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Journal articles on the topic 'PROMETHÉE methods'

Author: Grafiati

Published: 11 September 2021

Last updated: 17 July 2025

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Gualdi, Baptiste, Emma Binet-Stéphan, André Bahabi, Roxane Marchal, and David Moncoulon. "Modelling Fire Risk Exposure for France Using Machine Learning." Applied Sciences 12, no. 3 (2022): 1635. http://dx.doi.org/10.3390/app12031635.

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Wildfires generating damage to assets are extremely rare in France. The peril is not covered by the French natural catastrophes insurance scheme (law of 13 July 1982). In the context of the changing climate, Caisse Centrale de Réassurance—the French state-owned reinsurance company involved in the Nat Cat insurance scheme—decided to develop its knowledge on the national exposure of France to wildfire risks. Current and future forest fires events have to be anticipated in case one of the events threatens buildings. The present work introduces the development of a catastrophe loss risk model (Cat model) for forest fires for the French metropolitan area. Cat models are the tools used by the (re)insurance sector to assess their portfolios’ exposure to natural disasters. The open-source national Promethée database focusing on the South of France for the period 1973–2019 was used as training data for the development of the hazard unit using machine learning-based methods. As a result, we observed an extension of the exposure to wildfire in northern areas, namely Landes, Pays-de-la-Loire, and Bretagne, under the RCP 4.5 scenario. The work highlighted the need to understand the multi-peril exposure of the French country and the related economic damage. This is the first study of this kind performed by a reinsurance company in collaboration with a scholarly institute, in this case EURIA Brest.

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Podvezko, Valentinas, and Askoldas Podviezko. "PROMETHEE I Method Application for Identification of the Best Alternative." Business: Theory and Practice 10, no. (2) (2009): 84–92. https://doi.org/10.3846/1648-0627.2009.10.84-92.

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Decision making in human activity is often about an ability to make the best choice among a few possible alternatives. Such tasks could be selection of a technological or investment project, comparative analysis of commercial activity, financial strength or strategic potential of a number of enterprises, assessment of development level of different countries or country regions, etc. A considerable recent usage increase of multicriteria methods in quantitative analysis of social or economic phenomena is clearly observed. Such methods, but with deeper logic are using the so-called preference functions. PROMETHEE methods are such methods. Choice of the functions and their parameters is made by decision-makers. Chronologically, the first such a method is called PROMETHEE I. It furnished its core logic for all subsequent PROMETHEE methods. In such cases, when multi-criteria methods do not offer the best alternative, PROMETHEE I does it.

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Soni, Vivek, Surya Prakash Singh, and Devinder Kumar Banwet. "Precise decisions in Indian energy sector by imprecise evaluation." International Journal of Energy Sector Management 10, no. 1 (2016): 118–42. http://dx.doi.org/10.1108/ijesm-12-2014-0011.

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Purpose – The purpose of this paper is to prioritize Indian energy sector projects, namely, coal, gas, hydro and solar using fuzzy PROMETHHE (F-PROMETHEE) and Visual PROMETHEE applications and multicriteria decision-making (MCDM) analyses. Design/methodology/approach – The MCDM outranking approach of PROMETHEE under fuzzy environment is used. Four projects of energy sector are selected as alternatives and are compared based on various criteria. These criteria selected on the perspectives of life cycle costing (LCC) analysis and related management approaches for prioritizing projects for effective decision-making (DM). The F-PROMETHEE is described and results are also compared with outranking application in Visual PROMETHEE software based on same set of criteria. For better understanding, the graphical representations of the multicriteria problem are also shown using graphical analysis for interactive aid. Findings – On applying F-PROMETHEE on four energy projects, coal and solar projects outrank high and results shows that coal-based project is preferable and should be considered. Research limitations/implications – Here F-PROMETHEE and Visual PROMETHEE are used as MCDM techniques. However, few other MCDM techniques such as ELECTRE and EATWOS can be also explored to outrank Indian energy sector projects. Practical implications – Indian energy sector involves high degree of complexity for effective DM on the front of prioritized investment-related capacity addition through energy projects. Outranking methods like F-PROMETHEE is able to address the criteria to criteria impact on DM support precisely. Social implications – The finding can provide information to the government or public sector regarding various possible investment options on energy projects in India. Originality/value – This paper can be supplement and act as the support for DM in conflicting situations specifically for prioritizing investments on various energy projects, which further can synergize conflicting ideas of various stakeholders of the Indian energy sector.

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Goswami, Shankha Shubhra. "Outranking Methods: Promethee I and Promethee II." Foundations of Management 12, no. 1 (2020): 93–110. http://dx.doi.org/10.2478/fman-2020-0008.

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AbstractThis article highlights the application of the Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) I and II in selecting the best laptop model among six different available models in the market. Seven important criteria, that is, processor, hard disk capacity, operating system, RAM, screen size, brand, and color, are selected, based on which the selection process have been made. Analytic hierarchy process (AHP) is adopted for calculating the weightages of the seven criteria and PROMETHEE is applied to select the best alternative. PROMETHEE I provides the partial ranking and preferences of one model over another, whereas PROMETHEE II provides the complete ranking of the alternatives. From this analysis, Model 4 is coming out to be the best laptop model occupying the first position and Model 1 occupies the last position, thus indicating it as the worst model among the group. The objectives of this article are to select the best laptop model among six available alternatives and to understood the steps of both multiple criteria decision-making (MCDM) methodologies, that is, PROMETHEE and AHP, in details.

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Baki, Rahmi. "For Supplier Evaluation Process through Fuzzy PROMETHEE Method." International Journal of Materials, Mechanics and Manufacturing 5, no. 3 (2017): 183–86. http://dx.doi.org/10.18178/ijmmm.2017.5.3.314.

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Praveena, J., and K. Ramji. "Selection of Seventh Party Logistics Using PROMETHEE Method." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 1933–35. http://dx.doi.org/10.21275/sr231127100103.

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Hendrik Koto, Muhammad, Wahyu Riansah, Jin Nakazato, Amr S. El-Wakeel, and Dario Tagliaferri. "Analysis Of Promethee Methods On Assistance Recipients Family Of Hope Program In Poor People." Journal of Information Systems and Technology Research 4, no. 1 (2025): 22–27. https://doi.org/10.55537/jistr.v4i01.1003.

