Defuzzification in fuzzy multicriteria analysis

The paper presents a simulation based comparative study on the performance of six defuzzification methods along the lines of the simple additive weighting approach and the technique for order preference by similarity to ideal solution approach in fuzzy multicriteria analysis. The consistency and effectiveness of these methods are investigated. The results show that individual methods perform differently with respect to the overall ranking of the alternatives. It demonstrates that the methods that are capable of effectively using all the available information produce more consistent rankings