计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (9): 70-72.
• 理论研究 • 上一篇 下一篇
俞 峰,杨成梧
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YU Feng,YANG Cheng-wu
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摘要： σ-度量和弱σ-度量是模糊信息度量的重要概念。熵、距离测度和相似测度是σ-度量和弱σ-度量的特例。在直觉区间值模糊集定义的基础上，给出了σ-熵和弱σ-熵、σ-距离测度和弱σ-距离测度、σ-相似测度和弱σ-相似测度的定义与性质，并讨论了它们之间的关系。
关键词: 直觉区间值模糊集, σ-度量, 弱σ-度量, 熵, 距离测度, 相似测度
Abstract: The σ-measures and weak σ-measures are important concepts in fuzzy information measure.Entropy，distance measure and similarity measure are special cases of σ-measures and weak σ-measures.Based on the definition of intuitionistic interval-valued fuzzy sets，this paper gives the definitions and properties of σ-entropy and weak σ-entropy，σ-distance measure and weak σ-distance measure，σ-similarity measure and weak σ-similarity measure，then discusses basic relations among them.
Key words: intuitionistic interval-valued fuzzy sets, σ-measures, weak σ-measures, entropy, distance measure, similarity measure
俞 峰,杨成梧. 直觉区间值模糊集的σ-熵、σ-距离测度和σ-相似测度[J]. 计算机工程与应用, 2008, 44(9): 70-72.
YU Feng,YANG Cheng-wu. σ-entropy，σ-distance measure and σ-similarity measure of intuitionistic interval-valued fuzzy sets[J]. Computer Engineering and Applications, 2008, 44(9): 70-72.
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