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The Family of Hope Program (PKH) managed by the Ternate City Social Service is a critical social assistance initiative aimed at reducing poverty and improving the welfare of underprivileged families. However, the program's implementation is not optimal due to the lack of a systematic approach in the selection of beneficiaries. Currently, the process relies on manual home visits and subjective visual assessments, which are time-consuming and prone to inaccuracies. This research aims to develop a decision support system (DSS) that utilizes the Promethee method to enhance the objectivity and efficiency of the beneficiary selection process. The Promethee method was chosen for its ability to rank alternatives based on multiple criteria, making it suitable for handling complex decision-making scenarios. Four criteria—age, marital status, education, and disability—were used to evaluate and prioritize potential beneficiaries. This research involved data collection from the Ternate City Social Service, followed by system design and analysis using the Promethee approach. The findings indicate that the Promethee-based DSS provides a structured and transparent mechanism for evaluating candidates, enabling the Social Service to make more accurate and equitable decisions. This system significantly reduces the time required for the selection process while improving its reliability. The study concludes that integrating the Promethee method into the Family of Hope Program can address existing inefficiencies and support the Social Service in achieving its goal of targeted poverty alleviation

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Додорина, И. В. "Multi-criteria decision-making methods in assessing the location of the "logistics village"." Экономика и предпринимательство, no. 9(146) (January 22, 2023): 1042–44. http://dx.doi.org/10.34925/eip.2022.146.9.204.

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В статье рассматриваются многокритериальные методы принятия решений для определения подходящего расположения «логистической деревни», обеспечивающее рентабельность и производительность логистического сектора: Analytical Hierarchy Process (AHP), PROMETHEE и ВИКОР. The article discusses multi-criteria decision-making methods for determining the appropriate location of the "logistics village", ensuring the profitability and productivity of the logistics sector: Analytical Hierarchy Process (AHP), PROMETHEE and VICOR.

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EREN, Hande, and Emel GELMEZ. "Evaluation of Countries’ Competitiveness by Entropy-Based WASPAS and PROMETHEE Methods." MANAS Sosyal Araştırmalar Dergisi 12, no. 4 (2023): 1383–401. http://dx.doi.org/10.33206/mjss.1255873.

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Ülkelerin sürdürülebilir kalkınmaları, verimlilikleri, etkinlikleri ve performans göstergelerindeki artışlar rekabet edebilirliklerine bağlıdır. Bu yüzden ülkelerin rekabet edebilirlikleri ve mevcut durumlarının belirlenmesi önem arz etmektedir. Bu bağlamda bu çalışmanın temel amacı ülkelerin rekabet edebilirlik faktörlerinin WASPAS ve PROMETHEE yöntemleri kullanılarak değerlendirilmesidir. Çalışma kapsamında Yönetim Geliştirme Enstitüsü (International Institute of Management Development- IMD)’nün 2022 yılında yayımladığı Dünya Rekabet Edebilirlik Raporu’nda yer alan 63 ülke; ekonomik performans, kamu etkinliği, iş etkinliği ve altyapı olmak üzere 4 kritere göre sıralanmıştır. Ülkelerin rekabet edebilirliklerine göre sıralanmasında öncelikle kriterler Entropi yöntemi ile ağırlıklandırılmıştır. Hesaplanan ağırlıklar doğrultusunda 63 ülke WASPAS (Weighted Aggregates Sum Product Assessment) ve PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) yöntemlerine göre sıralanarak IMD Dünya Rekabet Edebilirlik Raporu (2022) ile karşılaştırılmıştır. Yapılan analiz sonuçlarına göre rekabet edebilirlik açısından IMD Dünya Rekabet Edebilirlik Raporu (2022), WASPAS, PROMETHEE olmak üzere her üç durumda da en iyi performansa sahip olan ülkenin Danimarka, en iyi ikinci performansı gösteren ülkenin İsveç, son sırada yer alan ülkenin ise Venezuela olduğu tespit edilmiştir.

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YAŞAR, Senanur, Zümra POYRAZ, Rabia YUMUŞAK, and Tamer EREN. "ANP ve PROMETHEE Yöntemleri ile Akıllı Şehir Analizi: Ankara’da Bir Uygulama." Gazi Journal of Engineering Sciences 8, no. 1 (2022): 15–28. http://dx.doi.org/10.30855/gmbd.2022.01.02.

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Preethi, G. A., and C. Chandrasekar. "Seamless Handoff using Electre III and Promethee Methods." International Journal of Computer Applications 126, no. 13 (2015): 32–38. http://dx.doi.org/10.5120/ijca2015906239.

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Podvezko, Valentinas, and Askoldas Podviezko. "DEPENDENCE OF MULTI‐CRITERIA EVALUATION RESULT ON CHOICE OF PREFERENCE FUNCTIONS AND THEIR PARAMETERS / DAUGIAKRITERINIŲ VERTINIMŲ REZULTATŲ PRIKLAUSOMYBĖ NUO PRIORITETŲ FUNKCIJŲ IR JŲ PARAMETRŲ PASIRINKIMO." Technological and Economic Development of Economy 16, no. 1 (2010): 143–58. http://dx.doi.org/10.3846/tede.2010.09.

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A considerable usage increase of multicriteria methods is recently observed in the area of quantitative analysis of social or economical phenomena. The PROMETHEE methods are discerned from other multi‐criteria methods by depth of their intrinsic logic and by using preference functions, which make up a foundation of the methods. Shapes of functions and their parameters are chosen by decision‐makers thus exerting clear advantages and features of the methods. This paper reveals influence of the choice of preference functions and their parameters on the outcome of evaluation. Along with already recently described by the authors PROMETHEE I method the other PROMETHEE II method is described and examples of its application are provided. New types of preference functions were proposed. Santrauka Pastaruoju metu socialinių ir ekonominių sudetingų reiškinių kiekybiniam lyginimui plačiai taikomi daugiakriteriniai metodai. PROMETHEE metodai skiriasi nuo kitu daugiakriterinių metodų savo ypatumu ir gilesne logika. Metodo pagrinda sudaro vadinamosios prioritetų funkcijos. Jų tipai pasirenkami ir ju parametrai nustatomi aktyviai dalyvaujant priimantiems sprendimą asmenims. Tai yra PROMETHEE metodu privalumas bei ypatumas. Darbe parodyta vertinimų rezultatų priklausomybė nuo prioritetų funkcijų ir jų parametrų reikšmių pasirinkimo. Kartu su autoriu anksčiau nagrinetų PROMETHEE I metodu šiame darbe aprašytas PROMETHEE II metodas, pateiktas jo taikymo pavyzdys ranguojant alternatyvas.

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RADOJKO, Lukic. "ANALYSIS OF TRADE EFFICIENCY IN SERBIA BASED ON THE PROMETHEE METHOD." BUSINESS EXCELLENCE AND MANAGEMENT 11, no. 4 (2021): 19–30. http://dx.doi.org/10.24818/beman/2021.11.4-02.

