Abstract
The main task of this paper is to develop a new decision making method based on a novel entropy measure of intuitionistic fuzzy sets. First a novel intuitionistic fuzzy entropy is constructed, then based on this information measure, new weighting methods are proposed for the intuitionistic fuzzy decision making problems with the attribute weights are completely unknown or partly known. Further the intuitionistic fuzzy TOPSIS method is developed in this paper, and two examples are given to illustrate effectiveness and practicability of proposed method.
Highlights
A New Entropy-based Intuitionistic Fuzzy Multi-attribute Decision Making MethodTo cite this article: Lanping Li. A New Entropy-based Intuitionistic Fuzzy Multi-attribute Decision Making Method
Because of the complexity and limitations of human understanding of the world, more and more management problems involve a lot of fuzzy concepts, such as, expected cost between 180 with 200 million, demand about 200 people
Since the fuzzy set was firstly proposed by Zadeh [1], fuzzy sets have been applied to various fields, especially the multiple attribute decision making problems based on fuzzy sets have been widely studied and applied to many field, such as supplier partner selection, military weapon system evaluation and selection of manufacturers [24]
Summary
To cite this article: Lanping Li. A New Entropy-based Intuitionistic Fuzzy Multi-attribute Decision Making Method. Received: October 6, 2016; Accepted: October 14, 2016; Published: November 7, 2016
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