Multiple objective compromise optimization method to analyze the development strategies of nanotechnology in Taiwan

Abstract

In this research, we proposed a multi-objective compromise optimization method integrating AHP with TOPSIS. This method was then applied to evaluate alternative development strategies of nanotechnology intend for enhancing the global competitive position of Taiwan. Firstly, fuzzy hierarchy analytic process was used to derive the relative weights of the considered criteria from participated evaluators, and then the synthetic value were aggregated by criteria weights with performance score which assigned by participant's subjective judgment. This proposed method assumed that the optimal solution had the shortest distance from the positive ideal solution as well as the farthest distance from the negative ideal solution.