Development of fuzzy regression models using genetic algorithms
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.
fuzzy regression genetic algorithms linear programming minimum fuzziness criterion