Fuzzy Classification for Solving the Optimal Strategy Combination of Green Engineering Industry with Interdependent Situations

Since World Commission on Environment and Development published the so-called Brundtland Report "Our Common Future" in 1987, and the United Nations Environmental Planning Board presented "Agenda 21" in 1992, sustainable development has become an important part of international and national approaches to integrating economic, environmental, social and ethical considerations so that a good quality of life can be enjoyed by current and future generations for as long as possible. In this study, we focus on employing analytic hierarchy process (AHP) to establish evaluation system, and then exploit fuzzy multi-criteria decision analysis to derive the synthetic values of the sustainable development strategies of green engineering for fishing industry in Taiwan. In order to meet the nature of non-independence among evaluated criteria in real problem, we tried to relax the required independence assumption from traditional AHP approach introducing fuzzy integral technique to explore the development strategies. Furthermore, considering the limitation on resources and with interdependence situation among these strategies, we proposed fuzzy classification method to solve the optimal combination of strategies. These optimal strategy combinations can provide useful information in resources allocation for decision makers.