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1
Ivanov, A. A., and N. P. Yashina. "Big Data Analysis in Multi-Criteria Choice Problems." Моделирование и анализ данных 12, no. 2 (2022): 5–19. http://dx.doi.org/10.17759/mda.2022120201.
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The problem of multi-criteria choice with non-uniform scales of criteria is considered. A model of a multicriteria choice problem is described, the main elements of which are sets of alternatives and quality criteria, as well as algorithms that allow ranking alternatives without prior reduction of the criteria scales to homogeneous ones. Algorithms for constructing aggregated ranking of alternatives are based on the construction of preference matrices by criteria containing information on the degree of superiority of one alternative over another. Propositions are proved that allow ranking alternatives with assessments according to two quality criteria. Algorithms for indexing alternatives are proposed that allow ranking alternatives for an arbitrary number of criteria. The best aggregated ranking is determined by the total distance to the rankings of alternatives by criteria. All algorithms have polynomial computational complexity, which makes it possible to work with large arrays of initial information. A software system for ranking alternatives in problems with big data has been developed. The initial information is stored in Excel tables, which makes it easy to take into account the limitations on the criteria scales. The operation of the software system is demonstrated by the example of choosing the best version of a drone for purchase in order to observe the terrain, shoot it and transmit information to the operator.
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Fazeelat, Noreen. "HEC Ranking Criteria in the Perspective of Global University Ranking Systems." Global Social Sciences Review 4, no. 2 (2019): 43–50. https://doi.org/10.5281/zenodo.4381136.
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Globalization and market-based orientation of higher education institutions has increased interest of students, parents, employers, universities, funding agencies, governments, and relevant stakeholders in knowing the rank of their concerned universities at national/global level. This has led to the emergence of several global university ranking systems. Aligned with international trends of ranking, Higher Education of Pakistan [HEC] also initiated ranking of universities at the national level in Pakistan. Subsequently, HEC designed comprehensive ranking criteria for ranking of universities and has implemented it since 2010. This study analyzes the nature of HEC ranking criteria and its constituent indicators from the perspective of global university ranking systems. Using content and thematic analysis, this study found that global university ranking systems mainly focus quality of research and teaching, while HEC additionally focuses effective and efficient use of resources, provision of facilities, social integration, and impact on community development.
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Fazeelat, Noreen, and Hussain Bashir. "HEC Ranking Criteria in the Perspective of Global University Ranking Systems." GLOBAL SOCIAL SCIENCES REVIEW (GSSR) IV, no. II (2019): 59–70. https://doi.org/10.31703/gssr.2019(IV-II).06.
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Globalization and market-based orientation of higher education institutions has increased interest of students, parents, employers, universities, funding agencies, governments, and relevant stakeholders in knowing the rank of their concerned universities at national/global level. This has led to the emergence of several global university ranking systems. Aligned with international trends of ranking, Higher Education of Pakistan [HEC] also initiated ranking of universities at the national level in Pakistan. Subsequently, HEC designed comprehensive ranking criteria for ranking of universities and has implemented it since 2010. This study analyzes the nature of HEC ranking criteria and its constituent indicators from the perspective of global university ranking systems. Using content and thematic analysis, this study found that global university ranking systems mainly focus quality of research and teaching, while HEC additionally focuses effective and efficient use of resources, provision of facilities, social integration, and impact on community development.
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Kozitsyn, Alexander Sergeevich. "About the Criteria for Ranking Conferences." Russian Digital Libraries Journal 27, no. 6 (2024): 1001–30. https://doi.org/10.26907/1562-5419-2024-27-6-1001-1030.
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Ranking of scientific conferences plays a key role in the academic world, determining the level of significance and prestige of each event. The main results of ranking from the point of view of personalities are: determining the quality and influence of the scientific conference; a guide for selecting conferences; encouragement to conduct quality research; formation of the scientific community; improving the visibility and influence of the conference on the scientific community. The paper provides an overview of currently existing conference catalogs and conference ranking systems, both automatically and with the participation of expert councils. It is noted that the purpose of creating national ranking systems is to promote and popularize domestic conferences and journals. Based on the review of currently existing conference catalogs and conference ranking systems, the following criteria for ranking conferences can be formulated. Indicators of publication activity, based on the results of the analysis of published conference materials. The credibility of the speakers and the organizing committee of the conference. Number of presentations and the ratio of the number of presentations to the number of conference participants. Time for reviewing applications submitted to the conference. Ratio of submitted and accepted applications. Retrospective and geographical parameters.
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Abdulrazzak, Fuaad Hasan, Salah AL-Hagree, Maher Al-Sanabani, et al. "Exploring the Potential of Yemeni Universities for Rankings: An Analytical Study of Prominent International University Ranking Systems." Journal of Engineering and Technological Sciences - JOEATS 3, no. 1 (2025): 48–72. https://doi.org/10.59421/joeats.v3i1.2476.
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Specifically targeting Yemeni universities, this research focuses on their potential to enter and enhance their positions in the international rankings such as Academic Ranking of World Universities (ARWU), Times Higher Education World University Ranking (THE), Quacquarelli Symonds World University Ranking (QS), and Webometrics Ranking and SCImago Institutions Rankings (SIR). Its objective is to encourage Yemeni universities to prioritize the criteria outlined in these rankings and view them as a means to access other international rankings. The research tackles the challenge of comprehending the criteria and application process required for Yemeni universities to participate in these rankings, as well as the rankings they have achieved. The study highlights the importance of this research by providing Yemeni university administrators with valuable insights regarding the criteria used for international rankings and the rankings obtained by Yemeni universities. This understanding can facilitate efforts to enhance the quality of higher education within these institutions. The findings of the study reveal that two Yemeni universities are listed in the QS. The University of Science and Technology, Yemen, ranks 151-170, while Thamar University in Thamar, Yemen, ranks 171-200. The findings of the study reveal that Ibb University secures the highest position among Yemeni universities in the SIR for 2023, with an overall score of 15.4 and a world rank of 3130. Sana’a University follows closely behind, ranking second among Yemeni universities according to these criteria, with a total score of 14.9 and a world rank of 3190.
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SLYUSARENKO, Olena. "MEASURING THE QUALITY OF EDUCATIONAL ACTIVITIES OF UNIVERSITIES: UKRAINIAN EXPERIENCE." Cherkasy University Bulletin: Pedagogical Sciences, no. 2 (2022): 12–20. http://dx.doi.org/10.31651/2524-2660-2022-2-12-20.
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This article analyzes the experience of Ukrainian higher education institutions in measuring the quality of educational activities in the context of quality assurance. Based on the study, it is established that in developing regulatory provisions for quality assurance, higher education institutions are guided by regulations of Ukraine (Law of Ukraine "On Higher Education", "On Education") and other documents (Standards and recommendations for quality assurance in European Higher Education Area, ESG 2015, European Association for the Quality Assurance of Higher Education (ENQA), European University Association (EUA), European Association for Higher Education (EURASHE), international rankings indicators). Criteria for accreditation, framework procedures and rating assessment criteria are used to measure the quality of educational activities in Ukrainian higher education institutions. It is determined that the use of ranking is not a popular component of the group of criteria for assessing the quality of higher education, although this indicator provides an opportunity to classify according to various criteria and is more indicative for determining the competitiveness of higher education. After all, the prospects of using rankings as a criterion for measuring the quality of educational activities is the possibility of ranking higher education institutions by competitive quality, analysis of the functioning of higher education institutions, which provides opportunities to improve the quality of educational services.
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Makki, Anas A., Ammar Y. Alqahtani, Reda M. S. Abdulaal, and Ayman I. Madbouly. "A Novel Strategic Approach to Evaluating Higher Education Quality Standards in University Colleges Using Multi-Criteria Decision-Making." Education Sciences 13, no. 6 (2023): 577. http://dx.doi.org/10.3390/educsci13060577.