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Various methods of multi-criteria optimization have been developed and have recently been widely applied in trade. With this in mind, this paper investigates the efficiency of trade in Serbia based on the Promethee method. Using this method, in relation to the analysis of the analysis, we can more accurately assess the efficiency of trade in Serbia in the function of improvement in the future by taking appropriate more efficient measures. The results of research obtained using the Promethee method show that the efficiency of trade in Serbia has been continuously increasing recently. It was the best in 2020. It was positively influenced by numerous macro and micro factors, such as: favorable economic climate, low inflation, lower interest rates, foreign retail chains, increased employment, increased living standards, stable exchange rate, digitalization of the entire business, etc. The impact of the Covid-19 coronary virus pandemic on trade efficiency in Serbia is negligible. It is, among other things, largely neutralized with the increase in electronic sales. This is the case in other countries as well (as evidenced by the recently published available empirical data of Eurostat for European Union distribution trade). Empirical research shows that this is not, however, the case with other sectors in Serbia, such as transport and storage, tourism and catering, banks, etc. To increase (or maintain the existing) efficiency of trade in Serbia in the future, it is necessary to improve the efficiency of management of human resources, assets, capital, sales and profits. The main problem is that there are no similar empirical studies of trade efficiency in other countries, which limits international comparison. This paper can therefore serve as an impetus for future similar empirical research.

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Çalişkan, Emre, Erdem Aksakal, Saliha Çetinyokuş, and Tahsin Çetinyokuş. "Hybrid Use of Likert Scale-Based AHP and PROMETHEE Methods for Hazard Analysis and Consequence Modeling (HACM) Software Selection." International Journal of Information Technology & Decision Making 18, no. 05 (2019): 1689–715. http://dx.doi.org/10.1142/s0219622019500330.

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Being a decision-making process, software evaluation and selection is complicated, time-consuming, costly and also critical to the success of the project/work/organization. In this study, evaluation and selection of customized software which are used to identify the physical effect (explosion, fire and toxic emission) distances for industrial establishments containing, using or storing hazardous chemicals has been considered. These software are called the “Hazard Analysis and Consequence Modeling” (HACM) software in the literature. This study first prepared Likert scale-based questionnaires which were distributed to Environmental Health and Safety (EHS) professionals to obtain their opinions. Likert scale was used with Analytic Hierarchy Process (AHP) method in the processing of data obtained from questionnaires in order to get over the inconsistency problem of pairwise comparison matrices. The Likert scale-based AHP method was used to determine the weights of the criteria, and Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) method was used to obtain the final ranking. PROMETHEE method was preferred for having the opportunity of evaluating the binary “Yes–No” questions in the solution process. Finally, application results were given to illustrate the proposed method by using the PROMETHEE software “Visual PROMETHEE 1.4.0.0”.

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Taryono, Taryono, Udisubakti Ciptomulyono, and Buyung K. "THE ELECTION OF LOCATION NAVAL BASE BY THE APPROACH OF PROMETHEE METHODS." JOURNAL ASRO 9, no. 2 (2018): 33. http://dx.doi.org/10.37875/asro.v9i2.76.

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Naval Base plans to establish a naval base at the type of "C". Following this matter, the Regional Government of Islands District provides 3 (three) alternative places namely in NB1 Bay, NB2 Bay, and NB3 Bay for the location of dock and office. In the selection of Mentawai base this method using Borda and Promethee, this is used because the method can consider alternative evaluation based on factors that are qualitative and quantitative (Pavic, 1991). Based on the research of Borda method calculation on 16 base selection criteria, it is found that criteria (K1) of Sailing Flow has the highest weight value that is equal to 10.9% and for the lowest criteria weighted value is occupied by criterion (K14) that is Political Condition of 2%. For the results of ranking against the alternative using the Promethee method obtained NB2 Bay is the best location to serve as the location of the base of the Naval Base. From the research results can be concluded that the model of decision making by combining Borda and Promethee method is a way to develop the logical relationships that underlie the problem of decision making into a mathematical model that reflects the relationships that occur between the criteria involved.

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Ogrodnik, Karolina. "Application of MCDM/MCDA methods in city rankings - review and comparative analysis." Economics and Environment 86, no. 3 (2023): 132–51. http://dx.doi.org/10.34659/eis.2023.86.3.689.

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The priority objective of this study is to identify the most popular MCDM/MCDA methods typically used to create city rankings and to conduct a comparative analysis of the selected methods. In the first part, a literature review was prepared, on the basis of which it was established that the following methods were most commonly used to assess cities: TOPSIS, AHP and PROMETHEE. In addition, the above city rankings usually pertained to the subject of sustainable development and the concept of smart city. In the subsequent empirical part, a ranking of Polish cities was created using PROMETHEE and TOPSIS methods, which enabled a comparative analysis of these methods; especially in terms of the algorithm, data selection, as well as the possibility of integration with other methods.

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TEPELİ, Yusuf, and Hatice Hicret OZKOC. "An Evaluatıon of Alternative Methods For Financial Performance: Evıdence From Turkey (Istanbul Stock Exchange)." International Journal of Contemporary Economics and Administrative Sciences 10, no. 2 (2020): 356–77. https://doi.org/10.5281/zenodo.4429808.

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Abstract This study aims to determine which financial performance ranking methods accurately predict the actual rankings by using multiple criteria decision techniques, and it compares the accuracy of the rankings based on the financial performance indicators and the market based approach which involves market value and average return. Companies listed in BIST50 index (Borsa Istanbul) were investigated, as a result, when considering average return, Promethee and Copras produced similar and consistent rankings. Besides, since it places emphasize on the functional structures of variables, Promethee method was noted to produce the most accurate rankings, thus deemed most effective method helping investors give rational decisions

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Muhammad, Agung Setya Budi, Sugiharto Aris, and Surarso Bayu. "The Selection Model of Scholarship Recipients using a Combination of Best Worst Method, SMART and PROMETHEE." International Journal of Mathematics and Computer Research 13, no. 02 (2025): 4839–45. https://doi.org/10.5281/zenodo.14855103.

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This research aims to develop a model for selecting scholarship recipients using a combination of the Best Worst Method, SMART and PROMETHEE. The topic was chosen due to the importance of an objective and transparent selection process to improve access to higher education for underprivileged students. The Best Worst Method is used to determine criteria weights by comparing the best and worst criteria. SMART evaluates the utility value of alternatives based on the weights obtained from the Best Worst Method. PROMETHEE ranks the alternatives based on preference values calculated from SMART results. The results showed that this combination achieved an accuracy of 96,29%, precision of 96,67%, recall of 96,67%, and specificity of 96,67%. In the sensitivity analysis, based on 20 weight change experiments, resulted in an average value of 0,863, indicating the superiority of this method compared to others. These findings suggest that this combination is more robust to weight changes, making it more effective in maintaining consistency and objectivity during the selection process. Applying Best Worst Method, SMART and PROMETHEE enhances the quality of scholarship selection, ensuring fairness, objectivity and consistency in various decision-making situations.

