Credibility Measure for Intuitionistic Fuzzy Variables

Mohamadtaghi Rahimi, Pranesh Kumar and Gholamhossein Yari
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Mohamadtaghi Rahimi: Department of Mathematics and Statistics, University of Northern British Columbia, Prince George, BC V2N 4Z9, Canada
Pranesh Kumar: Department of Mathematics and Statistics, University of Northern British Columbia, Prince George, BC V2N 4Z9, Canada
Gholamhossein Yari: Department of Mathematics, Iran University of Science and Technology, 16846-13114 Tehran, Iran

Mathematics, 2018, vol. 6, issue 4, 1-7

Abstract: Credibility measures in vague environments are to quantify the approximate chance of occurrence of fuzzy events. This paper presents a novel definition about credibility for intuitionistic fuzzy variables. We axiomatize this credibility measure and to clarify, give some examples. Based on the notion of these concepts, we provide expected values, entropy, and general formulae for the central moments and discuss them through examples.

Keywords: credibility measure; intuitionistic fuzzy variables; expected value; entropy (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2018
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