Combination of a fuzzy analytic hierarchy process (FAHP) with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for fashion design scheme evaluation

Abstract

The purpose of this study is to propose a fuzzy analytic hierarchy process to calculate the criteria weight for evaluating fashion design schemes. The criteria weight is used in the synthetic evaluation method to calculate the index value of each scheme for the selection of the best fashion design. There are four schemes and eight criteria to be evaluated. These four schemes are Academy Look (scheme 1), Country Girl (scheme 2), Ballerina (scheme 3), and Gypsy Girl (scheme 4). The eight criteria are Fashion Forecast, Theme Story, Best-seller Modification, New Idea, Product Position, User Value, Opponent Ability, and Brand Image. To test consistency, another method called the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is also proposed to calculate the index value of each scheme for the best selection of the fashion design. We find out that the TOPSIS works better than the synthetic evaluation in the selection of fashion design scheme. The TOPSIS uses the concept of the positive-ideal solution and the negative-ideal solution. This method differentiates significantly one scheme from another. This feature makes it much easier for the fashion designer in the selection of the best fashion design.