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Akmaludin, Akmaludin, Adhi Dharma Suriyanto, Nandang Iriadi, and Kudiantoro Widianto. "Comparison of Smartphone Technology using AHP, ELECTRE, and PROMETHEE Methods." Sinkron 8, no. 2 (2024): 734–47. http://dx.doi.org/10.33395/sinkron.v8i2.13085.

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The progress of smartphone technology is now very rapid, supported by many renewable features, even many users are competing to get the latest products without regard to the costs that have been incurred. The problem that arises is that it is increasingly difficult to select technology-based products with many criteria. The purpose of writing this paper is to provide the best solution for selecting technology-based products with multi-criteria to suit user needs by taking into account the costs incurred effectively and the use of contradictory multi-criteria applications. The presence of technology products always has many criteria that make it more difficult for users to choose products as the right choice according to their needs, thus the right method is needed as a solution to obtain technology-based products such as smartphones. The Analytic Hierarchy Process (AHP) method is used for the evaluation and selection process. This AHP method will collaborate with the ELECTRE and PROMETHEE methods as a comparison solution for smartphone product selection. The resulting comparison will be an applied model for smartphone selection that produces the best decision-making support according to user needs. The results of the collaborative implementation process of the ELECTRE and PROMETHEE methods provide a decision on the rating system. The collaborative application of the AHP method to the ELECTRE and PROMETHEE methods provides optimal decision support for the selection process, so that this can be used as a comparison material in making decisions regarding the selection of smartphones as technology-based products.

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Yu, Soon-Yu, Ho-Sung An, Hyung-Joon Kim, and Kyoo-Hong Park. "Assessment of sewer system using PROMETHEE and GAIA methods." DESALINATION AND WATER TREATMENT 155 (2019): 24–31. http://dx.doi.org/10.5004/dwt.2019.23930.

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De Keyser, Wim, and Peter Peeters. "A note on the use of PROMETHEE multicriteria methods." European Journal of Operational Research 89, no. 3 (1996): 457–61. http://dx.doi.org/10.1016/0377-2217(94)00307-6.

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Ihsan, Muhammad Alif, Annisa Kesy Garside, and Rahmad Wisnu Wardana. "Integration of Analytic Network Process and PROMETHEE in Supplier Performance Evaluation." Jurnal Optimasi Sistem Industri 21, no. 1 (2022): 46–54. http://dx.doi.org/10.25077/josi.v21.n1.p46-54.2022.

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Supplier performance evaluation is one of the important factors in the supply chain because it is one of the company's strategies for increasing customer satisfaction and also maintaining the company's services in meeting consumer demand. This study proposes the integration of the Analytic Network Process (ANP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to evaluate supplier performance. The integration of the two methods is proposed to obtain more complex assessment results because the combination of the two methods considers various criteria derived from ANP and various preferences from PROMETHEE, so both methods are very good to use instead of using just ANP or PROMETHEE or other methods. ANP exhibit more complex relationships between criteria and levels in the decision hierarchy, while PROMETHEE provides decision-makers with flexible and straightforward outranking to analyze multi-criteria problems. In this study, ANP is used to weight the criteria, and PROMETHEE is used to rank suppliers in evaluating supplier performance. Integrating these two methods provides more objective and accurate results in multi-criteria decision-making. The proposed method is validated by solving an industrial case of supplier evaluation problem using the real data from the skewer industry. Finally, some useful implications for managerial decision-making are discussed.

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CHEN, HSIAO-CHI, and YI-CHUNG HU. "SINGLE-LAYER PERCEPTRON WITH NON-ADDITIVE PREFERENCE INDICES AND ITS APPLICATION TO BANKRUPTCY PREDICTION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19, no. 05 (2011): 843–61. http://dx.doi.org/10.1142/s021848851100726x.

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Preference Ranking Organization METHods for Enrichment Evaluations (PROMETHEE), based on outranking relation theory, are used extensively in Multi-Criteria Decision Aid (MCDA). In PROMETHEE, an overall preference index based on weighted average aggregation represents the intensity of preference for one pattern over another pattern and can be measured by a given preference function. Unfortunately, as the criteria making up the patterns are not always independent, the assumption of additivity among single-criterion preference indices may not be reasonable. This paper develops a novel PROMETHEE-based perceptron using nonadditive preference indices for ordinal sorting problems. The applicability of the proposed non-additive PROMETHEE-based single-layer perceptron (SLP) to bankruptcy prediction is examined by using a sample of 53 publicly traded, Taiwanese firms that encountered financial failure between 2000 and 2008. The proposed model performs well compared to PROMETHEE with additive preference indices and other additive PROMETHEE-based classification approaches.

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Spasic, Sladjana, and Violeta Tomasevic. "Classification and forecasting in students’ progress using multiple-criteria decision making, K-Nearest Neighbors, and Multilayer Perceptron methods." Computer Science and Information Systems, no. 00 (2025): 50. https://doi.org/10.2298/csis241022050s.

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The research paper addresses students? performance in higher education. It proposes using the MCDM method - Promethee II to assess students? knowledge and the K-Nearest Neighbors (KNN) and Multilayer Perceptron (MLP) methods for grade classification. The main goals are tracking and diagnosing students? knowledge levels, predicting their outcomes, and providing tailored recommendations. It helps to identify students at risk of not passing the course and evaluates teaching methods. This encourages student engagement and progress during the course. The research demonstrates the suitability of Promethee II, MLP, and KNN methods for effectively monitoring, classifying, and predicting students? progress during the semester, enhancing the objectivity of the assessment process.

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Dachowski, Ryszard, and Katarzyna Gałek. "Selection of the Best Method for Underpinning Foundations Using the PROMETHEE II Method." Sustainability 12, no. 13 (2020): 5373. http://dx.doi.org/10.3390/su12135373.

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This article proposes applying the preference-ranking organization method for enrichment of evaluations (PROMETHEE) II in the selection of the optimal solution and ranking of selected methods for underpinning foundations. Analysis of the selected foundation-underpinning methods was based on a complex decision-making problem that included aspects of the three pillars of sustainable development, and it was extended to include technological and constructional criteria. The study used the following criteria for assessing proposed variants: price, bearing capacity, noise and vibrations, necessary equipment, necessary excavations under final structure, failure rates, and necessary foundation shoring. Analysis using the PROMETHEE II method allowed for identifying strengths and weaknesses of selected methods for underpinning foundations. The PROMETHEE II method enabled to create a ranking of foundation-underpinning methods. Jet-grouting and root-pile methods were the highest scorers in this ranking and those that fulfilled the identified criteria to the greatest extent. Moreover, analysis showed that the PROMETHEE II method was useful in solving problems of choice in the construction industry.

