摘要
直觉模糊熵是直觉模糊集理论中的一个非常重要的概念,它反映了直觉模糊集的不确定程度和模糊程度。本文提出了一种改进的直觉模糊熵,并建立了基于该熵的动态属性权重模型和基于直觉模糊解析面积的TOPSIS法,并将其应用到直觉模糊多属性问题中。最后用实例表明了该决策方法的正确性和实用性。
Intuitionistic fuzzy entropy is an very important notation in intuitionistic fuzzy theory, which reflects the degree of uncertainty and fuzzy of intuitionistic fuzzy sets. One dynamic attribute weights model is established by an improved intuitionistic fuzzy entropy, which is proposed in this paper, and a TOPSIS method based on intuitionistic fuzzy analytic area is put forward, then the methods are applied to solve the intuitionistic fuzzy multi-attribute decision-making problems. "Finally, numerical example illustrates the correctness and practicality of this method.
出处
《模糊系统与数学》
CSCD
北大核心
2015年第4期103-108,共6页
Fuzzy Systems and Mathematics
关键词
多属性决策
直觉模糊熵
动态权重
直觉模糊解析面积
Multi-attribute Decision-making
Inutitionistic Fuzzy Entropy
Dynamic Weights
Intuitionistic Fuzzy Analytic Area