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Universities worldwide strive to achieve excellence in research, learning, teaching, and community services, which are the pillars of their strategic plans. However, satisfying international ranking criteria might not directly result in achieving their strategic objectives. This paper proposes a new approach to rank university colleges by evaluating their educational quality. Standard sets of criteria from multiple international university ranking systems and a university’s strategic plan’s Balanced Scorecard perspectives were cross-mapped for the evaluation. A new multi-criteria decision-making-based framework was applied to six colleges of a non-profit university in the Middle East. It revealed their performance rankings and contributions to the university’s educational quality objectives. This paper offers a novel approach for universities to develop strategies that satisfy multiple international ranking systems while achieving their strategic goals concurrently and as per their priorities. Implications include informing university leaders on the most contributing colleges and assisting in pinpointing quality shortcomings and their causes. This helps universities design better performance indicators and allocate resources to achieve educational excellence. This paper puts forward a new approach for universities to unify their efforts in satisfying the requirements of multiple international ranking systems while achieving their strategic goals.
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Volchuk, V. M., Yu I. Dudrov, and V. I. Bol'shakov. "The ranking of the quality criteria of the metal." Physical Metallurgy and Heat Treatment of Metals, no. 2 (June 7, 2018): 10–16. http://dx.doi.org/10.30838/j.pmhtm.2413.240418.10.261.
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Noreen, Fazeelat, and Bashir Hussain. "HEC Ranking Criteria in the Perspective of Global University Ranking Systems." Global Social Sciences Review IV, no. II (2019): 43–50. http://dx.doi.org/10.31703/gssr.2019(iv-ii).06.
Full textAbstract:
Globalization and market-based orientation of higher education institutions has increased interest of students, parents, employers, universities, funding agencies, governments, and relevant stakeholders in knowing the rank of their concerned universities at national/global level. This has led to the emergence of several global university ranking systems. Aligned with international trends of ranking, Higher Education of Pakistan [HEC] also initiated ranking of universities at the national level in Pakistan. Subsequently, HEC designed comprehensive ranking criteria for ranking of universities and has implemented it since 2010. This study analyzes the nature of HEC ranking criteria and its constituent indicators from the perspective of global university ranking systems. Using content and thematic analysis, this study found that global university ranking systems mainly focus quality of research and teaching, while HEC additionally focuses effective and efficient use of resources, provision of facilities, social integration, and impact on community development.
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Zhikharevich, Boris. "Quality Criteria for Strategies of Russian Regions in 2023." Regionalnaya ekonomika. Yug Rossii, no. 1 (April 2024): 15–24. https://doi.org/10.15688/re.volsu.2024.1.2.
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The article analyzes the results of an expert survey on the quality criteria of the socio-economic development strategies of constituent entities of the Russian Federation. The survey was conducted as part of the preparation and realization of the expert discussion “Is ranking regional strategies possible?” organized at the Strategic Planning Leaders Forum 2023. The survey involved 25 professionals dealing with the strategic planning of regions and cities. According to the results of the survey, the top ten most important qualities of the regional strategy were as follows: quality of strategic analysis; adequacy or compliance with specifics of the region; realism in taking into account resource constraints and objective processes; compliance with national goals, Presidential Executive Orders, and federal documents; consistency / methodology / harmony of logic; clarity of priorities; readiness for implementation (elaboration of implementation tools); correctness of the set of target indicators and their values; ambition, scale of goals and projects; taking into account risks and measures to increase shock resistance. Expert opinions on the possibility and expediency of rating strategies are systematized, divided into four groups: a) ranking and comparison is possible and useful if the goals and rules are clearly formulated; b) you can compare, you can’t rank; c) it can be ranked based on the results of implementation; d) comparison and ranking are impossible or useless. The difficulties of ranking texts and the preference for comparison and evaluation of strategies within the framework of annual competitions are revealed. A scheme for organizing an annual contest of regional strategies is proposed, including the following stages: selection of experts; a kick-off seminar of experts, following which a set of parameters and criteria for evaluation of each parameter are fixed; independent evaluation; a meeting of experts to identify and discuss the reasons for strong differences in evaluations; a public online seminar with presentation of the results.
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Benkirane, Romain, Sébastien Thomassey, Ludovic Koehl, and Anne Perwuelz. "A consumer-based textile quality scoring model using multi-criteria decision making." Journal of Engineered Fibers and Fabrics 14 (January 2019): 155892501985477. http://dx.doi.org/10.1177/1558925019854773.
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In the clothing industry, the understanding of the quality is a major issue to well meet the customer needs. The dilemma that faces manufacturers is to find the balance between good quality and “overquality,” what the quality criteria are, and how to target requirements specifications. The aim of this study was to propose a multi-attribute ranking method of products. Ranking is based on an overall quality score. The quality score, here called consumer-based quality, is computed via the combination of textile testing and consumer perception to deterioration. Such a perception has been surveyed, and damage that can lead to end of life has been investigated. Collected data have been translated into a consumer sensitivity using multi-criteria decision making and fuzzy techniques. The fuzzy analytic hierarchy process has been used. Five damage categories have been weighted. A selection of appropriate tests according to standards has been completed to test the product resistance to the damage. The tests results have been computed with the consumer sensitivity to obtain the consumer-based quality score. Finally, the ranking method is applied on T-shirts, and a single score ranking is made possible and objectively depict perceived quality.
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Kroviakov, Sergii, Volodymyr Volchuk, Mykhailo Zavoloka, and Vitalii Kryzhanovskyi. "Search for Ranking Approaches of Expanded Clay Concrete Quality Criteria." Materials Science Forum 968 (August 2019): 20–25. http://dx.doi.org/10.4028/www.scientific.net/msf.968.20.
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The article is devoted to ranking of quality criteria for multiparameter, multicriteria production technology of lightweight concrete depending on their significancy using fractal formalism. The proposed approach allows to determine the operation area of stability of the physicomechanical properties of expanded clay concrete with preset technology parameters depending on the size of their self-similarity area and to control the technological process relative to the determine parameter - watertightness. For concrete thin-walled hydraulic structures watertightness is one of the main indicators of quality, ensuring the durability of structures. In the experiment conducted on 15 points optimal plan, 3 factors of the composition varied: sulfate-resistant portland cement, silica fume, water reducing admixture. Possibility of ranking the indicators of W/C and physicomechanical properties of expanded clay concrete depending on the variation of concrete mixture components is shown. Stability of physical and mechanical properties of expanded clay concrete is necessary to ensure its durability and accordance with design requirements. Expanded clay concrete similar to those described in this article can be used in reinforced concrete shipbuilding to reduce weight of structures.
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SLYUSARENKO, Olena. "MEASURING TOOLS QUALITIES OF EDUCATIONAL ACTIVITIES IN THE CONTEXT OF ENSURING EFFICIENCY UNDER THE CONDITIONS OF THE STATE OF WAR AND POST-WAR RECONSTRUCTION OF THE COUNTRY." Cherkasy University Bulletin: Pedagogical Sciences, no. 2 (2023): 5–14. http://dx.doi.org/10.31651/2524-2660-2023-2-5-14.