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Marović, Ivan, Diana Car-Pušić, Martina Šopić, and Ksenija Tijanić. "Group decision-making in civil engineering based on AHP and PROMETHEE methods." Przegląd Naukowy Inżynieria i Kształtowanie Środowiska 29, no. 4 (2020): 474–84. http://dx.doi.org/10.22630/pniks.2020.29.4.41.

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The Analytical Hierarchy Process (AHP) and PROMETHEE have gained increasing attention in the field of construction management as techniques for the analysis of complex situations and as decision support for decision makers. However, these two methods in themselves or their potential applications to problems of construction management are not sufficiently defined in the existing literature. The environment of group decision-making bring even more challenges. This paper consolidates and critically discusses the current knowledge on the application of AHP and PROMETHEE methods in the light of the specifics of the construction industry. A systematic literature review was used to select the contributions indexed in the databases Scopus and Web of Science. The findings indicate that the studies deal with broad topics and different aspects in different phases of civil engineering projects. This paper provides a useful reference work for researchers and practitioners interested in the application of AHP and PROMEETHEE as tools for group decision-making in civil engineering.

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Zlaugotne, Beate, Lauma Zihare, Lauma Balode, Antra Kalnbalkite, Aset Khabdullin, and Dagnija Blumberga. "Multi-Criteria Decision Analysis Methods Comparison." Environmental and Climate Technologies 24, no. 1 (2020): 454–71. http://dx.doi.org/10.2478/rtuect-2020-0028.

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AbstractMulti-criteria decision analysis (MCDA) is widely used to solve various decision problems through alternative evaluation. MCDA methods can be used in every field that can define a problem, alternatives and criteria. However, finding the appropriate method can influence the results, in this research five MCDA methods have been tested on the renewable energy sector in Latvia to find the best alternative. The main results showed that TOPSIS, VIKOR and PROMETHEE-GAIA have similar priority selection and the highest ranking was selected for hydropower plant, but MULTIMOORA and COPRAS results were beneficial to Solar PV.

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Ben Amor, Sarah, and Bertrand Mareschal. "Integrating imperfection of information into the promethee multicriteria decision aid methods: a general framework." Foundations of Computing and Decision Sciences 37, no. 1 (2012): 9–23. http://dx.doi.org/10.2478/v10209-011-0002-0.

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Abstract.Multicriteria decision aid methods are used to analyze decision problems including a series of alternative decisions evaluated on several criteria. They most often assume that perfect information is available with respect to the evaluation of the alternative decisions. However, in practice, imprecision, uncertainty or indetermination are often present at least for some criteria. This is a limit of most multicriteria methods. In particular the PROMETHEE methods do not allow directly for taking into account this kind of imperfection of information. We show how a general framework can be adapted to PROMETHEE and can be used in order to integrate different imperfect information models such as a.o. probabilities, fuzzy logic or possibility theory. An important characteristic of the proposed approach is that it makes it possible to use different models for different criteria in the same decision problem.

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Verly, Céline, and Yves De Smet. "Some results about rank reversal instances in the PROMETHEE methods." International Journal of Multicriteria Decision Making 3, no. 4 (2013): 325. http://dx.doi.org/10.1504/ijmcdm.2013.056781.

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Kazan, Halim, Salih Özçelik, and Elif Haykir Hobikoğlu. "Election of Deputy Candidates for Nomination with AHP-Promethee Methods." Procedia - Social and Behavioral Sciences 195 (July 2015): 603–13. http://dx.doi.org/10.1016/j.sbspro.2015.06.141.

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Briggs, Th, P. L. Kunsch, and B. Mareschal. "Nuclear waste management: An application of the multicriteria PROMETHEE methods." European Journal of Operational Research 44, no. 1 (1990): 1–10. http://dx.doi.org/10.1016/0377-2217(90)90308-x.

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Zhao, Jianbin, Hua Zhu, and Hua Li. "2-Dimension linguistic PROMETHEE methods for multiple attribute decision making." Expert Systems with Applications 127 (August 2019): 97–108. http://dx.doi.org/10.1016/j.eswa.2019.02.034.

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El Beggar, Omar. "Multicriteria decision aid for agile methods evaluation using fuzzy PROMETHEE." Journal of Software: Evolution and Process 30, no. 12 (2018): e2108. http://dx.doi.org/10.1002/smr.2108.

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Bhandari, Sahadev Bahadur, and Dimitrios Nalmpantis. "Application of Various Multiple Criteria Analysis Methods for the Evaluation of Rural Road Projects." Open Transportation Journal 12, no. 1 (2018): 57–76. http://dx.doi.org/10.2174/1874447801812010057.

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Introduction:Ex-ante evaluation of rural road projects is important for proper utilisation of scarce financial resources. In recent years, several multiple criteria analysis methods have been applied for the evaluation of transportation projects.Methods:Here we compare three multi-criteria methods (i.e. TOPSIS, MOORA, and PROMETHEE) in ranking rural roads. The criteria and weightage were identified with an expert questionnaire survey and the decision matrix was obtained from a field survey of four rural roads of Nepal. These data demonstrate the successful application of various multi-criteria analysis methods for the evaluation of rural road projects with sustainable indicators.Results:The results of multi-criteria methods depend upon the value of performance measures, weightage, normalization, and aggregation procedures.Conclusion:We also concluded that the multi-criteria methods used (i.e. TOPSIS, MOORA, and PROMETHEE), in which weightage is derived using robust methods (e.g. AHP) and precise measurement of criteria of rural roads, in general return similar rankings.

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YILMAZ, Hakan, and Emre YAKUT. "Exploring The Impact of the COVID-19 Pandemic on The BIST Tourism Index Businesses Through Employing Critical-Based COPRAS and PROMETHEE Methods." Sosyoekonomi 31, no. 58 (2023): 249–76. http://dx.doi.org/10.17233/sosyoekonomi.2023.04.13.

