Academic literature on the topic 'Multi Criteria Decision Making'

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Journal articles on the topic "Multi Criteria Decision Making"

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S.PUSHPARANI, S. PUSHPARANI, and Dr S. SENTHAMILKUMAR Dr.S.SENTHAMILKUMAR. "Selection of Contractor Using Multi-Criteria Decision Making Tools." Indian Journal of Applied Research 4, no. 4 (October 1, 2011): 139–42. http://dx.doi.org/10.15373/2249555x/apr2014/259.

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Kusumadewi, Sri, and Idham Guswaludin. "Fuzzy Multi-Criteria Decision Making." Media Informatika 3, no. 1 (June 7, 2005): 25–38. http://dx.doi.org/10.20885/informatika.vol3.iss1.art3.

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Grierson, Donald E. "Pareto multi-criteria decision making." Advanced Engineering Informatics 22, no. 3 (July 2008): 371–84. http://dx.doi.org/10.1016/j.aei.2008.03.001.

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Kornbluth, J. S. H. "Dynamic multi-criteria decision making." Journal of Multi-Criteria Decision Analysis 1, no. 2 (October 1992): 81–92. http://dx.doi.org/10.1002/mcda.4020010204.

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Abdulla, Mohammed Shahid. "Multi-criteria decision making with overlapping criteria." IIMB Management Review 24, no. 3 (September 2012): 137–42. http://dx.doi.org/10.1016/j.iimb.2012.06.002.

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Abdulla, Mohammed Shahid. "Multi-criteria decision making with overlapping criteria." IIMB Management Review 24, no. 3 (September 2012): 120. http://dx.doi.org/10.1016/j.iimb.2012.07.013.

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Azadfallah, Mohammad. "Multi-Criteria Decision Making for Ranking Decision Making Units." International Journal of Productivity Management and Assessment Technologies 6, no. 1 (January 2018): 17–36. http://dx.doi.org/10.4018/ijpmat.2018010102.

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There is no doubt the Data Envelopment Analysis (DEA) is a powerful method for the efficiency evaluation of Decision Making Units (DMUs) with multiple inputs and outputs. Despite its usefulness, DEA has some notable limitations. A significant drawback with this approach is that inability to fully rank the DMUs. In the extant literature, different methods for this purpose have been suggested. While, in the traditional method the first step for the DEA approach is used, and results of this step are input for the DEA ranking method in the second step. To reduce the computational complexity of the traditional method, a new Multiple Criteria Decision Making (MCDM) approach is proposed in this article. In the proposed approaches, one step can achieve full ranking for all DMUs. The results show that although out of 20 DMUs are first in the final ranking ordered by the DEA, the author proposed methods can consider full ranking. Agreement of the proposed methods with the existing approaches are measured by the Spearman's rank correlation coefficient technique. The findings of this study reveal that TOPSIS, Neo-TOPSIS, and AHP ranking results are consistent with the DEA ranking method. Therefore, these proposed methods appear as the possible alternatives to the DEA and DEA ranking models.
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Jaini, Nor I., and Sergei V. Utyuzhnikov. "Critical Criterion Analysis for Multi-criteria Decision Making." International Journal of Applied Physics and Mathematics 6, no. 3 (2016): 129–37. http://dx.doi.org/10.17706/ijapm.2016.6.3.129-137.

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Intani, Dini. "Multi Criteria Decision Making for Integrated Assessment of Indonesian Water Company." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 1050–60. http://dx.doi.org/10.5373/jardcs/v12sp7/20202202.

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YU, Xiaohan, Zeshui XU, and Shousheng LIU. "SYSTEMATIC DECISION MAKING: A EXTENDED MULTI-CRITERIA DECISION MAKING MODEL." Technological and Economic Development of Economy 23, no. 1 (January 22, 2017): 157–77. http://dx.doi.org/10.3846/20294913.2016.1212121.

