Introduction to Grey system theory
The Journal of Grey System
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Compromise ratio method for fuzzy multi-attribute group decision making
Applied Soft Computing
Intelligent multi-criteria fuzzy group decision-making for situation assessments
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on BISCSE 2005 " Forging the Frontiers" Part II
Evaluation of software development projects using a fuzzy multi-criteria decision approach
Mathematics and Computers in Simulation
A new fuzzy TOPSIS for fuzzy MADM problems under group decisions
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
The use of grey relational analysis in solving multiple attribute decision-making problems
Computers and Industrial Engineering
Fuzzy multicriteria R&D project selection with a real options valuation model
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Fuzzy theory and technology with applications
Expert Systems with Applications: An International Journal
A decision support system for fuzzy multi-attribute selection of material handling equipments
Expert Systems with Applications: An International Journal
Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment
Expert Systems with Applications: An International Journal
Combining grey relation and TOPSIS concepts for selecting an expatriate host country
Mathematical and Computer Modelling: An International Journal
Risk ranking in mega projects by fuzzy compromise approach: A comparative analysis
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper develops a new Fuzzy Grey Multi-Criteria Group Decision Making FG-MCGDM model to solve evaluation and selection problems under uncertainty in real-life situations. The proposed model is based on a hybridization of fuzzy sets theory, Grey Relational Analysis GRA and compromise solution method. First, linguistic variables are employed to assess performance ratings of alternatives and weights of criteria represented in trapezoidal fuzzy numbers. Then, a new version of the GRA is introduced to solve group decision making problems with conventional fuzzy information, in which correlations are captured between the reference/aspiration-level criteria and alternatives. Consequently, a new ranking index is presented based on the concept of the compromise solution to obtain the ranking order of all alternatives. The solution is determined in terms of several conflicting criteria by considering the degree of grey relation to both the positive-ideal and negative-ideal solutions concurrently. Finally, an illustrative example is provided to verify the FG-MCGDM model and to demonstrate its suitability in manufacturing systems.