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: email@example.com, firstname.lastname@example.org, email@example.com).
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.