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Multi-attribute group decision making based on Choquet integral under interval-valued intuitionistic fuzzy environment

机译:区间值直觉模糊环境下基于Choquet积分的多属性群决策

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摘要

In this paper, we propose new methods to represent interdependence among alternative attributes and experts' opinions by constructing Choquet integral using interval-valued intuitionistic fuzzy numbers. In the sequel, we apply these methods to solve the multiple attribute group decision-making (MAGDM) problems under interval-valued intuitionistic fuzzy environment. First, the concept of interval-valued intuitionistic fuzzy Choquet integral is defined, and some elementary properties are studied in detail. Next, an axiomatic system of interval-valued intuitionistic fuzzy measure is established by delivering a series of mathematical proofs. Then, with fuzzy entropy and Shapely-values in game theory, we propose the interval-valued intuitionistic fuzzy measure development methods in order to form the importance measure of attributes and correlation measure of the experts, respectively. Based on the results of theoretical analysis, a new method is proposed to handle the interval-valued intuitionistic fuzzy group decision making problems. A numerical example illustrates the procedure of the proposed methods and verifies the validity and effectiveness of our new proposed methods.
机译:在本文中,我们提出了一种新方法,通过使用区间值直觉模糊数构造Choquet积分来表示替代属性和专家意见之间的相互依赖性。接下来,我们将这些方法应用于区间值直觉模糊环境下的多属性组决策(MAGDM)问题。首先,定义了区间直觉模糊Choquet积分的概念,并详细研究了一些基本性质。接下来,通过提供一系列数学证明,建立了区间值直觉模糊测度的公理系统。然后,利用博弈论中的模糊熵和Shapely-values,提出了区间值直觉模糊测度开发方法,分别形成了专家属性的重要性测度和相关性测度。基于理论分析的结果,提出了一种解决区间值直觉模糊群决策问题的新方法。数值算例说明了所提出方法的程序,并验证了我们所提出新方法的有效性和有效性。

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