Title

Information Conservational YinYang Bipolar Quantum-Fuzzy Cognitive Maps-Mapping Business Data to Business Intelligence

Document Type

Conference Proceeding

Publication Date

7-2016

Publication Title

Proceedings of 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

DOI

10.1109/FUZZ-IEEE.2016.7737977

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.

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