A defuzzifying decision-making method for multiple attribute system with fuzzy information

A defuzzifying decision-making method for a multiobjective system with fuzzy information is presented in this paper. At first, employing expert opinion using fuzzy numbers and linguistic variables, the fuzzy synthetical evaluation value of each alternative is aggregated by means of a standard fuzzy algorithm. Then, instead of the conventional methods of ranking of fuzzy numbers, the ordering of alternatives is determined by a defuzzifying method, which is intuitive in nature, computationally simple and easy to implement. A numerical example illustrates the method.