Fuzzy Linear Programming Solved via Solving Linear Programming

Authors

  • DR.RAJESHWARA REDDY

Keywords:

Fuzzy arithmetic, Fuzzy linear programming, Fuzzy number

Abstract

Engineering design is typically plagued with inaccuracies due to the complexity of many real-world engineering systems. Fuzzy linear programming issues play an important part in fuzzy modelling, which is able to express uncertainty in the real world. Dubois and Prade's LR fuzzy number is one of the most practical themes in recent research, with several useful and simple approximation arithmetic operators on it. Fuzzy vectors occur as a vector of triangular fuzzy integers in various vector calculations. To begin, we are looking for a nonnegative fuzzy vector x in this situation fuzzy numbers. Here, our main scope is finding some nonnegative fuzzy vector ~x in which maximizes the objective function ~ ~ z = c x so that ~ ~ A x = b , where A and ~b are a real matrix and a fuzzy vector respectively, and n c 1× is a real vector too.

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Published

2019-12-30

How to Cite

REDDY, D. . (2019). Fuzzy Linear Programming Solved via Solving Linear Programming. The Journal of Contemporary Issues in Business and Government, 25(1), 134–142. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/159

Issue

Vol. 25 No. 1 (2019): The journal of contemporary issues in business and government

Section

Articles

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