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Considering some complex multi-criteria decision making (MCDM) problems, in which decision environment is dynamic, there are various interdependences among criteria, and plans (systematized alternatives) consisting of multiple time sequential interdependent actions, cannot be well handled by means of the existing MCDM methods, therefore, we develop a systematic decision making (SDM) as an improvement and supplement of the classic MCDM in this paper. The SDM is for prescribing methods of evaluating and selecting the most favourite plan (a system) from a group of feasible ones concerning influences of time-varying criteria system under dynamic external environment. Through detailed analysis, we separate a SDM problem into multi-period MCDM subproblems, and then a plan can be a combination of time sequential strategies in which each strategy (a subset of actions) is a feasible decision choice of corresponding MCDM sub-problem. After clarifying variety of interdependences, interactions and interrelationships in the SDM problems, such as criteria-interdependences, action-interdependences, interactions between criteria and criteria system, interactions between actions and strategies, interactions between strategies and plans, interactions between internal environment (criteria system) and external environment, feedbacks from external environment to the corresponding MCDM sub-problems, and interrelationships among MCDM sub-problems and so on, we transform the SDM into multi-period interrelated MCDM model which can be dealt with more easily by using multiple optimization models. At the end of the paper, three typical properties of the SDM are proposed and most of the existing MCDM models are pointed out as special cases of the SDM.
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Dissertations / Theses on the topic "Multi Criteria Decision Making"

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Iezzi, Jana. "Multi-criteria decision making in outpatient scheduling." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001817.

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Butler, John Christopher. "Simulation analysis of multi-criteria decision models /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Bozkurt, Ahmet. "Multi-criteria Decision Making With Interdependent Criteria Using Prospect Theory." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608408/index.pdf.

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In this study, an integrated solution methodology for a general discrete multi-criteria decision making problem is developed based on the well-known outranking method Promethee II. While the methodology handles the existence of interdependency between the criteria, it can also incorporate the prospect theory in order to correctly reflect the decision behavior of the decision maker. A software is also developed for the application of the methodology and some applications are performed and presented.
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Hodgett, Richard Edgar. "Multi-criteria decision-making in whole process design." Thesis, University of Newcastle Upon Tyne, 2013. http://hdl.handle.net/10443/1838.

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In recent years, the chemical and pharmaceutical industries have faced increased development times and costs with fewer novel chemicals being discovered. This has resulted in many companies focusing on innovative research and development as they consider this key to business success. In particular, a number of leading industrial organisations have adopted the principles of Whole Process Design (WPD). WPD considers the optimisation of the entire product development process, from raw materials to end product, rather than focusing on each individual unit operation. The complexity involved in the implementation of WPD requires rationalised decision-making, often with limited or uncertain information. This thesis assesses the most widely applied methods in Multi-Criteria Decision Analysis (MCDA) in conjunction with the results of two interviews and two questionnaires that identified the industrial requirements for decision-making during WPD. From the findings of this work, a novel decision-making methodology was proposed, the outcome of which allows a decision-maker to visually interpret their decision results with associated levels of uncertainty. To validate the proposed methodology, a software framework was developed that incorporates two other decision-making approaches, the Analytical Hierarchy Process (AHP) and ELimination Et Choix Traduisant la REalité trois (ELECTRE III). The framework was then applied to a number of industrial case studies to validate the application of the proposed methodology.
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Jaini, Nor. "An efficient ranking analysis in multi-criteria decision making." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/an-efficient-ranking-analysis-in-multicriteria-decision-making(c5a694d5-fd43-434f-9f9f-b86f7581b97c).html.

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This study is conducted with the aims to develop a new ranking method for multi-criteria decision making problem with conflicting criteria. Such a problem has a set of Pareto solutions, where the act of improving a value of one solution will result in depreciating some of the others. Thus, in this type of problem, there is no unique solution. However, out of many available options, the Decision Maker eventually has to choose only one solution. With this problem as the motivation, the current study develops a compromise ranking algorithm, namely a trade-off ranking method. The trade-off ranking method able to give a trade-off solution with the least compromise compared to other choices as the best solution. The properties of the algorithm are studied in the thesis on several test cases. The proposed method is compared against several multi-criteria decision making methods with ranking based on the distance measure, which are the TOPSIS, relative distance and VIKOR. The sensitivity analysis and uncertainty test are carried out to examine the methods robustness. A critical criteria analysis is also done to test for the most critical criterion in a multi-criteria problem. The decision making method is considered further in a fuzzy environment problem where the fuzzy trade-off ranking is developed and compared against existing fuzzy decision making methods.
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Vavrek, R. "Use of selected methods multi-criteria decision." Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/34561.

