Integrating the Cluster Analysis and Fuzzy Analytic Network Process with Dynamic Programming Approach for Determining the Optimal Sustainable Community Management Decisions

Rural community development only fulfills in individual or dispersed way and makes the community development non-efficiency while we think it is towards sustainable community. Generally speaking, we often neglect local features and opinion responses in a dynamical and real-time from local managers and residents.

Many researchers considered it in a static viewpoint and use statistical methods, for example, factor analysis, Fuzzy Analytic Hierarchy Process, or plan development of city and rural from top to down. In community researches, such as incomes from local community, ecological environmental quality, advantage of social culture, available budget etc. are very uncertain, and make managing community more complicated. In this study, instead of sparse or single community study, we assort similar community features using cluster analysis, and adopt a strategy which consists of decisions on economical income, social facilities and environmental protection activities for an existing community over a long time horizon, in order to guarantee sustainability, maximizing the expected profit, referring to ecological objectives and the public’s acceptance of decisions.