Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy multiple attribute decision making: a review and new preference elicitation techniques
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Defuzzification: criteria and classification
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
A hybrid approach to supplier selection for the maintenance of a competitive supply chain
Expert Systems with Applications: An International Journal
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
The revised method of ranking fuzzy numbers with an area between the centroid and original points
Computers & Mathematics with Applications
Ranking fuzzy numbers with an area method using radius of gyration
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
Computers & Mathematics with Applications
Analytic network process and multi-period goal programming integration in purchasing decisions
Computers and Industrial Engineering
Ranking fuzzy numbers with preference weighting function expectations
Computers & Mathematics with Applications
A fuzzy extension of Saaty's priority theory
Fuzzy Sets and Systems
The revised method of ranking LR fuzzy number based on deviation degree
Expert Systems with Applications: An International Journal
Ranking of fuzzy numbers by sign distance
Information Sciences: an International Journal
IEEE Transactions on Fuzzy Systems
A hybrid MCDM model for strategic vendor selection
Mathematical and Computer Modelling: An International Journal
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Suppliers are an important component of the supply chain. Their ability and performance are what largely determine the success or failure of the supply chain. Thus the evaluation of suppliers has become a very important part of the supply chain management of a company. This paper suggests a multiple levels multiple criteria decision making (MCDM) model under fuzzy environment to evaluate and select suppliers, where a general hierarchical structure is developed to depict the relationship among parent criteria and their sub-criteria and sub-sub-criteria and so on. These criteria are classified into quantitative and qualitative ones. The ratings of alternatives versus qualitative criteria and the importance weights of all criteria in the hierarchical structure are assessed in linguistic values represented by triangular fuzzy numbers. The ranking approach of center of area is suggested to rank all the fuzzy numbers before their weighted ratings aggregation. The final evaluation values of alternatives can then be obtained through the additive weighted ratings from the last to the first level in the criteria structure. Finally a numerical example demonstrates the feasibility of the proposed model.