Global warming and extreme weathers are present in recent years, and an increase in drought, flood, glacier melting, ice cap shrinking and sea level rising is observed in various places throughout the world. Such dramatic changes in weather have brought severe impact to the global ecology. The earthquake in Japan in March 11, 2011, caused tsunami and then nuclear disaster, with heavy causalities. To confront such environmental changes and to maintain sustainable development, environmental awareness must be stressed, and renewable energy is a must. In addition, fuel resource depletes substantially, and fuel price skyrockets consistently. Therefore, solar power and wind power become primary renewable energy sources. This research aims to tackle the solar power plant site selection problem in Taiwan. To consider this multi-attribute decision making problem with economic efficiency, government and environment issues, this research uses decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP) to incorporate the interrelationships among the criteria, and adopts the Yager's ranking method to consider the fuzziness in decision making. The weights of various criteria and the ranking of the sites can be obtained. The results can provide power plants for setting up plant sites in the most appropriate locations.