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The purpose of multi-criteria decision models is to help decision maker to evaluate each alternative and to rank them in descending order of performance. This study analyses the base of concept of Multiple Attribute Decision Making for using in different areas. The aim of this paper is to describe the concept of multiple attribute decision making. Achieving this purpose, TOPSIS technique is used as decision making tools. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/34561
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Siraj, Sajid. "Preference elicitation from pairwise comparisons in multi-criteria decision making." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/preference-elicitation-from-pairwise-comparisons-in-multicriteria-decision-making(bf9c4efe-28b3-4e5b-807d-76df5b858aa5).html.

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Decision making is an essential activity for humans and often becomes complex in the presence of uncertainty or insufficient knowledge. This research aims at estimating preferences using pairwise comparisons. A decision maker uses pairwise comparison when he/she is unable to directly assign criteria weights or scores to the available options. The judgments provided in pairwise comparisons may not always be consistent for several reasons. Experimentation has been used to obtain statistical evidence related to the widely-used consistency measures. The results highlight the need to propose new consistency measures. Two new consistency measures - termed congruence and dissonance - are proposed to aid the decision maker in the process of elicitation. Inconsistencies in pairwise comparisons are of two types i.e. cardinal and ordinal. It is shown that both cardinal and ordinal consistency can be improved with the help of these two measures. A heuristic method is then devised to detect and remove intransitive judgments. The results suggest that the devised method is feasible for improving ordinal consistency and is computationally more efficient than the optimization-based methods. There exist situations when revision of judgments is not allowed and prioritization is required without attempting to remove inconsistency. A new prioritization method has been proposed using the graph-theoretic approach. Although the performance of the proposed prioritization method was found to be comparable to other approaches, it has practical limitation in terms of computation time. As a consequence, the problem of prioritization is explored as an optimization problem. A new method based on multi-objective optimization is formulated that offers multiple non-dominated solutions and outperforms all other relevant methods for inconsistent set of judgments. A priority estimation tool (PriEsT) has been developed that implements the proposed consistency measures and prioritization methods. In order to show the benefits of PriEsT, a case study involving Telecom infrastructure selection is presented.
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Andresen, Inger. "A Multi-Criteria Decision-Making Method for Solar Building Design." Doctoral thesis, Norwegian University of Science and Technology, Faculty of Architecture and Fine Art, 2000. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-451.

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The background for this thesis is based on the assumption that the success of solar buildings relies on the assessment and integration of all the different design objectives, called criteria. These criteria are often quite complicated to deal with (e.g. environmental loading) and may be conflicting. The different design issues and the many different available energy technologies call for different areas of expertise to be involved in the design of solar buildings. This makes it difficult to evaluate the overall “goodness” of a proposed design solution. Also, the communication between design professionals and the client becomes complicated.

The goal of this work was therefore to produce a means for the design team and clients to be able to better understand and handle holistic solar design. A first hypothesis was that a structured approach for evaluating design alternatives might be a means to this end.

In order to specify an approach that would fit into the building design process, an analysis of design process theory and building design practice was carried out (chapter 2). Also, special solar design issues were investigated. This analysis resulted in the following conclusions:

· Most building design processes start out with no clearly defined goals or criteria of success. The design criteria are refined and discovered through evaluation and feedback on alternative design proposals.

· Design involves a lot of subjective value judgements, and decisions are often based on experience, “gut feeling”, or intuition. Design options are evaluated based on quantitative and qualitative performance measures. There exists no objective optimal design solution.

· It is possible to identify some main activities that are common to most design processes. These are categorized into 4 main tasks: problem formulation, generation of alternatives, performance prediction and evaluation. The activities are very much overlapping and dependent on each other.

· Decision-making in design happens mainly through evaluation of proposed design solutions.