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Summary. This article the determined that there are various mechanisms for assessing the quality of educa-tional activity of higher education institutions: accredita-tion, framework and rating, but university ratings are the most optimal mechanism for measuring the quality of educational activity in the context of ensuring its effec-tiveness. The indicators for measuring the quality of edu-cational activity used in the Standards and Guidelines for Quality Assurance in the European Higher Education Area (ESG), the European Teaching Rankings (THE Europe Teaching Rankings) were analyzed the Shanghai Aca-demic Ranking of World Universities (Shanghai Ranking, ARWU), the Times Higher Education World University Rankings and the QS (Quacquarelli Symonds Ltd) World University Rankings, QS), national rating "TОР-200". According to the criteria of dominance of objective or subjective and result or reputation components, the main international university rankings can be ranked in the following order: (Shanghai Ranking) – objective, result; THE World University Rankings – objective-subjective, result-reputational; QS World University Rankings –sub-jective-objective, reputation-resultative; reputational andadvertising.The use of this approach to ensure the quality of edu-cational activity will improve the reputation of national universities in the world educational space, and in the modern conditions of war and in the period of post-war reconstruction, it will provide an opportunity to update and update educational programs, increase the im-portance of universities as a leading component of the socio-economic recovery of the country.
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Fouladi, Parisa, and Nima Jafari Navimipour. "Human resources ranking in a cloud-based knowledge sharing framework using the quality control criteria." Kybernetes 46, no. 5 (2017): 876–92. http://dx.doi.org/10.1108/k-01-2017-0007.
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Purpose This paper aims to propose a new method for evaluating the quality and prioritizing of the human resources (HRs) based on trust, reputation, agility, expertise and cost criteria in the expert cloud. To evaluate some quality control (QC) factors, a model based on the SERVQUAL is used. Design/methodology/approach The aim of this paper is to offer a fast and simple method for selecting the HRs by the customers. To achieve this goal, the ranking diagram of different HRs based on the different criteria of QC is provided. By means of this method, the customer can rapidly decide on the selection of the required HRs. By using the proposed method, the scores for various criteria are evaluated. These criteria are used in the ranking of each HR which is obtained based on the evaluation conducted by previous customers and their colleagues. First, customers were asked to select their needed criteria and then by constructing a hierarchical structure, the ranking diagram of different HRs is achieved. Using a ranking system based on evaluating the quality of the model, satisfy the customer needs to be based on the properties of HRs. Also, an analytical hierarchical process-based ranking mechanism is proposed to solve the problem of assigning weights to features for considering the interdependence between them to rank the HRs in the expert cloud. Findings The obtained results showed the applicability of the radar graph using a case study and also numerically obtained results showed that a hierarchical structure increases the quality and speed rating of HR ranking than the previous works. Originality/value The suggested ranking method in this paper allows the optimal selection due to the special needs of any given customer in the expert cloud.
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Wardoyo, Retantyo, and Tenia Wahyuningrum. "University Website Quality Ranking using Logarithmic Fuzzy Preference Programming." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3349. http://dx.doi.org/10.11591/ijece.v8i5.pp3349-3358.
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The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usability is a multi criteria decision-making problem that is caused by its complex structure. We use the Logarithmic Fuzzy Preference Programming (LFPP) method, which is a refinement of the Fuzzy Analytical Hierarchy Process method, to solve this problem. This research aims to re- assess the rank of five Indonesian university websites. Based on LFPP method, we obtain that the equation of model gets high consistency of the set priority matching to fuzzy pairwise comparison matrix of three selection criteria. The calculation results show that stickiness is the most significant factor that affects the quality of the websites.
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Retantyo, Wardoyo, and Wahyuningrum Tenia. "University Website Quality Ranking using Logarithmic Fuzzy Preference Programming." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (2018): 3349–58. https://doi.org/10.11591/ijece.v8i5.pp3349-3358.
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The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usability is a multi criteria decision-making problem that is caused by its complex structure. We use the Logarithmic Fuzzy Preference Programming (LFPP) method, which is a refinement of the Fuzzy Analytical Hierarchy Process method, to solve this problem. This research aims to re- assess the rank of five Indonesian university websites. Based on LFPP method, we obtain that the equation of model gets high consistency of the set priority matching to fuzzy pairwise comparison matrix of three selection criteria. The calculation results show that stickiness is the most significant factor that affects the quality of the websites.
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Norris, Pippa, and Ivor Crewe. "The Reputation of Political Science Journals: Pluralist and Consensus Views." Political Studies 41, no. 1 (1993): 5–23. http://dx.doi.org/10.1111/j.1467-9248.1993.tb01634.x.
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Individual scholars and their departments are increasingly judged according to the alleged ‘quality’ of the academic journals in which they publish. This article is the first systematic attempt to measure the reputation of political science journals and is designed for comparison with American academics' evaluations. It explores academics' criteria for judging journals, the consensus of judgement on any one journal across different criteria, and the range of evaluations between different journals. A relatively strong consensus is found among academic political scientists about the relative quality of political science journals. Nevertheless the order of the ranking depends, in part, on the measure adopted. Ranking by impact scores supports the consensus theory, while the rankings by quality lend some weight to the pluralist argument that specialist journals can be highly rated by small groups of experts while having little impact in the profession as a whole. Striking contrasts between the British and American political science communities are revealed.
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Singh Bedi, Sarabjeet, and Amanjot Kaur. "Ranking the Criteria of Quality Evaluation for Intellectual Information on Internet." International Journal on Integrating Technology in Education 3, no. 2 (2014): 31–37. http://dx.doi.org/10.5121/ijite.2014.3204.
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Basireddy, Chandana Sri, Vishwanth Kumar Goud Cheruku, Prabadevi B, Sivakumar Rajagopal, and Rahul Soangra. "Hybrid prediction models for assessing the Higher Education Institutions Performance in QS World Institution Rankings." F1000Research 13 (December 17, 2024): 1529. https://doi.org/10.12688/f1000research.155847.1.
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Background Quality Education is one of the primary requirements for the best survival. Pursuing higher education in a highly reputed institutions makes much difference in shaping the career of the individual. As many ranking and accreditation boards for higher education institutions like NAAC is prevalent, World ranking distinguishes institution reputation globally. The QS World University Ranking is a vital gauge for learners, educators, and institutions all over the world, allowing them to analyze and compare the quality and reputation of higher education. Predicting these rankings is difficult due to data availability concerns and QS’s frequent methodology revisions. Subjectivity and narrow criteria in rankings hamper the assessment of university greatness even more. Machine learning, data scraping, model adaptability, algorithm reversal, and short-term predictions are some existing ways of dealing with these difficulties. In this research, a prediction model for assessing institution performance in the QS World institution Rankings is designed using hybrid machine learning algorithms and optimization techniques. Two algorithms surpass others in forecasting ranks, according to the analysis. These hybrid models improves prediction accuracy of QS world rankings by integrating data analysis with model optimization using particle swarm optimization and Tabu search method.
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Husin, Saiful, Fachrurrazi Fachrurrazi, Maimun Rizalihadi, and Mubarak Mubarak. "Implementing Fuzzy TOPSIS on Project Risk Variable Ranking." Advances in Civil Engineering 2019 (July 8, 2019): 1–10. http://dx.doi.org/10.1155/2019/9283409.
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Managing construction risks with a large number of risks with small impact can increase the additional effort and cost of inefficient construction. Therefore the variables need to be eliminated. The aim of this study is ranking the risk variable based on its frequency of occurrence by integrating time, cost, and quality criteria simultaneously and selecting the top ten variables with the order of the most significant impact. The risk variable ranking based on triple project objective of cost, time, and quality simultaneously is a challenge for particular projects or regions contributing to the risk context. A number of 127 qualitative risk variables of 14 factors occurring in a project to be eliminated require a method/technique. A fuzzy TOPSIS method involving linguistics data is proposed to capture vague conditions. Results show that the top ten rankings of risk variables based on integrating the different weights of cost, time, and quality are successfully identified by concluding that the labour factor is the most dominant variable affecting project risk in context the rehabilitation and reconstruction posttsunami disaster, especially in Aceh-Indonesia. The variables are lack of labour, unskilled labour, undisciplined labour, and low productivity of labour. This condition can differ from different risk contexts. This research is different from other studies that only review cost, time, and quality separately. We stated that to integrate all three criteria of cost, time, and quality simultaneously is more logic to analyze risk variable ranking.