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Çalışmada COVID-19’un, BİST Turizm Endeksi işletmelerinin 2018-2021 yılları finansal performanslarına etkisinin, CRITIC Tabanlı COPRAS ve PROMETHEE ile ölçülmesi amaçlanmıştır. COPRAS’ın performans ölçümünde elverişliliği ve Türkiye’de sektör üzerinde yapılan çalışmalarda PROMETHEE’nin kullanımına rastlanamaması nedeniyle çalışmada, ilgili analiz yöntemleri kullanılmıştır. Pandemi etkisinde işletmelerin sıralamaları, Sperman Korelasyon analiziyle ve değişkenlerin Wilcoxon İşaretli Sıralar testiyle istatistiksel açıdan anlamlılığı test edilmiştir. Çalışma sonucunda performans sıralamaları oluşturulmuş, COPRAS sonucunda en yüksek performanslı işletmelerin PKENT, MAALT ve ULAS olduğu ve en düşük performanslı işletmelerin MARTI ve TEKTU olduğu belirlenmiştir. PROMETHEE sonucunda en yüksek performanslı işletmenin MAALT olduğu, en düşük performanslı işletmelerin ise MARTI ve TEKTU olduğu anlaşılmıştır.

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Yougbaré, Jacob Wendpanga. "The Ranking of Districts in Ouagadougou by the Risk of Flood and Runoff Using the PROMETHEE." European Journal of Pure and Applied Mathematics 12, no. 4 (2019): 1731–43. http://dx.doi.org/10.29020/nybg.ejpam.v12i4.3562.

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PROMETHEE methods are used for analyzing the risk of flood runoff in urban areas of Ouagadougou in Burkina Faso. 12 criteria are considered to calculate preference indices of the districts. We generated, on one hand, weights associated to these criteria taking into account hypotheses relatively to the importance or to the impact of each criterion evaluating the risk of flood runoff and on the other hand, we used the PROMETHEE methods to analyze this decision’s problem with its diverse criteria. The PROMETHEE I and PROMETHEE II are used ranking the districts in relation with the degree of risk of flood runoff. This ranking is permitted by the calculated preference indices. Our aim is, on one hand showing to the potential decision-maker the importance of such a multi-criteria analysis and on the other hand, of verifying the coherence of the hypotheses with the obtained weights.

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R, Hema, and Sudharani R. "A Newly Proposed and Comparative Study on Multi - Criteria Decision Making in Interval Valued Bipolar Triangular Neutrosophic Set by PROMETHEE II." Indian Journal of Science and Technology 15, no. 35 (2022): 1745–53. https://doi.org/10.17485/IJST/v15i35.993.

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Abstract Objectives: To propose the operational laws and operators in interval valued bipolar triangular neutrosophic sets and also to resolve multi criteria decision making problem using PROMETHEE II. Methods: Based on the combination of bipolar neutrosophic sets and interval valued triangular neutrosophic sets, an interval valued bipolar triangular neutrosophic set is proposed followed by its operational laws, score function, accuracy and certainty function. Findings: The arithmetic operators, operational laws and also the score function, accuracy and certainty functions have been proposed for interval valued bipolar triangular neutrosophic sets. The PROMETHEE II technique discovered and employed an aggregated weighted arithmetic operator to address the multi-criterion decision-making problem. Novelty: By the concept of interval valued bipolar triangular neutrosophic set, the results can be viewed with more accuracy for the linguistic variables rather than the crisp values. An illustrative example has been explained for the interval valued bipolar triangular neutrosophic numbers by which the effectiveness is tested with the comparative approach by using PROMETHEE II method. Keywords : Interval valued neutrosophic numbers, Bipolar neutrosophic numbers, Interval valued bipolar triangular neutrosophic numbers, Score function, PROMETHEE II method.

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Hidayat, Sutikno Wahyu, I. Nengah Putra A, Ike Agustiyani, and Adi Bandono. "THE APPLICATION OF PROMETHEE AND BORDA METHODS FOR SELECTING BUSINESS LOCATION." JOURNAL ASRO 10, no. 2 (2019): 22. http://dx.doi.org/10.37875/asro.v10i2.126.

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The development of a franchise business requires the opening of new branches to be able to expand the wider market in the community. The selection of a franchise's new location is a very decisive factor in the success of the franchise in the future. With the new location allows to increase the range, market and number of consumers. The object of research in this case is a retail franchise. The PROMETHEE method is used to manage individual decisions of each decision maker, while the Borda method is used to manage group decisions on the results of the PROMETHEE method ranking. The use of these two methods is one solution to produce more objective group decisions. Alternative ranking of this location is in accordance with the rules and policies and procedures for opening a new branch of a retail franchise. The variables in this study are facilities and infrastructure, crime, per capita income, economic growth, population and the number of retail franchises around the alternative location for opening the retail franchise branch. The results obtained from this study are location E or Endrosono area as the best alternative location.

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Hasibuan, Sawarni, and Choesnul Jaqin. "Seleksi dan Penentuan Third Party Logistik Transportasi Produk Pelumas Menggunakan Metode TOPSIS dan PROMETHE." Operations Excellence: Journal of Applied Industrial Engineering 14, no. 3 (2022): 235. http://dx.doi.org/10.22441/oe.2022.v14.i3.058.

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Selection of Third Party Logistics (3PL) services is an important focus of attention for companies in selecting suppliers in their supply chain. The wide marketing area of PT PETRONAS's lubricant products demands 3PL performance to increase the company's service level. The purpose of this study is to analyze the decision-making process in the context of selecting 3PL transportation suppliers using the TOPSIS and PROMETHE multi-criteria methods. The type of data used consists of primary data and secondary data through library research, interviews, and field surveys. The process of selecting a transportation 3PL is carried out in two stages, namely selection of criteria and the commercial aspect of the bidding price per region is evaluated as the basis for selecting the best supplier. The selected suppliers are PT Wira Logitama Saksama, PT Glory sogotrans Mandiri, PT Iron Bird Logistik, PT Sumisho Global Logistik, and PT Dunia Express Transindo. Based on the results of the analysis using the PROMETHEE method, five criteria with the highest weight were produced, namely Price, Time Delivery, Health Safety Management, Infrastructure and Office Equipment. The results of the ranking using the TOPSIS method for shipping to each destination are that PT Wira Logitama Semesta is the best supplier for five shipping destinations, namely Jabodetabek, Bandung, Surabaya, Lampung and Medan and PT Iron Bird Logistik is the best supplier for shipping to Cilegon and Semarang.

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Frikha, Hela Moalla, and Ahmed Frikha. "A PROMETHEE II-BELIEFapproach for multi-criteria decision-making problems with incomplete information." Multiple Criteria Decision Making 16 (2021): 60–88. http://dx.doi.org/10.22367/mcdm.2021.16.04.

