Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method
Abstract In this research, we proposed a fuzzy multi-criteria decision making method which is applied for ranking the life cycle sustainability performance of different pavement alternatives constructed with hot-mix and warm-mix asphalt mixtures. This method consisted of four different techniques such as the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to select the best pavement alternative, the intuitionistic fuzzy entropy method to identify the importance of phases and criteria, the intuitionistic fuzzy weighted geometric averaging operator to establish a sub-decision making matrix based on weights of attribute, and the intuitionistic fuzzy weighted arithmetic averaging operator to build a super decision matrix depending on weights of different life cycle phases. Based on research findings, a synthetic wax-type warm-mix asphalt additive is selected as the best alternative among the pavement alternatives. In addition, conventional hot-mix asphalt is found to be the second best option compared to other mixtures.
Highlights We proposed a fuzzy MCDM method which is designed for pavement selection problem. Intuitionistic fuzzy entropy and intuitionistic fuzzy averaging operators are used. The pavements are ranked based on their life cycle sustainability performance. Wax-type warm-mix asphalt is selected as the best alternative.
Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method
Abstract In this research, we proposed a fuzzy multi-criteria decision making method which is applied for ranking the life cycle sustainability performance of different pavement alternatives constructed with hot-mix and warm-mix asphalt mixtures. This method consisted of four different techniques such as the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to select the best pavement alternative, the intuitionistic fuzzy entropy method to identify the importance of phases and criteria, the intuitionistic fuzzy weighted geometric averaging operator to establish a sub-decision making matrix based on weights of attribute, and the intuitionistic fuzzy weighted arithmetic averaging operator to build a super decision matrix depending on weights of different life cycle phases. Based on research findings, a synthetic wax-type warm-mix asphalt additive is selected as the best alternative among the pavement alternatives. In addition, conventional hot-mix asphalt is found to be the second best option compared to other mixtures.
Highlights We proposed a fuzzy MCDM method which is designed for pavement selection problem. Intuitionistic fuzzy entropy and intuitionistic fuzzy averaging operators are used. The pavements are ranked based on their life cycle sustainability performance. Wax-type warm-mix asphalt is selected as the best alternative.
Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method
Kucukvar, Murat (Autor:in) / Gumus, Serkan (Autor:in) / Egilmez, Gokhan (Autor:in) / Tatari, Omer (Autor:in)
Automation in Construction ; 40 ; 33-43
27.12.2013
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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