A new generalized improved score function of interval-valued intuitionistic fuzzy sets and applications in expert systems

被引:267
作者
Garg, Harish [1 ]
机构
[1] Thapar Univ, Sch Math, Patiala 147004, Punjab, India
关键词
Multi-criteria decision making; Attribute weights; Score function; Interval-valued intuitionistic fuzzy number; DECISION-MAKING; AGGREGATION OPERATORS;
D O I
10.1016/j.asoc.2015.10.040
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The objective of this paper is divided into two folds. Firstly, a new generalized improved score function has been presented in the interval-valued intuitionistic fuzzy sets (IVIFSs) environment by incorporating the idea of weighted average of the degree of hesitation between their membership functions. Secondly, an IVIFSs based method for solving the multi-criteria decision making (MCDM) problem has been presented with completely unknown attribute weights. A ranking of the different attributes is based on the proposed generalized improved score functions and the sensitivity analysis on the ranking of the system has been done based on the decision-making parameters. An illustrative examples have been studied to show that the proposed function is more reasonable in the decision-making process than other existing functions. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:988 / 999
页数:12
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