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Chang, Yen Ching, Chun Ming Chang, Liang Hwa Chen, and Tung Jung Chan. "A Multi-Criteria Image Quality Evaluation Scheme." Applied Mechanics and Materials 284-287 (January 2013): 2975–79. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2975.
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It is difficult to objectively and quantitatively judge image quality by a single criterion, such as contrast. In general, excessive contrast enhancement easily leads to a loss of image quality. Thus, it easily gives a wrong evaluation to rank image quality according to contrast values. In order to achieve a consistent result with human vision perception, balancing multi-criteria will be a feasible approach. Therefore, we propose a multi-criteria image quality evaluation scheme for ranking seven existing contrast enhancement methods. The scheme applies four criteria to a newly proposed way of computing a grey relational grade (GRGd), called the consistent grey relational grade (CGRGd). Experimental results show that our proposed CGRGd do provides a very effective mechanism to choose the best method for a specific purpose.
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Mao, Ling-Xiang, Jing Lan, Anqi Chen, Hua Shi, and Hu-Chen Liu. "New Approach for Quality Function Deployment Based on Linguistic Distribution Assessments and CRITIC Method." Mathematics 13, no. 2 (2025): 240. https://doi.org/10.3390/math13020240.
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Quality function deployment (QFD) is a customer-oriented quality management tool used to maximize customer satisfaction by considering the correlations between customer requirements and engineering characteristics. However, the conventional QFD method exhibits some shortcomings when used in real situations, especially in terms of correlation evaluation and engineering characteristic ranking. Therefore, the objective of this study is to propose a new QFD approach based on linguistic distribution assessments and the CRiteria Importance Through Inter-Criteria Correlation (CRITIC) method to improve the effectiveness of the traditional QFD. Specifically, linguistic distribution assessments are utilized to describe the relationships between customer requirements and engineering characteristics. The CRITIC method is extended and used to determine the ranking orders of the engineering characteristics identified in QFD. To demonstrate the feasibility and practicality of the proposed QFD, a case example regarding the performance management system’s development is presented. It is shown that the QFD approach proposed in this paper can not only represent experts’ uncertain linguistic relationship evaluations flexibly but also determine more reliable importance rankings of engineering characteristics in production planning.
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Aazagreyir, Paul, Peter Appiahene, Obed Appiah, and Samuel Boateng. "Comparative analysis of fuzzy multi-criteria decision-making methods for quality of service-based web service selection." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 1408. http://dx.doi.org/10.11591/ijai.v13.i2.pp1408-1419.
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This research aims to compare and analyze the effectiveness of four popular fuzzy multi-criteria decision-making methods (FMCDMMs) for quality of service (QoS)-based web service selection. These methods are fuzzy DEMATEL (FD), fuzzy TOPSIS (FT), fuzzy VIKOR (FV), and fuzzy PROMETHEE (FP), including three ranking versions of FV. We assess the ranking similarities among these methods using Spearman's relationship figure. We describe the algorithms of these six FMCDMs in the methods section. In a case study, we collected primary data from five experts who rated nine QoS factors of nine web services. We used modified online software for analysis. The results showed that S6 ranked first in all FMCDMs, except for FD and FP, where it was ranked 2nd and 8th, respectively. The highest association coefficient (Rs) was found between FT and FV ranking in S techniques (0.983), FV ranking in S and FV ranking in Q (0.883), and FT and FV ranking Q (0.833) when comparing the similarity measure of the FMCDMMs. This analysis helps decision-makers and researchers choose the most suitable methods for integrated FMCDMs studies and real-world problem-solving.
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Paul, Aazagreyir, Appiahene Peter, Appiah Obed, and Boateng Samuel. "Comparative analysis of fuzzy multi-criteria decision-making methods for quality of service-based web service selection." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 1408–19. https://doi.org/10.11591/ijai.v13.i2.pp1408-1419.
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This research aims to compare and analyze the effectiveness of four popular fuzzy multi-criteria decision-making methods (FMCDMMs) for quality of service (QoS)-based web service selection. These methods are fuzzy DEMATEL (FD), fuzzy TOPSIS (FT), fuzzy VIKOR (FV), and fuzzy PROMETHEE (FP), including three ranking versions of FV. We assess the ranking similarities among these methods using Spearman's relationship figure. We describe the algorithms of these six FMCDMs in the methods section. In a case study, we collected primary data from five experts who rated nine QoS factors of nine web services. We used modified online software for analysis. The results showed that S6 ranked first in all FMCDMs, except for FD and FP, where it was ranked 2nd and 8th, respectively. The highest association coefficient (Rs) was found between FT and FV ranking in S techniques (0.983), FV ranking in S and FV ranking in Q (0.883), and FT and FV ranking Q (0.833) when comparing the similarity measure of the FMCDMMs. This analysis helps decision-makers and researchers choose the most suitable methods for integrated FMCDMs studies and real-world problem-solving.
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Matkivskyi, Mykola, and Tetiana Taras. "Methods and technologies for evaluating the quality of higher education in the context of international standards: A comparison of the Ukrainian and Polish experience of creating ratings." Scientific Bulletin of Mukachevo State University Series “Pedagogy and Psychology” 10, no. 1 (2024): 116–27. http://dx.doi.org/10.52534/msu-pp1.2024.116.
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The need to study the methods and technologies used to assess the level of educational services is primarily due to constant transformations in educational processes, improvement of the system of criteria used to rank higher education institutions. The purpose of this study was to analyse the tools used to assess the performance of higher education institutions in the context of international standardization of educational processes. The main methods used in the study were statistical analysis, comparative and contrastive and analytical and synthetic methods. The comparative and contrastive analysis revealed that research activities were among the main indicators that influenced the creation of the rankings: Times Higher Education University Impact Rankings (60%), TOP-200 Ukraine (42%), Perspektywy (42%), and prestige and reputation: QS World University Rankings (40%), Times Higher Education University Impact Rankings (30%), TOP-200 Ukraine (12%). The methods used to create the rankings included statistical, pedagogical analysis, analytical and synthetic methods, and surveys. To create the Ukrainian ranking, 6 international (Webometrics, Scopus, Times Higher Education World University Rankings, Times Higher Education University Impact Rankings, UniRank, QS World University Rankings) and 4 national (participation in research project competitions, number of patents received, awards for young scientists, the ratio between the number of applications and the competition score) indicators were used. The Polish ranking was based on 29 indicators divided into groups: prestige, scientific effectiveness, scientific strength, scientific and educational potential, internationalization, graduates on the labour market, innovation, study conditions, and economic cooperation. In Poland, there was a balance between international and national criteria, while in Ukraine, about 70% of international criteria and 30% of national criteria were used. This work can be used in the future to improve national and international systems for assessing the quality of higher education, and to develop a unified mechanism for creating ratings
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AZADEH, A., S. F. GHADERI, and M. FAZLI AHMADABAD. "MULTI CRITERIA QUALITY ASSESSMENT OF PRODUCTS BY INTEGRATED DEA-PCA APPROACH." International Journal of Reliability, Quality and Safety Engineering 14, no. 03 (2007): 201–18. http://dx.doi.org/10.1142/s0218539307002593.