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Marto, Marco Henrique Vieira. "Innovating forest ecosystems with advanced multi-criteria decision-making methods." Doctoral thesis, ISA, 2020. http://hdl.handle.net/10400.5/21204.

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Doutoramento em Engenharia Florestal e dos Recursos Naturais - Instituto Superior de Agronomia. Universidade de Lisboa
This work focuses on innovating forest ecosystem management planning and on enhancing its contribution to the provision of ecosystem services. A web-based forest decision support system was developed to support public and private forest managers, involving operational research methods. First, all work related to database management and the integration of data was carried out. Databases were created with PostgreSQL, which on the one hand facilitated the development of multi-criteria linear programs, and on the other met all the data and information needs of a forest decision support system, not only for data processing and information presentation, but also as a source to be consulted and analyzed by forest decision makers. The wSADfLOR, a forest web-based decision support system, integrates one analytic tool to visualize interactive decision maps showing the decision space and trade-offs among the criteria in Pareto frontiers, according to forest users’ management options. Taking advantage of constant improvements in the Interactive Decision Maps tool in wSADfLOR, a second article was developed regarding a web-based approach to show interactive decision maps with Pareto frontiers. Based on these interactive decision maps and jointly with some decision support systems available in the EMDS platform (Criterion DecisionPlus and NetWeaver), a hybrid decision methodology for cases in which there is no consensus among the solutions chosen by different (groups of) forest decision makers was developed, enabling them to choose a unique strategic decision plan
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Zhou, Y. (Yong). "Multi-Criteria Decision Making in software development:a systematic literature review." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201508271929.

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Multiple Criteria Decision Making is a formal approach to assist decision makers to select the best solutions among multiple alternatives by assessing criteria which are relatively precise but generally conflicting. The utilization of MCDM are quite popular and common in software development process. In this study, a systematic literature review which includes creating review protocol, selecting primary study, making classification schema, extracting data and other relevant steps was conducted. The objective of this study are making a summary about the state-of-the-art of MCDM in software development process and identifying the MCDM methods and MCDM problems in software development by systematically structuring and analyzing the literature on those issues. A total of 56 primary studies were identified after the review, and 33 types of MCDM methods were extracted from those primary studies. Among them, AHP was defined as the most frequent used MCDM methods in software development process by ranking the number of primary studies which applied it in their studies, and Pareto optimization was ranked in the second place. Meanwhile, 33 types of software development problems were identified. Components selection, design concepts selection and performance evaluation became the three most frequent occurred problems which need to be resolved by MCDM methods. Most of those MCDM problems were found in software design phase. There were many limitations to affect the quality of this study; however, the strictly-followed procedures of SLR and mass data from thousands of literature can still ensure the validity of this study, and this study is also able to provide the references when decision makers want to select the appropriate technique to cope with the MCDM problems.
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Books on the topic "Multi Criteria Decision Making"

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Thakkar, Jitesh J. Multi-Criteria Decision Making. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8.

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D, Lawrence Kenneth, Reeves Gary R, and Klimberg Ronald K, eds. Multi-criteria applications. Amsterdam: JAI, 2000.

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Kahraman, Cengiz, ed. Fuzzy Multi-Criteria Decision Making. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-76813-7.

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Brugha, Cathal M. Differentiating attributes of decision alternatives from criteria of decision makers in multi criteria decision making (MCDM). Dublin: University College Dublin, Dept of Management Information Systems, 1997.

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Lootsma, Freerk A. Multi-criteria decision analysis via ratio and difference judgement. Dordrecht: Kluwer Academic, 1999.

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Munier, Nolberto, Eloy Hontoria, and Fernando Jiménez-Sáez. Strategic Approach in Multi-Criteria Decision Making. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02726-1.

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Munier, Nolberto. Strategic Approach in Multi-Criteria Decision Making. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-44453-1.

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Triantaphyllou, Evangelos. Multi-criteria Decision Making Methods: A Comparative Study. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3157-6.

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Kahraman, Cengiz, and İrem Otay, eds. Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00045-5.

