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Presentation
Information Conservational YinYang Bipolar Quantum-Fuzzy Cognitive Maps-Mapping Business Data to Business Intelligence
Proceedings of 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  • Wen-Ran Zhang, Georgia Southern University
Document Type
Conference Proceeding
Publication Date
7-1-2016
DOI
10.1109/FUZZ-IEEE.2016.7737977
Disciplines
Abstract

Based on YinYang bipolar fuzzy sets and bipolar quantum linear algebra (BQLA), information conservational bi-polar quantum-fuzzy cognitive maps (BQFCMs) are proposed. It is shown that a bipolar relation can be normalized to a bipolar quantum-fuzzy logic gate (BQFLG) matrix – the equivalent of a BQFCM for equilibrium-based business intelligence. Computability and applicability of BQFCMs are illustrated with case studies in portfolio management, supply-production optimization and import-export rebalancing. This work is expected to add bipolar quantum computational intelligence (QCI) as an integrative dimension to computational intelligence. Its philosophical and mathematical uniqueness is discussed. An unsettled debate is outlined.

Citation Information
Wen-Ran Zhang. "Information Conservational YinYang Bipolar Quantum-Fuzzy Cognitive Maps-Mapping Business Data to Business Intelligence" Proceedings of 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (2016) p. 2279 - 2286
Available at: http://works.bepress.com/wen-ran_zhang/41/