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Licensed Unlicensed Requires Authentication Published by De Gruyter 2020

4. Fuzzy informative evidence theory and application in the project selection problem

Tanmoy Som, Tuli Bakshi and Arindam Sinharay

Abstract

The decision theoretic problem is formed to address the quality and availability of the information. In this context, a new algorithm has been presented to help the decision support system (DSS) under imperfect and fuzzy information acquired from an unreliable and conflicting source of information. Dempster-Shafer theory (DSTE) of evidence is an important mathematical process to resolve uncertainty in the decision making procedure. A new idea, termed as Systematic Derivation of Mass Function (SDMF) is applied to use quantification evidence preference from different multiple criteria. A numerical example of the project selection problem with fuzzy information has been presented to demonstrate the concept.

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