International Journal of Environmental Science and Development

Abstract—In a renewable energy for buildings project, the owner needs the different contractors to complete it. In order to ensure the project’s quality, we need a decision framework of renewable energy for buildings contractors selection. Currently, few research papers study contracting problems from the owners’ perspectives, but from the contractors’ about the renewable energy for buildings. Hence, This paper is first to summarize the influence factors of the renewable energy building contractors selection from the owners’ perspectives, establish the basic conditions to screen the contractors and select the appropriate contractors from the aspects of business and technology. Then we use the Fuzzy AHP(Fuzzy Analytic Hierarchy Process) to determine the relative weights of the evaluation criteria and IFS-TOPSIS (the Intuitionistic Fuzzy Set Technique for Order Preference by Similarity to Ideal Solution) to rank the alternatives. Based on the aforementioned contents, the decision framework of renewable energy building contractors selection is established. The advantages of this decision framework have two: first, it can offer the contractors selection direction for the owners of renewable energy building; second, this decision framework can solve the information loss problem which will affect the reasonability and accuracy of the decision result. Finally, a China’s case study proves this decision framework is effective.

Index Terms—Bid system, evaluation bid, renewable energy for buildings, intuitionistic fuzzy set (IFS), fuzzy analytic hierarchy process （FAHP）, technique for order preference by similarity to ideal solution (TOPSIS).

The authors are with North China Electric Power University, College of Economic and Management, No.2, Bei Nong Road, Hui Longguan Town, Chang Ping District, Beijing, China (e-mail: wu_yunna@163.com, 464345819@qq.com, gengshuai1208@163.com).

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Cite: Yunna Wu, Zhen Wang, and Shuai Geng, "Study on the Bid Decision System of Renewable Energy for Buildings Based on FAHP and Intuitionistic Fuzzy Set TOPSIS Method," International Journal of Environmental Science and Development vol. 7, no. 9, pp. 634-641, 2016.