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Yinyang Bipolar Fuzzy Sets And Fuzzy Equilibrium Relations: For Clustering, Optimization, And Global Regulation

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  • WEN-RAN ZHANG

    (Department of Computer Science, College of Information Technology, Georgia Southern University, P.O. Box 7997, Statesboro, GA, 30460-7997, USA)

Abstract

Based on the notions of bipolar lattices andL-sets, YinYang bipolar fuzzy sets and fuzzy equilibrium relations are presented for bipolar clustering, optimization, and global regulation. While a bipolarL-set is defined as a bipolar equilibrium functionLthat maps a bipolar object setXover an arbitrary bipolar latticeBasL:X ⇒ B, this work focuses on the unit square latticeBF= [-1, 0] × [0, 1]. A strong or weak bipolar fuzzy equilibrium relation in a bipolar setXis then defined as a reflexive, symmetric, and bipolar interactive (or transitive) fuzzy relationμR: X ⇒ BF. Three types of bipolar α-level sets are presented for bipolar defuzzification and depolarization. It is shown that a fuzzy equilibrium relation is a non-linear bipolar generalization and/or fusion of multiple similarity relations, which induces disjoint or joint bipolar fuzzy subsets including quasi-coalition, conflict, and harmony sets. Equilibrium energy and stability analysis can then be utilized on different clusters for optimization and global regulation purposes. Thus, this work provides a unified approach to truth, fuzziness, and polarity and leads to a holistic theory for cognitive-map-based visualization, optimization, decision, global regulation, and coordination. Basic concepts are illustrated with a simulation in macroeconomics.

Suggested Citation

  • Wen-Ran Zhang, 2006. "Yinyang Bipolar Fuzzy Sets And Fuzzy Equilibrium Relations: For Clustering, Optimization, And Global Regulation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 19-46.
  • Handle: RePEc:wsi:ijitdm:v:05:y:2006:i:01:n:s0219622006001885
    DOI: 10.1142/S0219622006001885
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    Cited by:

    1. Wen-Ran Zhang & Karl E. Peace & Hyo-Joo Han, 2016. "YinYang bipolar dynamic organizational modeling for equilibrium-based decision analysis: Logical transformation of an indigenous philosophy to a global science," Asia Pacific Journal of Management, Springer, vol. 33(3), pages 723-766, September.

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