Correlation Coefficient Measures of Interval Bipolar Neutrosophic Sets for Solving Multi-Attribute Decision Making Problems

被引：0

作者：

Pramanik, Surapati ^{[1
]}

Dey, Partha Pratim ^{[2
]}

Smarandache, Florentin ^{[3
]}

机构：

[1] Nandalal Ghosh BT Coll, Dept Math, PO Narayanpur,Dist North 24 Parganas, Panpur 743126, W Bengal, India

[2] Patipukur Pallisree Vidyapith, Dept Math, Kolkata 700048, W Bengal, India

[3] Univ New Mexico, Dept Math, 705 Gurley Ave, Gallup, NM 87301 USA

来源：

NEUTROSOPHIC SETS AND SYSTEMS | 2018年 / 19卷

关键词：

Interval bipolar neutrosophic set; multi-attribute decision making; correlation coefficient measure;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Interval bipolar neutrosophic set is a significant extension of interval neutrosophic set where every element of the set comprises of three independent positive membership functions and three independent negative membership functions. In this study, we first define correlation coefficient, and weighted correlation coefficient measures of interval bipolar neutrosophic sets and prove their basic properties. Then, we develop a new multi-attribute decision making strategy based on the proposed weighted correlation coefficient measure. Finally, we solve an investment problem with interval bipolar neutrosophic information and comparison is given to demonstrate the applicability and effectiveness of the proposed strategy.

引用

页码：70 / 79

页数：10

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