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

• Published in: Renewable & sustainable energy reviews Vol. 81; pp. 682 - 692
• Main Authors: Tian, Guangdong, Zhang, Honghao, Feng, Yixiong, Wang, Danqi, Peng, Yong, Jia, Hongfei
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.01.2018
• Subjects: Analytical hierarchy process (AHP); Green decoration materials; Grey correlation; Interior environment characteristics; Selection; TOPSIS; Grey correlation; TOPSIS; Analytical hierarchy process (AHP); Selection; Green decoration materials; Interior environment characteristics
• ISSN: 1364-0321; 1879-0690
• DOI: 10.1016/j.rser.2017.08.050

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.