Fuzzy Decision Making

Abstract

After formulating the fuzzy representations of the various linguistic terms, the next step is decision-making based on these formulations and by using fuzzy optimization or decision making techniques. Fuzzy optimization approaches have been developed for most of the existing crisp optimization and decision making techniques. Fuzzy linear programming is a well-developed field and has been extended to fuzzy multiple-objective programming and fuzzy goal programming. Fuzzy multiple attribute decision making is an ideal approach to overcome the representation of the frequently encountered linguistic expressions such as very good, good, fairly good, average, fairly poor, poor, and very poor. For dynamic and non-linear systems, there are fuzzy dynamic programming and various fuzzy non-linear programming techniques. Many of these techniques can generally be divided into two types. One is based on the original crisp approach with the addition of fuzzy aspects and the other handles the fuzzy problem directly, which frequently forms completely new approaches. One good example is the newly formed possibility programming.