Green decoration materials selection under interior environment characteristics: A grey-correlation based hybrid MCDM method

Guangdong Tian, Honghao Zhang, Yixiong Feng, Danqi Wang, Yong Peng and Hongfei Jia

Renewable and Sustainable Energy Reviews, 2018, vol. 81, issue P1, 682-692

Abstract: Materials selection, as a essential link for manufacturing enterprises, has an important driving-force to comprehensively upgrade material properties and service life, especially in building and decoration fields. To qualitatively select the optimal green decoration materials, a hybrid multi-criteria decision making (MCDM) approach integrating analytical hierarchy process (AHP) and grey correlation technique for order performance by similarity to ideal solution (GC-TOPSIS) is proposed. The weights vector of hierarchical index structure, which is established based on interior environmental characteristics, i.e., physiological comfort, psychological satisfaction and interior environmental effect, is determined by AHP. GC-TOPSIS is applied to obtain the final ranking of green decoration materials to select the optimal one. A case study, i.e., 10 kinds of solid woods, is illustrated to validate the proposed method. Additionally, a sensitivity analysis of nine experiments is carried out to monitor the robustness of solution ranking to changes. The results proved that this method furnishes an rational and efficient decision support tool for performance assessment of green decoration materials.

Keywords: Green decoration materials; Analytical hierarchy process (AHP); Grey correlation; TOPSIS; Interior environment characteristics; Selection (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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DOI: 10.1016/j.rser.2017.08.050

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