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Credibility Measure for Intuitionistic Fuzzy Variables

Author

Listed:
  • 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)

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.

Suggested Citation

  • Mohamadtaghi Rahimi & Pranesh Kumar & Gholamhossein Yari, 2018. "Credibility Measure for Intuitionistic Fuzzy Variables," Mathematics, MDPI, vol. 6(4), pages 1-7, April.
    • Handle: RePEc:gam:jmathe:v:6:y:2018:i:4:p:50-:d:139236
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