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

Abstract

Listen

Translate article

AHP (Analytic Hierarchy Process) is a popular technique often used to model subjective decision-making processes based on multiple attributes; Hwang and Yo on (1981) originally proposed TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) approach to solve multiple attribute decision-making problems using the concept of optimal compromise solution. Lai et al. (1994) further utilized the Euclidean distance concept to drive the TOPSIS approach for MODM problems. In this research, we introduced a multiobjective compromise optimization method integrating AHP with TOPSIS to evaluate the development strategies of nanotechnology for enhancing the global 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 assumes that the optimal solution should have the shortest distance from the positive ideal solution as well as the farthest distance from the negative ideal solution. We apply this method to evaluate the synergy among proposed strategies for industrialized nanotechnology.