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The objective of this study is to analyze and assess multi criteria quality of products by an integrated multivariate approach. The integrated multivariate method is based on data envelopment analysis (DEA), principle component analysis (PCA) and numerical taxonomy (NT). To achieve the objective of this study 51-product quality indicators were identified. These indicators (inputs and outputs) were classified as direct and indirect product quality indices and they were classified according to balanced score card (BSC) arrangements. To show the applicability of the proposed approach, five random indicators were considered for seventeen workshops within a large machinery manufacturer. Moreover, PCA, DEA and NT were applied to the set of data. Furthermore, PCA and NT are used to verify and validate the findings of DEA. The results (ranking) of the three approaches were then compared by non-parametric Spearman and Kendall Tau correlation techniques. The results of the non-parametric analysis show should high level of correlation between the three approaches. Previous studies evaluate quality characteristics based on a set of selected criteria that does not reflect total quality characteristics, whereas this study proposes a total multi criteria quality approach to overcome these shortcomings. Moreover, this is the first study to utilize and apply an integrated multivariate approach based on DEA, PCA and Numerical Taxonomy for assessment, ranking and verification and validation of industrial units based on multi criteria quality characteristics. This means that DEA is used for ranking, PCA is used for evaluation of the importance of each indicator and NT is used for validation and verification purpose. The approach of this study may be applied to other manufacturers for total quality assessment of quality characteristics.
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Abdul Rashid, Mohd Fadzil, Kushairi Rashid, Muhamad Azrul Azwan Azman, Aizazi Lutfi Ahmad, and Hafriz Suhairi Mohd Rejab. "Malaysia Modern Rural Ranking Index: Validated Dimensions, Criteria Groups, and Performance Criteria." Pertanika Journal of Social Sciences and Humanities 32, no. 3 (2024): 805–27. http://dx.doi.org/10.47836/pjssh.32.3.01.
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In Malaysia, rural areas are essential economic focal points for improving rural livelihoods and reducing the life quality gaps between urban and rural areas. To that extent, rural assets and resources, such as agricultural, entrepreneurial, business, and tourism, along with rural infrastructure and service centres, become important elements to further explore and assess for synergising rural change towards a modern approach. To our knowledge, no attempt has been made to assess rural development progress based on the transition towards a modern rural approach. Inspired by this, the study aims to offer a Malaysia modern rural ranking index, the Malaysia Assessment Measure for Modern Rural Development (MAMRD)—a missing link approach for assessing rural development progress towards a modern rural system. The MAMRD was validated based on focus group discussions (FGDs) on three case studies and finally constructed on the three dimension-objectives measure, comprising 13 criteria groups and 141 criteria, to rank a village in a MAMRD star rating index. Using the MAMRD for the rural assessment is reliable for assessing the rural performance towards the future niches of rural development in Malaysia—rural resilient-liveability-and-smart.
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Diki, Susy Puspitasari, Jasrial, and Agus Djaya. "PREPARING UNIVERSITAS TERBUKA FOR A WORLD-CLASS UNIVERSITY THROUGH INTERNATIONAL RANKING SYSTEM." Asian Association of Open Universities Journal 4, no. 2 (2009): 106–12. http://dx.doi.org/10.1108/aaouj-04-02-2009-b005.
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Universitas Terbuka (UT) aims at achieving a world class standard. As one of the criteria of a world class university is the world ranking, it is planned that the university should achieve a high position within the ranking. At present, the ranking systems are the Shanghai Jiao Tong University (SJTU) and Times Higher Education Supplement (THES). Positions of open universities in world university ranking are in the lower tier, both according to the THES and SJTU. However, ranking have a positive impact toward universities. Hence, it is possible that through the effort of achieving a high ranking, UT will have the benefit of improving its quality of services toward its stakeholders. If it is possible that ranking system criteria also fits the achievement of quality, there should be an advantage of gaining a high position in world ranking for UT. Therefore the question is how to improve the position of an open university within the international university ranking. Although the main priority of UT mission is to provide access of quality education to those who for some reason cannot attend conventional education, UT has opportunities for improving its rank among world university ranking. The advantage of the ranking is that it can support the effort to become a world class university. UT should improve international cooperation, both in teaching and research, while the research activities should be improved, both in its quality and its publications in accredited international journals. Lastly, the effort for achieving a high position in world ranking should not ignore the main mission of UT to provide access to education.
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Karamaşa, Çağlar. "RANKING SERVICE QUALITY USING MULTI-CRITERIA DECISION-MAKING METHODS: EXAMPLE OF ERZURUM PROVINCE." Journal of process management and new technologies 9, no. 3-4 (2021): 1–12. http://dx.doi.org/10.5937/jpmnt9-33449.
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In the tourism sector, where competition conditions are getting stiffer, some of the essential factors to hotels stay operational include the need to achieve a sustainable structure and meet the needs and expectations of customers. One of the ways to ensure that the customer expectations and needs are met at the desired level is through service quality factors which are considered to increase customer satisfaction.This study aims to establish the service quality criteria in three-star hotels in Erzurum and to rank the importance levels of the determined criteria. The MAUT method was used to weight the determined criteria. The results of the MAUT method show that the “Quality of Housekeeping” was the most important service quality criteria in three-star hotels. This was followed by "Front Office Service Quality", "Cleanliness", "Reliability", "Restaurant Service Quality" and "Service and Process Flexibility" respectively. The criteria considered as the least important include "Courtesy and Respect Level" and "Price Availability".
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Karamaşa, Çağlar. "Ranking Service Quality using multi-criteria decision-making methods: Example of Erzurum province." Journal of Process Management. New Technologies 9, no. 3-4 (2021): 1–12. http://dx.doi.org/10.5937/jouproman2103001k.
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In the tourism sector, where competition conditions are getting stiffer, some of the essential factors to hotels stay operational include the need to achieve a sustainable structure and meet the needs and expectations of customers. One of the ways to ensure that the customer expectations and needs are met at the desired level is through service quality factors which are considered to increase customer satisfaction. This study aims to establish the service quality criteria in three-star hotels in Erzurum and to rank the importance levels of the determined criteria. The SWARA method was used to weight the determined criteria. The results of the SWARA method show that the "Price Availability" was the most important service quality criteria in three-star hotels. This was followed by "Courtesy and Respect Level", "Reliability", "Service and Process Flexibility", "Restaurant Service Quality" and "Cleanliness" respectively. The criteria considered as the least important include "Quality of Housekeeping" and "Front Office Service Quality".
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Al Hassani, Kamal Kazem, and Diaa Abdel Sattar Shanein. "Exploring Readiness Oof Iraqi Universities To Achieve The Quality Of Sustainable Education According To (Quacquarelli Symonds) QS Standards." Iraqi Administrative Sciences Journal 2, no. 3 (2018): 159–76. http://dx.doi.org/10.33013/iqasj.v2n3y2018.pp159-176.
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This study sought to address a vital issue for Iraqi universities regarding their readiness to implement QS (Quacquarelli Symonds) standards to enhance the quality of sustainable education by focusing Iraqi universities on issues that increase their readiness to improve their educational quality indicators and QS World University Rankings ®). These criteria cover six main areas: academic reputation, employer review, teaching citations, faculty ratio compared to students, international students, and international professors. The researchers conducted a series of structured interviews for a number of faculty members, senior leaders and committees formed at the University of Al-qadissiyah and Al-Muthanna University for the purpose of determining the critical criteria for QS ranking, in which the ranking of the two universities can be improved according to the above standard. The current research found a set of conclusions and recommendations, in order to support its initiative to achieve outstanding levels of educational quality according to the QS ranking, the human resource in Iraqi universities, represented by the professors and teaching staff of the university, needs training and academic improvement in the field of global publishing as well as improving the English language. The most important recommendations were the establishment of training courses and workshops to promote the global academic publication and improving professors and teaching staff's English language as they affect 60% of the degree of the QS academic reputation and the citations.
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Polezhaeva, Tatiana Yu. "World University Rankings: Peculiarities and Differences in Methodology." Теория и практика общественного развития, no. 2 (February 28, 2024): 60–5. http://dx.doi.org/10.24158/tipor.2024.2.7.
