A New DST-Belief Theoretic Project Selection Model for Multi-Criteria Decision Support System

Decision-making problem is co-related to quality and availability of the information. Innovative algorithms are proposed as a mathematical problem-solving technique to work in uncertainty-based decision science domain. Evidence-based theory of Dempster-Shafer (DST) is an effective mathematical tool to deal with uncertainty in the decision-making procedure. The current research exposition on new decision-making method based on DST of evidence, quantification evidence preference from different multiple criteria defined by belief function has been presented. They have developed a new framework that tackles the challenges and borne out of uncertainty both in criteria and in alternative levels. The proposed hybridized MCDM tool developed upon fuzzy domain uses plausibility and theory of belief function to construct decision on uncertain and imprecise information. The proposed method can be well fitted for real-life application. An illustrative example establishes the effectiveness of the aforesaid method.

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