Publication | Open Access
Two Classes of Entropy Measures for Complex Fuzzy Sets
42
Citations
22
References
2019
Year
Complex Fuzzy SetsFuzzy LogicEngineeringFuzzy ComputingEntropyFuzzy MathematicsRotational InvarianceEntropy MeasuresFuzzy OptimizationNon-additive MeasureFunctional AnalysisFuzzy ClusteringFuzzy Pattern Recognition
Complex fuzzy sets are characterized by complex-valued membership functions, whose range is extended from the traditional fuzzy range of [0,1] to the unit circle in the complex plane. In this paper, we define two kinds of entropy measures for complex fuzzy sets, called type-A and type-B entropy measures, and analyze their rotational invariance properties. Among them, two formulas of type-A entropy measures possess the attribute of rotational invariance, whereas the other two formulas of type-B entropy measures lack this characteristic.
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