This paper presents the comparative study for fuzzy regression model using linear programming and fuzzy regression model using genetic algorithms. Two cases were considered: crisp X – crisp Y and crisp X – fuzzy Y. Simulation was carried out with a tool developed in MATLAB.

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This paper presents the comparative study for fuzzy regression model using linear programming, fuzzy regression model using genetic algorithms and standard regression model. The fuzzy and standard models were developed for estimation of electric power losses in electrical networks. Simulation was carried out with a tool developed in MATLAB.