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This paper analyses world university rankings. Rankings remain a tool for assessing the effectiveness of edu-cational activities of both individual universities and national educational systems as a whole. The work consid-ers the methodologies of the QS World University Rankings, the Academic Ranking of World Universities (AR-WU), the Times Higher Education World University Rankings (THE), and the Moscow International University Ranking “Three Missions of the University”. Global rankings of leading universities can be based on various indicators and criteria, such as: academic reputation, quality of teaching and research activities, publication activity of faculties, international cooperation, university infrastructure and resources, as well as international influence and attractiveness for students. However, it is important to note that the methodology of university rankings has its own peculiarities and limitations. University rankings can be subjective, not taking into account all aspects of university activity and regional, political, and social peculiarities of higher education systems.
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Kusuma, Dedy Hidayat, Moh Nur Shodiq, and Indah Kurnia Fitriani. "Parallel Class Ranking Model Using Analytic Hierarchy Process With Multi Criteria." INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 4, no. 1 (2020): 90–107. http://dx.doi.org/10.29407/intensif.v4i1.13769.
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Madrasah Aliyah Negeri (MAN) Banyuwangi using a worksheet which can lead to error occurrences and slow decision making. A system for decision support that can improve the ranking process and quality were developed in this paper. The proposed system implemented the codeigniter framework, MySQL database, and PHP programming language. The system provided three user roles which are teacher, student, and administrator role. These four parameters are used as ranking system input, including academic values, non-academic values, violation scores, and student attendance. The ranking process was conducted by applying the analytic hierarchy process (AHP) method. The developed decision support system was tested using two ways: the black box testing method and providing questionnaires. Black box testing result shows that the system has functionally worked, while user’s questionnaire gives 92,29% well accepted by users. The results show that the decision support system can help manage values and determine the parallel ranking list.
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Szterlik-Grzybek, Paulina. "Multicriteria analysis of quality of life – the case of Polish voivodeships." Scientific Papers of Silesian University of Technology. Organization and Management Series 2025, no. 218 (2025): 637–51. https://doi.org/10.29119/1641-3466.2025.218.36.
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Purpose: This paper aims to analyze Polish voivodeships in terms of quality of life (QoL) in 2022 and determine the criteria that can be chosen to check the QoL of Polish citizens. The study shows the usefulness of using the multicriteria decision-making (MCDM) methods to create the final ranking. These kinds of analyses can be crucial for assessing the well-being of residents of given areas. They can serve as guidelines for policymakers on how to shape regional policies. MCDM methods can be seen as valuable tools for such purposes. Design/methodology/approach: A set of nine criteria affecting the quality of life of Polish citizens in 2022 was chosen. The data was obtained from the Statistics Poland database. The ranking was prepared using the Preference Ranking Organization Method for Enrichment of Evaluations II (PROMETHEE II). Criteria weights were determined by Shannon’s entropy method and equal weight method. Findings: The study shows that considering the chosen criteria and their weights determined with Shannon’s entropy method, in 2022, QoL was the highest in the Mazowieckie and Wielkopolskie voivodeships, while the lowest in Lubelskie and Warmińsko-Mazurskie voivodeships. The research results can also lead to the assumption that geographical location significantly impacts the residents' QoL. Research limitations/implications: The main limitation of the study was the selection of appropriate criteria that affect QoL in Poland post-COVID-19 pandemic. The subsequent ranking results are subjective due to the high dependence on criteria. The rank is also sensitive to changes in the weights of individual criteria. Practical implications: The results of the study allow us to demonstrate the diversity of Polish voivodeships in terms of the QoL of Polish citizens. At the same time, the analysis of the criteria allowed for capturing the state of well-being of the population, considering the maximization of some criteria while, at the same time, minimization of others. Social implications: The paper aims to highlight the importance of using MCDM methods and tools to observe the level of quality of life on the NUTS-2 level. Originality/value: The paper shows an up-to-date approach to the problem of the multicriteria assessment of QoL in Poland on a regional level. Keywords: quality of life, multicriteria decision making, PROMETHEE II, entropy. Category of paper: Research paper.
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Kapoor, Ashwarya, Rajiv Sindwani, and Manisha Goel. "Ranking Mobile Wallet Service Providers Using Fuzzy Multi-Criteria Decision-Making Approach." International Journal of E-Business Research 17, no. 4 (2021): 19–39. http://dx.doi.org/10.4018/ijebr.2021100102.
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The aim of this paper is to identify key dimensions of mobile wallet (m-wallet) service quality and to prioritize mobile wallet service providers on the basis of these dimensions. Based on extensive literature review and discussion with an expert, six key dimensions of m-wallet service quality, namely convenience, reliability and security, responsiveness, aesthetics, accessibility, and information quality/content, are proposed in this paper. Fuzzy TOPSIS approach is proposed to evaluate and rank mobile wallet alternatives. Four major mobile wallet players from the Indian market are prioritized on the basis of six key service quality dimensions. Examination of the literature indicates that this study is among the first attempts to identify m-wallet service quality dimensions as well as to prioritize mobile wallet alternatives using fuzzy TOPSIS. The findings will be valuable to academicians and practitioners alike. The key dimensions proposed in the paper will enlighten m-wallet service providers about the aspects of services to be focused on. Moreover, the fuzzy TOPSIS technique discussed in this paper will help m-wallet companies to compare them with their competitors. This will help managers to develop strategies to improve their services. On the academic front, the study will extend the knowledge base in the field of self-service technologies.
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Dedy Kurniadi. "Implementation of a Framework-Based Information System for Evaluating the Quality of Scientific Publications in Indonesian Higher Education Institutions Using Promethee." Journal of Information Systems Engineering and Management 10, no. 25s (2025): 13–19. https://doi.org/10.52783/jisem.v10i25s.3928.
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Introduction: Scientific publications play a crucial role in assessing the academic performance of higher education institutions, especially in Indonesia. The current evaluation system still prioritizes the quantity of publications over their quality, with citation indicators and journal quartile rankings not yet being the main focus. Based on this, there is a need for an evaluation system that can provide a comprehensive assessment, ensuring that the quality of scientific publications in Indonesian universities can be measured transparently and objectively. Objectives: aims of this study is to develop a framework-based information system using the promethee method to objectively and data-driven evaluate the quality of scientific publications in Indonesian universities. The system is designed to assess publications based on indicators such as citations, and journal quartile rankings. Methods: This study employs an information system approach and multi-criteria analysis to evaluate the quality of higher education scientific publications in Indonesian. The primary data is obtained from Scopus and Scimago Journal Rank (SJR), which provide information on the number of publications, journal indexing, citation counts, and journal quartile rankings (Q1 – Q4, Non-Q) as a journal metrics. The data from Scopus is then ranked using the promethee method, with Min-Max normalization applied to standardize the evaluation process. Results: we analysis of 83,601 data scientific publications during the 2020-2024 period, the distribution is as follows: 19,921 publications in Q1, 18,745 in Q2, 25,573 in Q3, 11,125 in Q4, and 8,237 publications classified as Non-Q (without a quartile ranking). Based on the ranking using the promethee method, Universitas Airlangga secured the first position with the highest Net Flow (1.415652), followed by Universitas Indonesia in second place (1.202783) and Universitas Gadjah Mada in third place (0.719385). Conclusions: The application of the promethee method in scientific publication evaluation offers a more comprehensive multi-criteria approach. promethee can be applied in research to generate a more objective ranking, making it a valuable tool for stakeholders in Indonesia to effectively monitor scientific publications.
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Galińska, Barbara, and Riccardo Rossi. "Multi-Criteria Evaluation and Ranking of Suppliers – Case Study Analysis." Logistics and Transport 39, no. 3 (2018): 21–30. http://dx.doi.org/10.26411/83-1734-2015-3-39-8-18.
