A New Method to Evaluate Linear Programming Problem in Bipolar Single-Valued Neutrosophic Environment

被引：10

作者：

Ahmed, Jamil ^{[1
]}

Alharbi, Majed G. ^{[2
]}

Akram, Muhammad ^{[3
]}

Bashir, Shahida ^{[1
]}

机构：

[1] Univ Gujrat, Dept Math, Gujrat, Pakistan

[2] Qassim Univ, Methnab, Coll Arts & Sci, Dept Math, Buraydah, Saudi Arabia

[3] Univ Punjab, Dept Math, New Campus, Lahore, Pakistan

来源：

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2021年 / 129卷 / 02期

关键词：

Bipolar single-valued neutrosophic numbers; score function; trapezoidal numbers; linear programming; FUZZY; OPTIMIZATION; MODEL;

D O I：

10.32604/cmes.2021.017222

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A bipolar single-valued neutrosophic set can deal with the hesitation relevant to the information of any decision making problem in real life scenarios, where bipolar fuzzy sets may fail to handle those hesitation problems. In this study, we first develop a new method for solving linear programming problems based on bipolar single valued neutrosophic sets. Further, we apply the score function to transform bipolar single-valued neutrosophic problems into crisp linear programming problems. Moreover, we apply the proposed technique to solve fully bipolar single-valued neutrosophic linear programming problems with non-negative triangular bipolar single-valued neutrosophic numbers (TBS,NNs) and non-negative trapezoidal bipolar single-valued neutrosophic numbers (TrBS,NNs).

引用

页码：881 / 906

页数：26

共 45 条

[1] A novel method for solving the fully neutrosophic linear programming problems [J].