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Multi-criteria decision aid methods consider decision problems in which many alternatives are evaluated on several criteria. These methods are used to deal with perfect information. However, in practice, it is obvious that this information requirement is too strict. In fact, the imperfect data provided by more or less reliable decision makers usually affect decision results, since any decision is closely linked to the quality and availability of information. In this paper, a PROMETHEE II-BELIEF approach is proposed to help multi-criteria decisions based on incomplete information. This approach solves problems with incomplete decision matrix and unknown weights within PROMETHEE II method. On the basis of belief function theory, our approach first determines the distributions of belief masses based on PROMETHEE II’s net flows, and then calculates weights. Subsequently, it aggregates the distribution masses associated with each criterion using Murphy’s modified combination rule in order to infer a global belief structure. The final alternative ranking is obtained via pignistic probability transformation. A case study of a real-world application concerning the location of a treatment center of waste from healthcare activities with infectious risk in the center of Tunisia is studied to illustrate the detailed process of the PROMETHEE II-BELIEF approach. Keywords: multiple criteria aid, incomplete information, PROMETHEE II method, belief function theory.

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Abonyi, János, Tímea Czvetkó, Zsolt T. Kosztyán, and Károly Héberger. "Factor analysis, sparse PCA, and Sum of Ranking Differences-based improvements of the Promethee-GAIA multicriteria decision support technique." PLOS ONE 17, no. 2 (2022): e0264277. http://dx.doi.org/10.1371/journal.pone.0264277.

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The Promethee-GAIA method is a multicriteria decision support technique that defines the aggregated ranks of multiple criteria and visualizes them based on Principal Component Analysis (PCA). In the case of numerous criteria, the PCA biplot-based visualization do not perceive how a criterion influences the decision problem. The central question is how the Promethee-GAIA-based decision-making process can be improved to gain more interpretable results that reveal more characteristic inner relationships between the criteria. To improve the Promethee-GAIA method, we suggest three techniques that eliminate redundant criteria as well as clearly outline, which criterion belongs to which factor and explore the similarities between criteria. These methods are the following: A) Principal factoring with rotation and communality analysis (P-PFA), B) the integration of Sparse PCA into the Promethee II method (P-sPCA), and C) the Sum of Ranking Differences method (P-SRD). The suggested methods are presented through an I4.0+ dataset that measures the Industry 4.0 readiness of NUTS 2-classified regions. The proposed methods are useful tools for handling multicriteria ranking problems, if the number of criteria is numerous.

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Baydaş, Mahmut, and Dragan Pamučar. "Determining Objective Characteristics of MCDM Methods under Uncertainty: An Exploration Study with Financial Data." Mathematics 10, no. 7 (2022): 1115. http://dx.doi.org/10.3390/math10071115.

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A major difficulty in comparing and even choosing MCDM methods is the uncertainty of information about the consistent and unique characteristics of the results produced. The objective information content of the final scores produced by MCDM methods and their relevance to real life can give us an important idea about them. In this study, first of all, seven MCDM methods with different methodologies were applied to evaluate companies’ financial performance. Then, the obtained MCDM scores were compared using two different objective verification mechanisms. The first validation criterion is the relationship of a MCDM method to real-life rankings (share price). The second criterion is the standard deviation (SD) technique used to discover the objective information content of MCDM final scores. According to the results of this study, PROMETHEE and FUCA definitely outperform other methods in terms of both SD values and strength of correlation with reference real-life rankings. Also, FUCA is methodologically simpler than other methods. However, it produced nearly identical results as the sophisticated PROMETHEE method.

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Tian, Chao, Juan-juan Peng, Wen-yu Zhang, Shuai Zhang, and Jian-qiang Wang. "TOURISM ENVIRONMENTAL IMPACT ASSESSMENT BASED ON IMPROVED AHP AND PICTURE FUZZY PROMETHEE II METHODS." Technological and Economic Development of Economy 26, no. 2 (2019): 355–78. http://dx.doi.org/10.3846/tede.2019.11413.

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With the increasing awareness of environmental protection, the environmental impact assessment (EIA) of tourism attraction problems has attracted extensive attention from all over the world. The purpose of this study is to develop an integrated decision-making method for EIA of tourism attractions in China by using the improved analytic hierarchy process (AHP) method and the extended picture fuzzy preference ranking organization method for enrichment evaluations (PROMETHEE) II method. Herein, picture fuzzy numbers (PFNs) are used to describe decisionmakers’ preference, which can precisely express uncertain and hesitant information in the decisionmaking process. Then the improved AHP method based on expert mean assessment is used to obtain the weights of EIA of tourism attractions, which can reduce the spiteful assessment in the traditional AHP method. Based on the results of the improved AHP method, the picture fuzzy PROMETHEE II method, which can consider the psychological behavior of decision-makers, is applied to assess candidate tourism attractions. Finally, an example of EIA of tourism attractions in China is provided to verify the effectiveness of the developed approach and the credibility of the results.

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POLAT, Gul. "SUBCONTRACTOR SELECTION USING THE INTEGRATION OF THE AHP AND PROMRTHEE METHODS." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 22, no. 8 (2015): 1042–54. http://dx.doi.org/10.3846/13923730.2014.948910.

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On many construction projects, especially building projects, 80–90% of the tasks are performed by subcontractors. Since the success of the project highly depends on the performances of the subcontractors, selecting the right subcontractor for the right job is critical. Main contractors generally tend to select the subcontractors that offer the lowest bid price. However, working with unqualified and insufficiently financed subcontractors may result in inefficiencies and failures. Thus, a combination of several compromising and conflicting criteria underpinning financial capacity and competencies of the subcontractors should be considered during the subcontractor selection process. This paper proposes an integrated decision approach, which employs analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluations (PROMETHEE) together, for the subcontractor selection problem. In the proposed approach, AHP is used to analyze the structure of the subcontractor selection problem and to determine the weights of the criteria, and PROMETHEE is employed to obtain complete ranking and perform sensitivity analysis by changing the weights of criteria. The proposed approach is applied to a problem of selecting the most appropriate subcontractor to be worked with in an international construction project. Company management found the proposed decision approach satisfactory and implementable in future subcontractor selection problems.

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J, Cvetkovic. "Use of the Multicriteria Decision Making Method in Establishing the Consequences of Breast Cancer Treatment." Virology & Immunology Journal 7, no. 3 (2023): 1–8. http://dx.doi.org/10.23880/vij-16000316.

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Objective: We present in this paper the results of multicriteria ranking of risk factors for depression, anxiety and stress in women with breast cancer. Method: The PROMETHEE/GAIA method was used for ranking purposes, with additional optimization of alternatives using the PROMETHEE method with inherent limitations. Results: Almost 50% of women with early breast cancer experienced depression, anxiety or both in the period of one year after the diagnosis; 25% in the second, third and fourth year; and 15% in the fifth year. Long-term depression and anxiety were associated with prior psychological treatment, absence of an intimate, confident relationship, younger age and severely stressful (non-cancer) events in life. A lack of intimate support in confidence also predicted prolonged episodes of depression and anxiety. Conclusion: Increased levels of depression, anxiety or both in the first year after the diagnosis of early breast cancer indicate the need for special support services during that period. Psychological intervention for women with breast cancer who no longer have the disease should take into account a broader social context of cancer occurrence, with a focus on the improvement of social support.

