Human decision making through an entropic framework. (30th November 2021)

• Record Type: Journal Article
• Authors: Aggarwal, Manish
• Is Part Of: Expert systems with applications. Volume 183(2021)
• Publication Date: 2021-11-30
• Subjects: Decision Analysis -- Uncertainty -- Decision making -- Fuzziness -- Compensation -- Attitude; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2021.114926
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: Entropy functions based on Perceived Uncertainty are introduced. The extant entropy functions are special cases of the proposed functions. Analysis of the special cases is performed. Applicability in the real world decision-making is demonstrated. Abstract: In this paper, new entropy functions are formulated based on an agent's perceived uncertainty that inevitably affects the agent's choice. The role of the decision-maker's (DM's) attitude is emphasized as one of the key determinants of such an entropy function. More specifically, new attitude-based variants of Shannon's, Pal & Pal, and Aggarwal's probabilistic entropies are introduced. The extant fuzzy entropies are also extended to consider the agent's specific attitude. The proposed entropy functions provide a wide range of entropy values with the conventional entropy functions as their special cases. The special cases of the proposed entropies are examined. The wide applicability of the proposed entropy functions in multi criteria decision making is highlighted. A case-study is included to showcase the usefulness of the proposed entropy functions in the real world.