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The article presents a coherent methodology of a multiple criteria evaluation of suppliers in furniture industry covering: definition of a set of variants - laminated chipboards suppliers, definition of a consistent family of criteria that allows for their comprehensive evaluation, modeling of decision maker’s (DM’s) preferences (including: the definition of the importance of criteria and the DM’s sensitivity towards changes of criteria values) and finally computational experiments resulting in the final ranking of suppliers. Six suppliers have been taken into consideration. In the family of criteria evaluating the suppliers, 9 measures have been taken into account. These have included, among others: product price, product quality, timeliness and reliability of delivery or cost of delivery. In the computational phase a selected MCDM/A ranking method which is Electre III/IV has been applied.
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Roszkowska, Ewa, Marzena Filipowicz-Chomko, Marta Kusterka-Jefmańska, and Bartłomiej Jefmański. "The Impact of the Intuitionistic Fuzzy Entropy-Based Weights on the Results of Subjective Quality of Life Measurement Using Intuitionistic Fuzzy Synthetic Measure." Entropy 25, no. 7 (2023): 961. http://dx.doi.org/10.3390/e25070961.
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In this paper, an extended Intuitionistic Fuzzy Synthetic Measure (IFSM) with intuitionistic fuzzy (IF) entropy-based weights is presented. This method can be implemented in a ranking problem where the assessments of the criteria are expressed in the form of intuitionistic fuzzy values and the information about the importance criteria is unknown. One example of such a problem is measuring the subjective quality of life in cities. We join the debate on the determination of weights for the analysis of the quality of life problem using multi-criteria methods. To handle this problem, four different IF entropy-based weight methods were applied. Their performances were compared and analyzed based on the questionnaires from the survey concerning the quality of life in European cities. The studies show very similar weighting systems obtained by different IF entropy-based approaches, resulting in almost the same city rankings acquired through IFSM by using those weights. The differences in rankings obtained through the IFSM measure (and only by one position) concern the six cities included in the analysis. Our results support the assumption of the equal importance of the criteria in measuring this complex phenomenon.
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Sukamto, Sukamto, Riki Ario Nugroho, and Chairia Octaviani. "APPLICATION OF THE VIKOR METHOD FOR THE BEST JOB SEEKERS RECOMMENDATION (CASE STUDY: PT PLN RIAU AND RIAU ISLANDS REGION)." Jurnal Teknik Informatika (Jutif) 3, no. 5 (2022): 1165–75. http://dx.doi.org/10.20884/1.jutif.2022.3.5.274.
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PT. PLN (Persero) in serving the community requires quality human resources. The quality of employees in supporting the advancement of a company is very important, so many companies are trying to have quality employees. The way that can be done is by recruiting prospective job seekers according to the criteria desired by the company. The VIKOR method is a ranking method using a multi-criteria ranking index based on a certain measure of proximity to the ideal solution. The alternative consists of 10 job seekers, with the criteria used are Endurance tests, academic tests, psychological tests, laboratory tests and interview tests. The final result is to provide recommendations for the five best job seekers in the order of AB, AC, AD, AF and AG.
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Radhi, Ahmed Reyadh, and Abbas M. Burhan. "Multi-Criteria Optimization for Governmental Projects Priority Ranking Depending on Fuzzified Experts’ Opinion using Hygiene Approach." Journal of Engineering 28, no. 12 (2022): 113–24. http://dx.doi.org/10.31026/j.eng.2022.12.08.
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Each organization struggles to exploit each possible opportunity for gaining success and continuing with its work carrier. In this field, organization success can be concluded by fulfilling end user requirements combined with optimizing available resources usage within a specified time and acceptable quality level to gain maximum profit. The project ranking process is governed by the multi-criteria environment, which is more difficult for the governmental organization because other organizations' main target is maximizing profit constrained with available resources. The governmental organization should consider human, social, economic and many more factors. This paper focused on building a multi-criteria optimizing projects ranking framework using hygiene methodology from sequential stages. The proposed framework can deal with numerical and linguistic criteria considering experts, or consultant evaluation on projects, in addition to criteria weights. Fuzzy logic and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) methods are used to control the ranking process within a limited allocated budget. The importance of the proposed approach is making projects ranking getting out from dependence on economic measures that govern the overall process to non – measurable criteria that affect organization success and the proposed projects selection process.
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Minnullin, Anna, Ruslan Minnullin, Anna Kopytova, and S. Dorofeev. "Assessment of the quality of staff competence: method and application experience." E3S Web of Conferences 217 (2020): 07003. http://dx.doi.org/10.1051/e3sconf/202021707003.
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The method for assessing the quality of training of energy company personnel consists in identifying criteria for assessing the quality of training energy and industrial equipment sales manager, ranking these criteria according to their importance, and determining the weights of these criteria, which will allow separating general and professional criteria of personnel for understanding the importance of basic education and subsequent experience. Approbation of the results obtained on the basis of a multi-criteria assessment allows heads of companies to attract managers with a higher professional level of training.
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Mhlanga, Sandile Thamie, and Manoj Lall. "Influence of Normalization Techniques on Multi-criteria Decision-making Methods." Journal of Physics: Conference Series 2224, no. 1 (2022): 012076. http://dx.doi.org/10.1088/1742-6596/2224/1/012076.
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Abstract One of the most significant steps in solving multi criteria decision-making (MCDM) problems is the normalization of the decision matrix. The consideration for the normalization of the data in a judgment matrix is an essential step as it can influence the ranking list. This study investigates the effects of normalization on an AHP-VIKOR hybrid method in the selection of Web services. The Web services considered in this research offer similar functionalities but with different Quality of Services (QoS). For the purpose of this study, ten web services were selected. Each of these services were evaluated against five difference QoS requirements namely, response time, throughput rate, latency, availability, and reliability to determine the most appropriate Web services. The five normalization techniques employed are linear sum, linear max, linear max-min, enhanced accuracy and vector normalization. It was observed that different ranking lists are produced when applying different normalization techniques to the VIKOR method and normalization has an influence on the final ranking list.
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Mladenovic-Ranisavljevic, Ivana, Ljiljana Takic, Milovan Vukovic, Djordje Nikolic, Nenad Zivkovic, and Pedja Milosavljevic. "Multi-criteria ranking of the Danube water quality on its course through Serbia." Serbian Journal of Management 7, no. 2 (2012): 299–307. http://dx.doi.org/10.5937/sjm7-2549.
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Trung, Do Duc, Hoang Xuan Thinh, and Le Dang Ha. "Comparison of the RAFSI and PIV method in multi-criteria decision making: application to turning processes." International Journal of Metrology and Quality Engineering 13 (2022): 14. http://dx.doi.org/10.1051/ijmqe/2022014.
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Multi-criteria decision-making (MCDM) methods are used in many fields so as to rank alternatives and find the best one. However, rank reversal after adding or removing an alternative can occur in using some of the methods. In this study, two methods RAFSI and PIV were compared for application of making multi-criteria decisions. They are known to be capable of avoiding rank reversal problems. Sixteen 9XC steel turning tests were performed for the experiment. Tool holder length, spindle speed, feed rate and depth of cut are parameters that vary in each test. Three criteria for evaluating the turning process consist of MRR, RE and Ra. Four methods including MEREC, ROC, RS and EQUAL were used for determining weights of the criteria. The blend of two multi-criteria decision making methods (RAFSI and PIV) with four weight-determining methods resulted in eight ranking options. This is a new approach of the study. A positive outcome was reached that all eight ranking options identified the same best test. The best experiment must ensure to have maximum MRR and minimum RE and Ra simultaneously. A detailed discussion of the ranking results in each case was also carried out. Finally, the directions and issues that need to be studied further were pointed out in this paper as well.