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Della Spina, Lucia, and Cristina Lanteri. "A Collaborative Multi-Criteria Decision-Making Framework for the Adaptive Reuse Design of Disused Railways." Land 13, no. 6 (2024): 851. http://dx.doi.org/10.3390/land13060851.

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With an increasing focus on sustainable development and the reuse of disused infrastructure, there is a pressing need for effective decision-making methods. This study explored the use of the PROMETHEE method within a collaborative decision-making framework to assess the adaptive reuse options for a disused railway in Sicily, Italy. Using a participatory paradigm, the research actively involves stakeholders in the assessment process. The collaborative PROMETHEE approach acts as a tool for multi-criteria decision analysis, facilitating the comparison and prioritization of different reuse alternatives based on predefined criteria. The research highlights the effectiveness of PROMETHEE in streamlining decision-making processes for adaptive reuse efforts, particularly in the context of integrated conversions of abandoned railways. By combining multi-criteria decision analysis with collaborative methods, the study contributed to the formulation of sustainable and socially responsible strategies for the valorization of disused railway infrastructure. The results underline the importance of collaborative decision-making processes and the instrumental role of PROMETHEE in assisting stakeholders in evaluating and selecting adaptive reuse options for disused railways, thereby, in turn, promoting the sustainable development of these sites.

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Ayu Rosmala, Ayu Rosmala, Muchlis Abdul Muthalib Muchlis Abdul Muthalib, and Rizki Suwanda Rizki Suwanda. "Analysis of the Application the Promethee Method in Determining Work Partners at the Central Statistics Agency of Central Aceh Regency." Jurnal Inotera 9, no. 2 (2024): 437–43. http://dx.doi.org/10.31572/inotera.vol9.iss2.2024.id369.

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The selection of partners at the Central Statistics Agency of Central Aceh Regency faces challenges because manual selection methods are considered inefficient and inaccurate. Therefore, this study aims to improve the accuracy and efficiency of the selection process by applying the Promethee (Preference Ranking Organization Method for Enrichment Evaluations) method. This method is used as a multi-criteria decision-making technique and is implemented using the Python programming language for automatic and real-time data processing. The data used comes from the 2024 partner recruitment process at the Central Statistics Agency of Central Aceh Regency, consisting of candidates who have met the administrative requirements. The validity of the promethee method is tested through the calculation of an error percentage that reaches 10%, demonstrating the method's ability to filter partners according to the established criteria. In conclusion, the application of the promethee method has been proven to improve the efficiency and accuracy of the partner selection process, where the Python-based system developed can reduce the time and effort required in decision-making while producing more valid and reliable partner recommendations.

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Ozsahin, I., B. Uzun, and D. U. Ozsahin. "Selection of photodetectors in nuclear medical imaging using MCDM methods." Journal of Instrumentation 17, no. 06 (2022): C06003. http://dx.doi.org/10.1088/1748-0221/17/06/c06003.

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Abstract Photodetectors used in nuclear medical imaging such as single photon emission computed tomography (SPECT) and positron emission tomography (PET) are an important element of radiation detection systems. Selecting the photodetector depends on many physical criteria including quantum efficiency (QE) and gain. The aim of this study is to apply multi-criteria decision-making (MCDM) methods to determine the optimum photodetector based on the evaluation and comparison of complex and multiple criteria. The photodetectors investigated in this study are photomultiplier tube (PMT), avalanche photodiode (APD) and silicon photomultiplier (SiPM). The bias voltage, gain, rise time, and QE were selected since they are considered as the key criteria for the photodetectors. Then, the corresponding values of each criteria were defined and preferred weights were assigned to each criteria based on the desired outcome. The fuzzy preference ranking organization method for enrichment of evaluations (PROMETHEE) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) methods were used to evaluate the alternatives. The results showed that conventional PMT came first in the ranking, followed by SiPM, while APD was the least desirable photodetector according to the fuzzy PROMETHEE and fuzzy TOPSIS methods based on the selected criteria and assigned weights. MCDM methods were used to select photodetectors used in PET and SPECT systems. One can incorporate as many alternatives and criteria as needed and assign the weights accordingly.

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Vagiona, Dimitra G. "Comparative Multicriteria Analysis Methods for Ranking Sites for Solar Farm Deployment: A Case Study in Greece." Energies 14, no. 24 (2021): 8371. http://dx.doi.org/10.3390/en14248371.

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This study investigated the prioritization and ranking problem of the appropriate locations at which to deploy solar photovoltaic (PV) farms. Although different Multicriteria Decision Making (MCDM) methods can be found in the literature to address this problem, a comparative analysis of those methods is missing. The aim of this study is to compare four different MCDM approaches to evaluate and rank suitable areas for the deployment of solar PV farms, with the island of Rhodes (Greece) being used as an example. Feasible areas for the location of such facilities were identified with the use of Geographical Information Systems (GIS), by applying certain exclusion criteria found either in the national legislative framework or in the international literature. Data were obtained from Greek open geospatial data. The feasible sites were evaluated and ranked using four different MCDM methods: the Analytical Hierarchy Process (AHP), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje), and the PROMETHEE II (Preference Ranking Organization METHod for Enrichment of Evaluations) method. The best alternative rated according to three TOPSIS, VIKOR and PROMETHEE is site (S2). The second-best alternative in the above three methods is site (S1), while the worst is site (S3). The best alternative rated according to AHP (S4) is in sixth position according to TOPSIS and in fifth position VIKOR and PROMETHEE. The comparison demonstrated that different MCDM techniques may generate different ranks. The simultaneous use of several MCDM methods in energy siting problems is considered advantageous as it can help decision makers to select the most sustainable sites, avoiding the disadvantages and availing the advantages of each method.

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Elevli, Birol. "LOGISTICS FREIGHT CENTER LOCATIONS DECISION BY USING FUZZY-PROMETHEE." TRANSPORT 29, no. 4 (2014): 412–18. http://dx.doi.org/10.3846/16484142.2014.983966.

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Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (F-PROMETHEE) was applied for choosing among potential logistics center locations. The method combines the concept of fuzzy sets to represent uncertain information with the PROMETHEE, a subgroup of Multi-Criteria Decision-Making (MCDM) methods. Criteria are identified based on review of scientific and trade literature and inputs received from experts. The suitability of areas have been evaluated on the basis of these criteria. There are substantial uncertainties and subjectivity about site information. Therefore F-PROMETHEE method is preferred. The case study shows that this application provides reasonable results.

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