Self-organizing maps
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A Nonlinear Mapping for Data Structure Analysis
IEEE Transactions on Computers
Information Sciences: an International Journal
An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A weighted additive fuzzy programming approach for multi-criteria supplier selection
Expert Systems with Applications: An International Journal
Supplier selection using a novel intuitionist fuzzy clustering approach
Applied Soft Computing
Supplier selection using axiomatic fuzzy set and TOPSIS methodology in supply chain management
Fuzzy Optimization and Decision Making
A simulation based supply partner selection decision support tool for service provision in Dell
Computers and Industrial Engineering
Supply chain outsourcing risk using an integrated stochastic-fuzzy optimization approach
Information Sciences: an International Journal
An integrated fuzzy-grey based approach to group decision making problem for a wagon company
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Supplier selection is one of the most crucial components of the purchasing function, being essential to improve the entity's competitiveness and to increase customer's satisfaction. There are different proposals to perform this task, being the added-value perspective one of the most interesting. This approach uses both quantitative and qualitative data for supplier selection, being its main aim to calculate the ability of the supplier to create value for the customer. However, difficulties in the measurement of qualitative items usually avoid its application, reducing the firm's capacity to improve efficiency. To solve this problem, we intend to combine both types of data, using Fuzzy Theory and new emergent paradigms, to obtain an overall ranking of suppliers' suitability.