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Develop a ranking algorithm for the green building project

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  • Che-Wei Chang

Abstract

Because of the social and economic evolution, the density of the buildings in cities of Taiwan has become higher and higher. Once inappropriate buildings or construction productivity are overgrown, it will make a great impact on the ecological environment of the Earth. Besides, the changes in the earth climate have a degree of connection with deteriorated weather, exhausted resources and the lowered quality of public hygiene. In order to make constructions and it environment co-exist and have their mutual benefits, to avoid building procedure from influencing the ecological environment, producing pollution and wasting energy is important. Therefore, green building becomes a significant influential factor. This study develops a decision model for managing uncertainty and imprecision of green building project evaluation during the structure process. The evaluation is performed by a procedure based on a combination of fuzzy analytic hierarchy process and TOPSIS. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Che-Wei Chang, 2014. "Develop a ranking algorithm for the green building project," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 911-921, March.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:2:p:911-921
    DOI: 10.1007/s11135-012-9812-2
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    References listed on IDEAS

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    1. Cheng-Ru Wu & Che-Wei Chang & Hung-Lung Lin, 2008. "FAHP Sensitivity Analysis for Measurement Nonprofit Organizational Performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(3), pages 283-302, June.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Wang, Ling & Chu, Jian & Wu, Jun, 2007. "Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 107(1), pages 151-163, May.
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