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An Approach to Solve a Possibilistic Linear Programming Problem

An Approach to Solve a Possibilistic Linear Programming Problem
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摘要 The objective of the paper is to deal with a kind of possibilistic linear programming (PLP) problem involving multiple objectives of conflicting nature. In particular, we have considered a multi objective linear programming (MOLP) problem whose objective is to simultaneously minimize cost and maximize profit in a supply chain where cost and profit coefficients, and related parameters such as available supply, forecast demand and budget are fuzzy with trapezoidal fuzzy numbers. An example is given to illustrate the strategy used to solve the aforesaid PLP problem. The objective of the paper is to deal with a kind of possibilistic linear programming (PLP) problem involving multiple objectives of conflicting nature. In particular, we have considered a multi objective linear programming (MOLP) problem whose objective is to simultaneously minimize cost and maximize profit in a supply chain where cost and profit coefficients, and related parameters such as available supply, forecast demand and budget are fuzzy with trapezoidal fuzzy numbers. An example is given to illustrate the strategy used to solve the aforesaid PLP problem.
出处 《Applied Mathematics》 2014年第2期226-233,共8页 应用数学(英文)
关键词 Multi Objective LINEAR PROGRAMMING PROBLEM FUZZY SET Theory Trapezoidal FUZZY NUMBERS Possibilistic LINEAR PROGRAMMING PROBLEM Multi Objective Linear Programming Problem Fuzzy Set Theory Trapezoidal Fuzzy Numbers Possibilistic Linear Programming Problem
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