A Topsis-Based Entropic Regularization Approach for Solving Fuzzy Multi-Objective Nonlinear Programming Problems

Liu, Fung-Bao; Hu, Cheng-Feng

doi:10.15807/jorsj.55.235

JORSJ

2012

DOI: 10.15807/jorsj.55.235

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A Topsis-Based Entropic Regularization Approach for Solving Fuzzy Multi-Objective Nonlinear Programming Problems

Fung-Bao Liu

Cheng-Feng Hu²

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2017

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Cited by 1 publication

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Data Envelopment Analysis with Common Weights in a Fuzzy Environment

Liu

2017

Int. J. Unc. Fuzz. Knowl. Based Syst.

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This work considers providing a common base for measuring the relative efficiency of a group of homogeneous decision making units in a fuzzy environment. The principle of compromise of the technique for order preference by similarity ideal solution is employed for solving the data envelopment analysis model with fuzzy objectives and constraints. An algorithm with the entropic regularization implementation for finding the compromise solution of the fuzzy data envelopment analysis model is developed. An illustrative example verifying the idea of this paper is provided. The contribution of this work is represented by the improvement of the discriminatory power of the fuzzy DEA, gained through the common weight evaluation.

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Data Envelopment Analysis with Common Weights in a Fuzzy Environment

Liu

2017

Int. J. Unc. Fuzz. Knowl. Based Syst.

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A Topsis-Based Entropic Regularization Approach for Solving Fuzzy Multi-Objective Nonlinear Programming Problems

Cited by 1 publication

References 23 publications

Data Envelopment Analysis with Common Weights in a Fuzzy Environment

Data Envelopment Analysis with Common Weights in a Fuzzy Environment

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