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Entropy of Dynamical Systems on Interval-Valued Intuitionistic Fuzzy Sets

Author

Listed:
  • Zohreh Nazari

    (Department of Mathematics, Vali-e-Asr, University of Rafsanjan, Rafsanjan, Iran)

  • Batool Mosapour

    (Department of Mathematics, Farhangian, University, Kerman, Iran)

  • Elham Zangiabadi

    (Department of Mathematics, Vali-e-Asr, University of Rafsanjan, Rafsanjan, Iran)

  • Abolfazl Ebrahimzadeh

    (Young Researchers and Elite Club, Zahedan Branch, Islamic Azad University, Zahedan, Iran)

Abstract

In this work, we introduce the concepts of Shannon entropy and conditional entropy of experiments in the interval-valued intuitionistic fuzzy case, and study the basic properties of the information measures. Subsequently, by means of the suggested notion of entropy of partitions, we define the entropy of a dynamical system on interval-valued intuitionistic fuzzy sets (IVIF). A version of the Kolmogorov–Sinai theorem on generators for dynamical systems on the IVIF is proved. It is shown that this entropy is an invariant under isomorphisms of interval-valued intuitionistic fuzzy dynamical systems; thus, we obtain a tool for distinguishing some non-isomorphic interval-valued intuitionistic fuzzy dynamical systems. The proposed measure can be used as a measure of information of experiment whose outcomes are interval-valued intuitionistic fuzzy events.

Suggested Citation

  • Zohreh Nazari & Batool Mosapour & Elham Zangiabadi & Abolfazl Ebrahimzadeh, 2023. "Entropy of Dynamical Systems on Interval-Valued Intuitionistic Fuzzy Sets," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 541-556, July.
  • Handle: RePEc:wsi:nmncxx:v:19:y:2023:i:02:n:s1793005723500217
    DOI: 10.1142/S1793005723500217
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