Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Expert Systems with Applications: An International Journal
Group decision making process for supplier selection with VIKOR under fuzzy environment
Expert Systems with Applications: An International Journal
Extension of the ELECTRE method based on interval-valued fuzzy sets
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Digital Information Forensics
Fuzzy VIKOR with an application to water resources planning
Expert Systems with Applications: An International Journal
Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment
Mathematical and Computer Modelling: An International Journal
An extension of TOPSIS for group decision making
Mathematical and Computer Modelling: An International Journal
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This paper presents a novel compromise solution method for solving fuzzy group decision-making problems by a group of experts, which can determine the best alternative by considering both conflicting quantitative and qualitative evaluation criteria in real-life applications. The compromise solution method is developed based on the concept that the chosen alternative should be as close as possible to the positive ideal solution and as far away from the negative ideal solution as possible concurrently. The performance rating values of alternatives versus conflicting criteria as well as the weights of criteria are described by linguistic variables with multi-judges and are converted to triangular fuzzy numbers. Then, a new collective index is introduced to distinguish among potential alternatives in the assessment process with respect to subjective judgment and objective information. Finally, a real case study and an application example for a contractor selection problem are provided in construction industry to demonstrate the implementation process of the proposed method.