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Massam, Bryan H. Multi-criteria decision making (MCDM) techniques in planning. Oxford: Pergamon, 1988.

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Book chapters on the topic "Multi Criteria Decision Making"

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Coello Coello, Carlos A., David A. Van Veldhuizen, and Gary B. Lamont. "Multi-Criteria Decision Making." In Genetic Algorithms and Evolutionary Computation, 321–47. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-5184-0_8.

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Majumder, Mrinmoy. "Multi Criteria Decision Making." In Impact of Urbanization on Water Shortage in Face of Climatic Aberrations, 35–47. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-4560-73-3_2.

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Shekhar, Shashi, and Hui Xiong. "Decision‐Making, Multi-Criteria." In Encyclopedia of GIS, 235. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_273.

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Majumder, Mrinmoy, and Apu K. Saha. "Multi Criteria Decision Making." In Impact of Climate Change on Hydro-Energy Potential, 13–15. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-305-7_4.

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Majumder, Mrinmoy, and Apu K. Saha. "Multi Criteria Decision Making." In Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques, 9–12. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-308-8_3.

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Danielson, Mats, and Love Ekenberg. "Multi-Criteria Decision-Making." In Real-Life Decision-Making, 53–62. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003406709-5.

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Thakkar, Jitesh J. "Weighted Aggregated Sum Product Assessment (WASPAS)." In Multi-Criteria Decision Making, 253–79. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_15.

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Thakkar, Jitesh J. "An Integrated DEMATEL-ANP (DANP) MCDM Approach for Quantifying the Supply Chain Risk: A Case of Indian Petroleum Supply Chain." In Multi-Criteria Decision Making, 349–65. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_21.

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Thakkar, Jitesh J. "Stepwise Weight Assessment Ratio Analysis (SWARA)." In Multi-Criteria Decision Making, 281–89. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_16.

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Thakkar, Jitesh J. "Technique for Order Preference and Similarity to Ideal Solution (TOPSIS)." In Multi-Criteria Decision Making, 83–91. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4745-8_5.

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Conference papers on the topic "Multi Criteria Decision Making"

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Abbey, Xander K., Abayomi A. Adebiyi, and Katleho Moloi. "Renewable Energy Site Assessment with Multi-Criteria Decision-Making." In 2024 IEEE PES/IAS PowerAfrica, 1–6. IEEE, 2024. https://doi.org/10.1109/powerafrica61624.2024.10759388.

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Mahmoudi, Ghadi, and Christian Muller-Schloer. "Semantic Multi-Criteria Decision Making SeMCDM." In 2009 IEEE Symposium on Computational Intelligence in Milti-Criteria Decision-Making (MCDM). IEEE, 2009. http://dx.doi.org/10.1109/mcdm.2009.4938842.

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Campos, Fabio, Andre Neves, and Fernando M. Campello de Souza. "Decision Making under Subjective Uncertainty." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369421.

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Yager, Ronald. "Fuzzy Methods for Constructing Multi-Criteria Decision Functions." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369440.

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Muhammed, Saleh Mahdi, Ghassan Abdul-Majeed, and Mahmoud Shuker Mahmoud. "Weighting Heart Disease Criteria Using Multi-Criteria Decision-Making." In 2023 Al-Sadiq International Conference on Communication and Information Technology (AICCIT). IEEE, 2023. http://dx.doi.org/10.1109/aiccit57614.2023.10218189.

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Felix, Rudolf. "Efficient Decision Making with Interactions Between Goals." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369441.

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Stirling, Wynn C., Richard L. Frost, Matthew S. Nokleby, and Yabing Luo. "Multicriterion Decision Making with Depen ent Preferences." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369442.

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Cheng, Ching-I., and Damon Shing-Min Liu. "A Decision Making Framework for Dressing Consultant." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369449.

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Mehranfar, Mahsa, Juan Mejia, Sherif Hassanien, and James Martin. "Integrity Mitigation Prioritization Using Multi-Criteria Decision-Making." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-93621.

