WEIGHTS OPTIMIZATION REQUIREMENTS OF A PRODUCT USING A FUZZY ANALYTIC HIERARCHY PROCESS ALGORITHM

Analytic Hierarchy Process algorithm is a tool for multi-criteria ranking of issues, based on a set of requirements. Weights, accompanying each requirement are dependent on each other. The dependence degree is approximated by the used Analytic Hierarchy Process method. Optimization of this approximation algorithm can be done using a Fuzzy Analytic Hierarchy Process. In this paper we proposed a dual algorithm with a Fuzzy Analytic Hierarchy Process ranking. In this respect we used the increase ordering of triangular fuzzy numbers, using the average rule. The first is to assign ranking in ascending order, one each fuzzy number in terms of their requirements which it was within a system. The second ranking is done using values and eigenvector that lead us to calculate the default share for each requirement. These weights are used as inputs in Quality Function Deployment.