Multiple Attribute Group Decision Making Based on Simplified Neutrosophic Integrated Weighted Distance Measure and Entropy Method

被引:2
作者
Zhang, Haibo [1 ]
Mu, Zhimin [2 ]
Zeng, Shouzhen [1 ]
机构
[1] Ningbo Univ, Sch Business, Ningbo 315211, Peoples R China
[2] Tianjin Agr Univ, Dept Basic Sci, Tianjin 300384, Peoples R China
基金
浙江省自然科学基金;
关键词
AGGREGATION OPERATORS; TOPSIS METHOD;
D O I
10.1155/2020/9075845
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Simplified neutrosophic set (SNS) is a popular tool in modelling potential, imprecise, and uncertain information within complex environments. In this paper, a method based on the integrated weighted distance measure and entropy weight is proposed for handling SNS multiple attribute group decision-making (MAGDM) problems. To this end, the simplified neutrosophic (SN) integrated weighted distance (SVNIWD) measure is first developed for overcoming the limitations of the existing methods. Afterward, the proposed SNIWD's several properties and particular status are studied. Moreover, a flexible and useful MAGDM approach that combines the strengths of the SNIWD and the SNS is proposed, wherein the SN entropy measure is applied to calculate the unknown weight information regarding attributes. Finally, a numerical case of investment evaluation and subsequent comparative analysis are conducted to prove the superiority of the proposed framework.
引用
收藏
页数:10
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