Paper Info
Title
A Dynamic Fuzzy Approach Based On The Edas Method For Multi-Criteria Subcontractor Evaluation
Abstract
Selection of appropriate subcontractors for outsourcing is very important for the success of construction projects. This can improve the overall quality of projects and promote the qualification and reputation of the main contractors. The evaluation of subcontractors can be made by some experts or decision-makers with respect to some criteria. If this process is done in different time periods, it can be defined as a dynamic multi-criteria group decision-making (MCGDM) problem. In this study, we propose a new fuzzy dynamic MCGDM approach based on the EDAS (Evaluation based on Distance from Average Solution) method for subcontractor evaluation. In the procedure of the proposed approach, the sets of alternatives, criteria and decision-makers can be changed at different time periods. Also, the proposed approach gives more weight to newer decision information for aggregating the overall performance of alternatives. A numerical example is used to illustrate the proposed approach and show the application of it in subcontractor evaluation. The results demonstrate that the proposed approach is efficient and useful in real-world decision-making problems.
Year
DOI
Venue
2018
10.3390/info9030068
INFORMATION
Keywords
Field
DocType
multi-criteria decision-making, group decision-making, subcontractor evaluation, MCDM, MADM, fuzzy sets, fuzzy EDAS
EDAS,Multiple-criteria decision analysis,Computer science,Fuzzy logic,Outsourcing,Operations research,Fuzzy set,Artificial intelligence,Machine learning,Group decision-making,Reputation
Journal
Volume
Issue
Citations 
9
3
2
PageRank 
References 
Authors
0.42
14
5
Name
Order
Citations
PageRank
Mehdi Keshavarz Ghorabaee1573.62
Maghsoud Amiri2819.31
Edmundas Kazimieras Zavadskas350049.88
Zenonas Turskis418115.67
Jurgita Antucheviciene512113.99