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On solving CCR-DEA problems involving type-2 fuzzy uncertainty using centroid-based optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2015) 9227 187-195
DOI: 10.1007/978-3-319-22053-6_21
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Abstract

In this paper we propose a method for solving Data Envelopment Analysis (DEA) problems involving uncertainty generated by the opinion of multiple experts. Experts opinions define the values of inputs and outputs, and they are handled with interval Type-2 fuzzy sets. The proposed method is an extension of the classic CCR model, solved using a centroid-based strategy to reduce computations.

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APA

Figueroa-García, J. C., & Castro-Cabrera, C. E. (2015). On solving CCR-DEA problems involving type-2 fuzzy uncertainty using centroid-based optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9227, pp. 187–195). Springer Verlag. https://doi.org/10.1007/978-3-319-22053-6_21

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