The theory of everything: A model that provides a unified solution for dealing with uncertainty in solving MCDM problems

Diplôme Thèse The theory of everything: A model that provides a unified solution for dealing with uncertainty in solving MCDM problems eng 2024 2024-02-07 author Zakeri Shervin 0000-0002-3430-100X 947797 Institute of information service science (INSS) director Konstantas Dimitri 23437 Recherche et enseignement GSEM (RESEM) 718 10.13097/archive-ouverte/unige:182825 urn:nbn:ch:unige-1828256 GSEM 138 Uncertainty is a fundamental aspect of the decision-making process, especially in Multi-Criteria Decision Making (MCDM) problems, where every stage of problem-solving involves some degree of uncertainty. MCDM problems are characterized by a framework of multiple criteria and alternatives, designed to achieve one or several objectives of the decision-making process. Ranging from everyday issues to highly complex industrial, military, and political challenges, MCDM problems have outcomes that can significantly impact many lives or incur substantial financial costs. Therefore, developing solutions that produce the least uncertain outputs is crucial. Uncertainty in decision-making typically arises when decision-makers lack complete information about the elements of decision analysis or its outcomes. The primary aim of this paper-based doctoral dissertation is to offer a comprehensive solution, termed the 'theory of everything,' that addresses all sources of uncertainty in MCDM problems. Thirteen sources of uncertainty have been identified, including: <li>Decision-making goals</li> <li>Decision-makers</li> <li>Linguistic variables and scales</li> <li>Conversion of uncertain to certain values</li> <li>Weighting methods</li> <li>MCDM method processes</li> <li>Time</li> <li>Missing information</li> <li>Multi-layer problems</li> <li>Philosophies and policies, encompassing the decision-making paradox</li> <li>Validation</li> <li>The Rank Reversal Paradox</li> To tackle each of these sources, various MCDM algorithms, statistical measures, novel scales, new numerical sets, a game, and a new theoretical framework were proposed. These solutions are detailed across eighteen scientific articles. In the final chapter, the unified model, including its components, properties, and limitations, is thoroughly discussed, offering a holistic approach to managing uncertainty in MCDM. MCDM Uncertainty Uncertainty sources Unified model Theory of Everything Dewey 025.06/650 118 Information Science Institute S6 false f3dd6970-398f-46ad-8234-6251f13fdf73 Thesis Public SZ - Doctoral dissertation - Full v.pdf 14360010 application/pdf Private 2028-02-08 94629382dcd1788f3c911f77529d518d68d478b61e29dd8a2ff2d0771f35c1bf bc3a7228-c2f6-4ea4-b133-ca196da2d05e Imprimatur Public ZAKERI_Shervin_Imprimatur.pdf 84236 application/pdf fbca1ddaef79d890f559a169df544cd61f1d43c4707591e545eb0b0f00e44d2a embargoedAccess Faculté d'économie et de management / Information Science Institute

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