广义模糊熵和模糊散度测度及其应用

Surender Singh, Sonam Sharma
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引用次数: 13

摘要

模糊集的熵衡量模糊集中出现的歧义/不精确的数量。本文介绍了一种广义模糊熵测度,并从结构化语言变量的角度论证了其在多属性决策中的有效性和优越性。本文还引入了广义模糊有向散度,并研究了它的性质。进一步,本文证明了所提出的广义有向发散在模式识别中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Generalized Fuzzy Entropy and Fuzzy Divergence Measure with Applications
Entropy in a fuzzy set measures the amount of ambiguity/imprecision presented in the fuzzy set. In this article, the authors introduce a generalized fuzzy entropy measure and demonstrate its effectiveness in Multiple Attribute Decision Making (MADM) and superiority from the point of view of structured linguistic variables. This article also introduces a generalized fuzzy directed divergence and investigates its properties. Further, this article demonstrates the effectiveness of the proposed generalized directed divergence in pattern recognition.
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