Choquet integral and fuzzy measures on locally compact space
Fuzzy Sets and Systems
Multidimensional data in multidimensional scaling using the analytic network process
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Vendor selection in outsourcing
Computers and Operations Research
Information Sciences: an International Journal
Inventory lot-sizing with supplier selection using hybrid intelligent algorithm
Applied Soft Computing
Expert Systems with Applications: An International Journal
Analytic network process and multi-period goal programming integration in purchasing decisions
Computers and Industrial Engineering
Developing a hybrid multi-criteria model for selection of outsourcing providers
Expert Systems with Applications: An International Journal
Application of fuzzy analytic network process for supplier selection in a manufacturing organisation
Expert Systems with Applications: An International Journal
A combined methodology for supplier selection and performance evaluation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Identification of general fuzzy measures by genetic algorithmsbased on partial information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Integrating DANP and modified grey relation theory for the selection of an outsourcing provider
Expert Systems with Applications: An International Journal
A VIKOR technique based on DEMATEL and ANP for information security risk control assessment
Information Sciences: an International Journal
Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach
Information Sciences: an International Journal
An approach to generalization of fuzzy TOPSIS method
Information Sciences: an International Journal
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Decisions related to supplier improvement and selection are inherently multiple criteria decision making (MCDM) problems and are strategically important to companies. Although efforts have been made to discover systematic methods to select the proper supplier, these efforts have assumed that the criteria are independent, which is not actually the case. Some studies that have treated the criteria as interdependent use additive models to obtain aggregate performance. We propose a novel fuzzy integral-based model that addresses the interdependence among the various criteria and employs the non-additive gap-weighted analysis. The structure of the relationships among the criteria and the criteria weights are developed using Decision Making Trial and Evaluation Laboratory (DEMATEL) combined with a fundamental concept of an analytic network process (ANP) called DANP. The fuzzy integral is then used to aggregate the gaps using the weights obtained from the DANP. The proposed model addresses the shortcomings of prior models and provides a more reasonable representation of the real world. The method is demonstrated using supplier evaluation and improvement data from a Taiwanese company.