A NOVEL APPROACH FOR EFFECTIVE SOLUTION OF QUADRATIC PROGRAMMING PROBLEMS IN FUZZY ENVIRONMENT

Abstract

 In this paper, a new solution approach to investigate an approximate optimal solution to fuzzy quadratic 
programming problem whose coefficients are taken to be generalized trapezoidal fuzzy numbers is developed. By using, a 
linear approximation of non-linear equations, the fuzzy quadratic objective function is transformed into linear objective 
function. An expected value technique is used for defuzzification and the obtained deterministic linear programming is solved 
by simplex method. The proposed strategy is validated by numerical examples and the obtained solutions are compared with 
existing methods solution.