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Symmetry 2018, 10(1), 22; https://doi.org/10.3390/sym10010022

Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products

Department of Business Administration, University of Oviedo, Gijón Campus, 33203 Gijón, Spain
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Received: 12 December 2017 / Revised: 27 December 2017 / Accepted: 3 January 2018 / Published: 10 January 2018
(This article belongs to the Special Issue Symmetry in Fuzzy Sets and Systems)
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Abstract

This paper designs a bidding and supplier evaluation model focused on strategic product procurement, and develops their respective evaluation knowledge bases. The model is built using the most relevant variables cited in the reviewed procurement literature and allows to compare two evaluation methods: a factor weighting method (WM) and a fuzzy inference system (FIS). By consulting an expert panel and using a two-tuples symbolic translation system, strong fuzzy partitions for all model variables are built. The method, based on central symmetry, permits to obtain the fuzzy label borders from their cores, which have been previously agreed among experts. The system also allows to agree the fuzzy rules to embed in the FIS. The results show the FIS method’s superiority as it allows to better manage the non-linear behavior and the uncertainty inherent to the supplier evaluation process. View Full-Text
Keywords: bidding; supplier evaluation; supplier selection; multi-criteria decision making; fuzzy inference system; consensus bidding; supplier evaluation; supplier selection; multi-criteria decision making; fuzzy inference system; consensus
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Garcia, N.; Puente, J.; Fernandez, I.; Priore, P. Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products. Symmetry 2018, 10, 22.

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