A Linear Programming Method Based on an Improved Score Function for Interval-Valued Pythagorean Fuzzy Numbers and Its Application to Decision-Making

被引：103

作者：

Garg, Harish ^{[1
]}

机构：

[1] Deemed Univ, Thapar Inst Engn & Technol, Sch Math, Patiala 147004, Punjab, India

来源：

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2018年 / 26卷 / 01期

关键词：

Pythagorean fuzzy set; MCDM; score function; linear programming model; AGGREGATION OPERATORS; MEMBERSHIP GRADES; ACCURACY FUNCTION; SETS;

D O I：

10.1142/S0218488518500046

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The present paper proposes an improved score function for solving multi-criteria decision-making (MCDM) problem with partially known weight information, In it, the preferences related to criteria are taken in the form of interval-valued Pythagorean fuzzy sets. Based on these preferences and an improved score function, a score matrix has been formulated and then a linear programming based method has been proposed to solve MCDM problems with unknown attribute weights. Some generalized properties have also been proven for justification. Illustrative examples have been given for showing the superiority of the approach with the other existing functions in the decision-making process.

引用

页码：67 / 80

页数：14

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