Using genetic algorithm improve the consistency of fuzzy analytic hierarchy process

The purpose of decision analysis is to find appropriate alternatives among decision makers´ choices, values and judgments. Of all the alternatives, analytic hierarchy process (AHP) is a widely used decision making method in recent years. Since AHP does not deal with uncertain problems in which people make decisions subjectively, there are scholars combining one with fuzzy set theory. Fuzzy analytic hierarchy process (FAHP) is thus formed. In practice, when we retrieve FAHP questionnaires, they often result in inconsistency,. The main purpose of this paper is to use genetic algorithm (GA) to improve the unacceptable in consistency of FAHP, and reduce its inconsistency to be less than 0.1. Finally, the result will compare with those of the related researches´ methods. We expect this research can accommodate every decision maker when using FAHP questionnaires.