Абстрактный

Solving Fuzzy Network Problems by Defuzzification Techniques

Alaulden N. A., Sanar M. Y.

This paper developed two defuzzification approaches to convert the coefficients and the variables of the fuzzy linear programming problems (FLPP) into crisp (deterministic) linear programming problem (CLPP) based on philosophies of probability density function, and ranking measures. The case study is considered from a real problem to verify our results, using “MATLAB2010R” software.