首页> 外文期刊>Arabian Journal for Science and Engineering >Approaches to Multiple Attribute Group Decision Making Under Intuitionistic Fuzzy Settings: Application of Dempster–Shafer Theory of Evidence
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Approaches to Multiple Attribute Group Decision Making Under Intuitionistic Fuzzy Settings: Application of Dempster–Shafer Theory of Evidence

机译:直觉模糊设置下的多属性群决策方法:Dempster-Shafer证据理论的应用

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This paper studies the multiple attribute group decision-making problems in intuitionistic fuzzy settings and interval-valued intuitionistic fuzzy settings based on Dempster-Shafer theory and information entropy. First, the degrees of uncertainty of parameters are derived from the information entropy by which new kinds of Mass functions of the different parameters are constructed. The concept of degree of the conflict of evidence is proposed. Second, the weighted combination rule of Dempster-Shafer evidence is firstly introduced to fuse the experts' Mass functions into a collective one. Finally, two examples under intuitionistic fuzzy settings and interval-valued intuitionistic fuzzy settings are presented to demonstrate the effectiveness and applicability of the proposed approach. By the way, from the two examples, we illustrate that the multiple attribute group decision making is superior and more reliable than the decision making conducted by only one decision maker.
机译:基于Dempster-Shafer理论和信息熵,研究了直觉模糊设置和区间值直觉模糊设置中的多属性群决策问题。首先,从信息熵导出参数的不确定度,从而构造不同参数的新型质量函数。提出了证据冲突程度的概念。其次,首先引入了Dempster-Shafer证据的加权组合规则,以将专家的Mass函数融合为一个集体函数。最后,给出了直觉模糊设置和区间值直觉模糊设置下的两个例子,以证明所提方法的有效性和适用性。顺便说一句,从两个示例中,我们说明了多属性组决策比仅由一个决策者进行的决策优越且更可靠。

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