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Abstract In-line Inspection (ILI) tools are regularly used for inspecting transmission pipelines. However, it is challenging to use such technology for a large portion of pipes; e.g. terminals and pumping stations, because of diameter changes, tight turns, or other pipe/inspection characteristics. Non-contact pipeline magnetic testing (NPMT) is a well-suited technique to inspect potentially non-ILI pipes. This paper presents a new framework for selecting and prioritizing digs-based LSM high severity features. A multi-criteria decision-making approach was developed using pair-wise comparisons which stems from the Analytical Hierarchy Process (AHP). AHP is a structured technique for organizing and analyzing complex decisions to help the decision maker set priorities and make the best decision given available information. In addition to the application of AHP, a cost benefit analysis and evaluation of risk have been conducted in order to support a risk-informed decision-making for selecting the top priority digs. Pipe properties, LSM tool reported data and Subject Matter Expert (SME) opinion were utilized in order to efficiently render a decision regarding prioritization of dig sites. The developed approach can be used as a regular process to prioritize similar dig programs. This method is capable of ranking different dig sites based on SME opinion as well as construction information and LSM reported data.
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Fleming, Peter J. "Tools and Techniques for Managing Many-Criteria Decision-Making." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369411.

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Reports on the topic "Multi Criteria Decision Making"

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Engau, A., and M. M. Wiecek. 2D Decision-Making for Multi-Criteria Design Optimization. Fort Belvoir, VA: Defense Technical Information Center, May 2006. http://dx.doi.org/10.21236/ada462566.

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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The purpose of this study is to use systems thinking skills as a supplemental selection tool when recruiting prospective employees. To the best of our knowledge, there is no prior research that studied the use of systems thinking skills for recruiting purposes. The proposed framework offers an established tool to HRM professionals for assessing and screening of prospective employees of an organization based on their level of systems thinking skills while controlling uncertainties of complex decision-making environment with the fuzzy linguistic approach. This framework works as an expert system to find the most appropriate candidate for the organization to enhance the human capital for the organization.
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3

Omar, Farhad, Steven T. Bushby, and Ronald D. Williams. Assessing the performance of residential energy management control algorithms: multi-criteria decision making using the analytical hierarchy process. Gaithersburg, MD: National Institute of Standards and Technology, September 2018. http://dx.doi.org/10.6028/nist.tn.2017.

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4

Stephens, Yue, and Bandstra. PR-224-094500-R01 Preliminary Target Reliability Levels for On-shore Liquid Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2013. http://dx.doi.org/10.55274/r0010799.

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Report describes a set of preliminary reliability targets for low vapor pressure hydrocarbon liquid pipelines. The targets were developed as part of a multi-year program to establish the reliability based design and assessment (RBDA) method as a viable decision-making alternative for onshore transmission pipelines. The targets are used as acceptance criteria in the application of RBDA. A pipeline is considered acceptable if it meets these targets.
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Alberts, Christopher, II Smith, Woody James, and Carol. Multi-view Decision Making (MVDM) Workshop. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada536803.

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Linke, Ethan, Nazmina Mahmoudzadeh, and Darren Holland. Prioritising Foodborne Disease with Multi-Criteria Decision Analysis. Food Standards Agency, November 2021. http://dx.doi.org/10.46756/sci.fsa.gex408.

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In recent years, the FSA has published a series of research projects which have produced estimates of the frequency and burden of thirteen different foodborne diseases. This document outlines the methodology and results of a multi-criteria decision analysis (MCDA) used to rank them in order of their detrimental effect on UK society.
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Kirschenbaum, Susan S. A Multi-Stage, Multi-Level Conceptual Model of Human Decision Making. Fort Belvoir, VA: Defense Technical Information Center, September 1986. http://dx.doi.org/10.21236/ada184942.

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Dolgunovas, Markas, and Rosita Norvaišienė. Analysis of Hybrid Timber Construction by Multiple Criteria Decision-Making Method. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541025944.

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Gerdes, John W., and Eric Spero. A Compact Review of Multi-criteria Decision Analysis Uncertainty Techniques. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada582195.

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Doshi, Prashant, and Adam Goodie. Individual Decision-Making in Uncertain and Large-Scale Multi-Agent Environments. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada495454.

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