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Pourahmadi, Amirali, Taghi Ebadi, and Manouchehr Nikazar. "Industrial Wastes Risk Ranking with TOPSIS, Multi Criteria Decision Making Method." Civil Engineering Journal 3, no. 6 (2017): 372–81. http://dx.doi.org/10.28991/cej-2017-00000098.
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Today, various types of industrial waste are produced in different industries to meet human demands. Growth in quantity as well as complication in quality of these wastes are followed by the advance of technology. Management of such wastes need a proper identification and comprehensive understanding of the risk, emerging after the harmful characteristics of the wastes and negatively affect the human and environment health. Wastes risk ranking systems, in this regard, links between the industrial wastes indices and mathematical method/algorithm, being able at estimation of the risk level as well as comparison between the wastes of an industrial unit based on the risk level. Complexity of the method, high computational costs and lack of proper description of waste using selected indices in former studies has led to the proposal of an applicable and flexible method. In this study, the “TOPSIS Multi-Criteria Decision-Making (MCDM) method” was developed in order for ranking the risk of various industrial wastes. Totally, a number of 9 subsidiary indices on the human health and 11 subsidiary indices on the environment health was identified and employed. Finally, the proposed waste risk ranking system was used for ranking 9 types of identified industrial waste in three industrial section. Results show that the “TOPSIS MCDM”, due to the lack of complexities in method and limited computational costs, is an efficient and appropriate method for ranking industrial wastes.
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Slyusarenko, O. "ACADEMIC RANKING - PREREQUISITE FOR IMPLEMENTING QUALITY MANAGEMENT SYSTEM IN HIGHER EDUCATION INSTITUTIONS." Innovative Solution in Modern Science 6, no. 42 (2020): 31. http://dx.doi.org/10.26886/2414-634x.6(42)2020.3.
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The article aims to substantiate the concept that one of the key prerequisites for implementing quality management system in higher education institutions and making productive management decisions for updating higher education in Ukraine is the formation of an objective ranking mechanism. The challenges and risks in higher education in the case of ignoring the ranking mechanism applied to measure the quality, performance or effectiveness of higher education have been identified.The study subject is the analysis of ranking as a criterion tool for managing higher education institutions. The purpose of the article is to substantiate the importance of ranking for building an effective management system for higher education institutions. The basic study methods are systemic and comparative analysis – systemic tools reveal the importance of ranking as one of the key elements in the management system of higher education institutions, and the comparative method verifies the interdependence of ranking indicators and quality of educational services. Research findings indicate the need for continuous improvement for ranking mechanisms applied to measure the quality, performance or effectiveness of higher education. In the era of globalization, the ranking of higher education institutions is becoming an important tool for assessing the quality of higher education; it serves to mobilize the university function as the locomotive of social development. The research findings can be used to improve the ranking mechanisms and create an effective management system for higher education institutions. The findings help to draw correlations between the effectiveness of ranking tools and the effectiveness of the management system for higher education institutions.Keywords: ranking; ranking tools for assessing the quality of higher education; criteria; correlative dependence; system connections; prospects for modernization of higher education in Ukraine.
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Guseva, Natalija. "Identification and Analysis of the Electronic Commerce Quality Criteria." Business: Theory and Practice 11, no. (2) (2010): 96–106. https://doi.org/10.3846/btp.2010.11.
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Internet penetration in everyday life determined the emergence of new business area, where the businessmen can compete, offer and buy goods and services. With the view to reinforce business competitive abilities it is necessary to analyse the e-solutions, which help to reduce the distance factors and optimize information exchange process, and which become an indispensable tool for international business and marketing. This paper presents a literature review and analysis to find the guidelines of e-commerce quality assessment and choice of appropriate system, with a vast range of models proposed for e-solution quality evaluation, none of which was accepted globally. However, a content analysis allowed to identify the main groups of criteria to be applied for e-commerce quality evaluation. The list of criteria groups presented in the paper indicates those most considered by scientists and developers, and those deficient in attention. As the literature base is accumulated during long term, some of the proposed criteria could lose their importance nowadays, thus the e-commerce expert survey was performed. This survey allowed the specification of actually important e-commerce quality criteria. Despite the assumption that the most mentioned (in the literature and by the experts) criteria are of the first priority, the competitive advantage can be hidden in the analysis of less popular criteria, which can discover new potential of e-commerce quality improving, developing, and market position consolidation.
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Basirat, Sepideh, Sadaf Raoufi, Danial Bazmandeh, Sayeh Khamoushi, and Mahmoudreza Entezami. "Ranking of AI-Based Criteria in Health Tourism Using Fuzzy SWARA Method." Computer and Decision Making: An International Journal 2 (March 30, 2025): 530–45. https://doi.org/10.59543/comdem.v2i.13795.
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Health tourism, as a dynamic and rapidly growing sector of the tourism industry, plays a fundamental role in strengthening national economies, increasing international interactions and improving the quality of healthcare services. By integrating healthcare, wellness and recreational services, this field has become one of the key drivers for attracting foreign tourists. The emergence of artificial intelligence (AI) as a transformative technology offers unparalleled potential to optimize health tourism services. Using AI in trip planning, improving user experience and predicting the needs of health tourists has gained significant importance. This study aims to identify and rank AI-based criteria in health tourism. By reviewing and analysing previous studies, key criteria in health tourism influenced by AI were identified. Subsequently, these criteria were evaluated and ranked using Fuzzy SWARA method. The ranking results indicate that “healthcare service quality (C11)”, “competence and reputation of physicians (C12)”, “hospital equipment and facilities (C13)”, “political stability and security (C41)” and “access to medical information (C14)” were ranked first to fifth, respectively. These findings highlight the crucial role of AI in enhancing service quality and improving the experience of health tourists. The results of this study can be beneficial for policymakers and stakeholders in the health tourism sector for better planning and attracting more tourists.
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Zubrilina, Е. М., and О. S. Babenko. "Selection of Criteria for Optimization of Factors Determining the Quality of Tillage by a Cultivator." E3S Web of Conferences 493 (2024): 01019. http://dx.doi.org/10.1051/e3sconf/202449301019.
Full textAbstract:
A method for a priori ranking of factors influencing the process of tillage with a cultivator is presented. Determination of optimal criteria for a combined unit with the necessary technical characteristics and high operational efficiency. Hierarchy analysis method is used to compare optimization criteria for a combined cultivator.
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Izadpanah, Shaghayegh, Hamed Vahdat-Nejad, and Hamid Saadatfar. "A Framework for ranking ubiquitous computing services by AHP analysis." International Journal of Modeling, Simulation, and Scientific Computing 09, no. 04 (2018): 1850023. http://dx.doi.org/10.1142/s179396231850023x.
Full textAbstract:
With the increasing advances in technology, ubiquitous computing services have been able to satisfy users by providing high quality services. Such services can be found in different areas such as healthcare, social networks, urban transportation, and multimedia. Nowadays, there are a wide variety of services with similar functionalities in each of the abovementioned areas. Ranking these services based on quality of service (QoS) criteria can help the users to choose the most appropriate services that meet their preferences. The aim of this research is to create a comprehensive framework based on QoS criteria in ubiquitous environment to rank services. At first by extending the previous research, this paper gathers and classifies the QoS criteria into four classes of architecture, usability, ubiquity, and security. This classification organizes QoS criteria in a hierarchical structure. Afterward, Analytic Hierarchy Process (AHP) is used to propose a customized service ranking framework according to the values of each criterion. To utilize the opinions of experts of the subject, a questionnaire is designed to evaluate the proposed structure of QoS criteria and to determine the weight of each criterion. Finally, comparing the proposed framework with previous approaches indicates that this framework includes a complete set of criteria, which leads to a deep perception of QoS in a ubiquitous computing environment. Moreover, the computed inconsistency ratio indicates that the performed decision-making process has a reasonable consistency.