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Bipolar Fuzzy Sets and Equilibrium Relations

Bipolar Fuzzy Sets and Equilibrium Relations

Copyright: © 2011 |Pages: 30
ISBN13: 9781609605254|ISBN10: 160960525X|EISBN13: 9781609605261
DOI: 10.4018/978-1-60960-525-4.ch005
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MLA

Wen-Ran Zhang. "Bipolar Fuzzy Sets and Equilibrium Relations." YinYang Bipolar Relativity: A Unifying Theory of Nature, Agents and Causality with Applications in Quantum Computing, Cognitive Informatics and Life Sciences, IGI Global, 2011, pp.129-158. https://doi.org/10.4018/978-1-60960-525-4.ch005

APA

W. Zhang (2011). Bipolar Fuzzy Sets and Equilibrium Relations. IGI Global. https://doi.org/10.4018/978-1-60960-525-4.ch005

Chicago

Wen-Ran Zhang. "Bipolar Fuzzy Sets and Equilibrium Relations." In YinYang Bipolar Relativity: A Unifying Theory of Nature, Agents and Causality with Applications in Quantum Computing, Cognitive Informatics and Life Sciences. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-525-4.ch005

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Abstract

Based on bipolar sets and quantum lattices, the concepts of bipolar fuzzy sets and equilibrium relations are presented in this chapter for bipolar fuzzy clustering, coordination, and global regulation. Related theorems are proved. Simulated application examples in multiagent macroeconomics are illustrated. Bipolar fuzzy sets and equilibrium relations provide a theoretical basis for cognitive-map-based bipolar decision, coordination, and global regulation.

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