doi: 10.18178/ijesd.2016.7.9.853
Study on the Bid Decision System of Renewable Energy for Buildings Based on FAHP and Intuitionistic Fuzzy Set TOPSIS Method
- North China Electric Power University, College of
Abstract
In a renewable energy for buildings project, theowner needs the different contractors to complete it. In order toensure the project’s quality, we need a decision framework ofrenewable energy for buildings contractors selection. Currently,few research papers study contracting problems from theowners’ perspectives, but from the contractors’ about therenewable energy for buildings. Hence, This paper is first tosummarize the influence factors of the renewable energybuilding contractors selection from the owners’ perspectives,establish the basic conditions to screen the contractors and selectthe appropriate contractors from the aspects of business andtechnology. Then we use the Fuzzy AHP(Fuzzy AnalyticHierarchy Process) to determine the relative weights of theevaluation criteria and IFS-TOPSIS (the Intuitionistic FuzzySet Technique for Order Preference by Similarity to IdealSolution) to rank the alternatives. Based on the aforementionedcontents, the decision framework of renewable energy buildingcontractors selection is established. The advantages of thisdecision framework have two: first, it can offer the contractorsselection direction for the owners of renewable energy building;second, this decision framework can solve the information lossproblem which will affect the reasonability and accuracy of thedecision result. Finally, a China’s case study proves this decisionframework is effective.
Keywords
- 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)
How to 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. https://doi.org/10.18178/ijesd.2016.7.9.853
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
