Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Ranking fuzzy numbers by preference ratio
Fuzzy Sets and Systems
A method for multiple attribute decision-making with the fuzzy preference relation on alternatives
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
A fuzzy clustering methodology for linguistic opinions in group decision making
Applied Soft Computing
Fuzzy preference relations: Aggregation and weight determination
Computers and Industrial Engineering
Fuzzy hierarchical TOPSIS for supplier selection
Applied Soft Computing
Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft Computing
Computers and Industrial Engineering
Managing project risk using combined analytic hierarchy process and risk map
Applied Soft Computing
Software project portfolio optimization with advanced multiobjective evolutionary algorithms
Applied Soft Computing
Fuzzy multi period portfolio selection with different rates for borrowing and lending
Applied Soft Computing
Robust optimization framework for cardinality constrained portfolio problem
Applied Soft Computing
A portfolio selection model with borrowing constraint based on possibility theory
Applied Soft Computing
Computers and Industrial Engineering
Fuzzy heterogeneous multiattribute decision making method for outsourcing provider selection
Expert Systems with Applications: An International Journal
Fuzzy distance of triangular fuzzy numbers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper, a new hybrid fuzzy multiple criteria group decision making (FMCGDM) approach has been proposed for sustainable project selection. First, a comprehensive framework, including economic, social, and environmental effects of an investment, strategic alliance, organizational readiness, and risk of investment has been proposed for sustainable project selection. As the relative importance of the criteria of the proposed framework are hard to find through several conflictive preferences of a group of Decision Makers (DMs) so, a goal programming (GP) has been supplied to this aim considering multiplicative and fuzzy preference relation. Then, a fuzzy TOPSIS method has been developed to assess the fitness of investment chances. It is based on Preference Ratio (PR), which is known as an efficient ranking method for fuzzy numbers, and a fuzzy distance measurement. The properties of proposed hybrid approach make it robust for modeling real case of uncertain group decision making problems. The FMCGDM has been developed through a linkage between Lingo 11.0, MS-Excel 12.0, and Visual Basic 6.0. The proposed hybrid approach has been applied in a real case study called Iranian financial and credit institute for sustainable project selection.