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Two-Stage Fuzzy DEA Models with Undesirable Outputs for Banking System
Book chapter

Two-Stage Fuzzy DEA Models with Undesirable Outputs for Banking System

Xiaoyang Zhou, Rui Luo, Benjamin Lev and Yan Tu
Proceedings of the Eleventh International Conference on Management Science and Engineering Management, pp 1604-1615
29 Jun 2017
DOI: https://doi.org/10.1007/978-3-319-59280-0_135
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Banking system Constant returns to scale Two-stage DEA Undesirable outputs Variable returns to scale
In this paper, we propose two stage fuzzy DEA models with undesirable outputs to evaluate banking system. The banking system is divided to two subsystems: production stage and profit stage. In the model, two kinds of assumptions (constant returns to scale and variable returns to scale) are considered, and fuzzy parameters are adopted to describe the uncertain factors. Chance constrained operator is used to handle the proposed model and equivalent transformations are given to make the models solvable. We illustrate and validate the proposed models by evaluating 16 Chinese commercial banks. Some discussions are also presented to show the differences and advantages of the models.

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UN Sustainable Development Goals (SDGs)

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#9 Industry, Innovation and Infrastructure

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Information Systems
Management
Operations Research & Management Science
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