An approach to group decision making under uncertainty with application to project selection

1994 ◽  
Vol 51 (3) ◽  
pp. 115-126 ◽  
Author(s):  
George R. Sotirov ◽  
Evdokia B. Krasteva
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Project Selection ◽  
Decision Making Under Uncertainty

A novel two-phase group decision making approach for construction project selection in a fuzzy environment

2012 ◽  
Vol 36 (9) ◽  
pp. 4197-4217 ◽  
Author(s):  
S. Ebrahimnejad ◽  
S.M. Mousavi ◽  
R. Tavakkoli-Moghaddam ◽  
H. Hashemi ◽  
B. Vahdani
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Construction Project ◽  
Project Selection ◽  
Two Phase ◽  
Fuzzy Environment ◽  
Phase Group

Multi-Criteria Project Selection Using an Extended VIKOR Method with Interval Type-2 Fuzzy Sets

2015 ◽  
Vol 14 (05) ◽  
pp. 993-1016 ◽  
Author(s):  
Mehdi Keshavarz Ghorabaee ◽  
Maghsoud Amiri ◽  
Jamshid Salehi Sadaghiani ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Selection Process ◽  
Project Selection ◽  
Real Problem ◽  
Vikor Method ◽  
Criteria Weights ◽  
Interval Type

Project selection can be a real problem of the multi-criteria group decision making if a group of decision makers express their preferences depending on the nature of the alternatives and different criteria with respect to their knowledge about them. The purpose of the project selection process is to analyze project viability and to approve or reject project proposals based on established criteria. Such decisions are often complex, because they require the identification, consideration and analysis of many tangible and intangible factors. This paper presents a multi-criteria group decision-making approach for project selection problem in the type-2 fuzzy environment. The proposed method is an extended version of Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method with interval type-2 fuzzy numbers; it is called type-2 fuzzy VIKOR (T2F-VIKOR). A stepwise procedure is used for ranking and evaluating the alternatives in the developed method, and the best solution is selected considering both the beneficial and nonbeneficial criteria. An illustrative example is presented to show the applicability of the proposed approach in the project selection problems, and the results are analyzed. The results are compared with some existing methods to show the validity of the extended method. We also utilize six sets of criteria weights for analyzing the stability of the proposed method. These analyses show that the obtained results of the proposed method are relatively consistent with other methods and have good stability in different criteria weights.

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