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Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique

Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique

Mohamed Marzouk, Mohamed Abd El-Razek
Copyright: © 2017 |Volume: 6 |Issue: 2 |Pages: 20
ISSN: 1947-928X|EISSN: 1947-9298|EISBN13: 9781522513506|DOI: 10.4018/IJNCR.2017070103
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MLA

Marzouk, Mohamed, and Mohamed Abd El-Razek. "Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique." IJNCR vol.6, no.2 2017: pp.38-57. http://doi.org/10.4018/IJNCR.2017070103

APA

Marzouk, M. & El-Razek, M. A. (2017). Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique. International Journal of Natural Computing Research (IJNCR), 6(2), 38-57. http://doi.org/10.4018/IJNCR.2017070103

Chicago

Marzouk, Mohamed, and Mohamed Abd El-Razek. "Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique," International Journal of Natural Computing Research (IJNCR) 6, no.2: 38-57. http://doi.org/10.4018/IJNCR.2017070103

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Abstract

This article describes how in developing countries, millions of tons of construction and demolition wastes (CDWs) are lost every year due to lack of knowledge of recycling significance and/or procedures. Despite the high value of CDWs, high percentage of this waste is either dumped illegally or disposed in the landfills. Disposal methods should consider saving natural resources and maintaining the environmental conditions through maximizing the value of CDWs. This article aims at choosing the most sustainable disposal alternative using Multi-Criteria Decision Making (MCDM) Process, considering several sustainability measure indicators. The research introduces a list containing the most relevant and significant sustainable indicators that affect the selection of alternative for disposal of CDWs. Then, fuzzy TOPSIS technique is applied considering the significant indicators on each alternative to rank and choose the best alternative for disposal of CDWs.

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