LU Decomposition method to solve bipolar fuzzy linear systems

Author:

Akram Muhammad1,Muhammad Ghulam1,Allahviranloo Tofigh2,Hussain Nawab3

Affiliation:

1. Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan

2. Bahcesehir University, Faculty of Engineering and Natural Sciences, Istanbul, Turkey

3. Department of Mathematics, King Abdulaziz University, Jeddah, Saudi Arabia

Abstract

The aim of this work is to solve the linear system of equations using LU decomposition method in bipolar fuzzy environment. We assume a special case when the coefficient matrix of the system is symmetric positive definite. We discuss this point in detail by giving some numerical examples. Moreover, we investigate m × n inconsistent bipolar fuzzy matrix equation and find the least square solution of the inconsistent bipolar fuzzy matrix using the generalized inverse matrix theory. The existence of the strong bipolar fuzzy least square solution of the inconsistent bipolar fuzzy matrix is discussed. In the end, a numerical example is presented to illustrate our proposed method.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference37 articles.

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5. A novel trapezoidal bipolar fuzzy TOPSIS method for group decision-making;Akram;Group Decision and Negotiation,2019

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