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2(2), (2023):94-99. DOI: https://doi.org/10.46632/jdaai/2/2/13
Nivetha Martin, N. Ramila Gandhi, P. Pandiammal
Decision making on material selection is quite an inevitable task in the construction industry. This research work discusses the taxonomy method of decision making under a fuzzy environment. A decision-making model is developed to make optimal selection of construction materials based on five core criteria. The representations using fuzzy facilitates flexible decision making in material selection-based problems. A decision matrix with linguistic values representing the criterion satisfaction of the alternatives is subjected to the proposed method of fuzzy taxonomy to derive the optimal ranking results of the construction materials that are considered as the alternatives. The consistency of the ranking results using fuzzy taxonomy is found to be more consistent when compared with other fuzzy based decision-making methods. The efficiency of fuzzy representations is more promising and this will definitely support the decision makers to endure the hurdles and commotions in material selection
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Nivetha Martin, N. Ramila Gandhi, P. Pandiammal, “Fuzzy Taxonomy Based Optimal Decision Making on Construction Materials”, REST Journal on Data Analytics and Artificial Intelligence, 2(2), (2023):94-99.