TITLE:
An Approach to Solve a Possibilistic Linear Programming Problem
AUTHORS:
Ritika Chopra, Ratnesh R. Saxena
KEYWORDS:
Multi Objective Linear Programming Problem; Fuzzy Set Theory; Trapezoidal Fuzzy Numbers; Possibilistic Linear Programming Problem
JOURNAL NAME:
Applied Mathematics,
Vol.5 No.2,
January
17,
2014
ABSTRACT: 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.