Multi-attribute decision making in contractor selection under hybrid uncertainly

Arbaiy , Nureize and Junzo Watada, Junzo Watada (2011) Multi-attribute decision making in contractor selection under hybrid uncertainly. Journal of Advanced Computational Intelligence and Intelligent Informatics, 15 (4). pp. 465-472.

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Abstract

The successful of a construction industry project depends on contractor evaluation and selection. Further, human judgment and unknown evaluation risk make evaluation and selection increasingly complex. Such situations show that a contractor selection is influenced by multiple attributes that often have the hybrid uncertainty of fuzziness and probability. The objective of this study is therefore to propose a fuzzy random variable based multi-attribute decision scheme that enables us to solve such problems within the bounds of hybrid uncertainty by using a fuzzy random regression model. The proposed model is explained in examples and its usefulness is clarified. This decision model is facilitated in its use by evaluating alternatives and enables us to indicate the optimum choice in the presence of hybrid uncertainty.

Item Type:Article
Uncontrolled Keywords:multi-attribute evaluation; fuzzy random variables; fuzzy random regression; contractor selection
Subjects:T Technology > TS Manufactures > TS1-154 Manufactures
Divisions:Faculty of Computer Science and Information Technology > Department of Software Engineering
ID Code:2967
Deposited By:Normajihan Abd. Rahman
Deposited On:07 Feb 2013 14:09
Last Modified:22 Jan 2015 08:36

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