Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine’s parameters

2022 ◽  
pp. 116419
Author(s):  
Hadi Gholizadeh ◽  
Amir M. Fathollahi-Fard ◽  
Hamed Fazlollahtabar ◽  
Vincent Charles
Keyword(s):  
Data Envelopment Analysis ◽  
Electrical Discharge ◽  
Data Driven ◽  
Data Envelopment ◽  
Fuzzy Data

Fuzzy Data Envelopment Analysis Models with R Codes

2019 ◽  
pp. 163-236
Author(s):  
Farhad Hosseinzadeh Lotfi ◽  
Ali Ebrahimnejad ◽  
Mohsen Vaez-Ghasemi ◽  
Zohreh Moghaddas
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Fuzzy Data Envelopment Analysis ◽  
Analysis Models

A common-weights approach for efficiency evaluation in fuzzy data envelopment analysis with undesirable outputs: Application in banking industry

2020 ◽  
Vol 39 (5) ◽  
pp. 7705-7722
Author(s):  
Mohammad Kachouei ◽  
Ali Ebrahimnejad ◽  
Hadi Bagherzadeh-Valami
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Management ◽  
Banking Industry ◽  
Evaluation Process ◽  
Fuzzy Arithmetic ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Undesirable Outputs ◽  
Dea Model ◽  
The Impact

Data Envelopment Analysis (DEA) is a non-parametric approach based on linear programming for evaluating the performance of decision making units (DMUs) with multiple inputs and multiple outputs. The lack of the ability to generate the actual weights, not considering the impact of undesirable outputs in the evaluation process and the measuring of efficiencies of DMUs based upon precise observations are three main drawbacks of the conventional DEA models. This paper proposes a novel approach for finding the common set of weights (CSW) to compute efficiencies in DEA model with undesirable outputs when the data are represented by fuzzy numbers. The proposed approach is based on fuzzy arithmetic which formulates the fuzzy additive DEA model as a linear programing problem and gives fuzzy efficiencies of all DMUs based on resulting CSW. We demonstrate the applicability of the proposed model with a simple numerical example. Finally, in the context of performance management, an application of banking industry in Iran is presented for analyzing the influence of fuzzy data and depicting the impact of undesirable outputs over the efficiency results.

scholarly journals Fuzzy data envelopment analysis: An adjustable approach

2019 ◽  
Vol 136 ◽  
pp. 439-452 ◽  
Author(s):  
Pejman Peykani ◽  
Emran Mohammadi ◽  
Ali Emrouznejad ◽  
Mir Saman Pishvaee ◽  
Mohsen Rostamy-Malkhalifeh
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Fuzzy Data Envelopment Analysis

Aggregating preference ranking with fuzzy Data Envelopment Analysis

2010 ◽  
Vol 23 (6) ◽  
pp. 512-519 ◽  
Author(s):  
Majid Zerafat Angiz L. ◽  
Ali Emrouznejad ◽  
A. Mustafa ◽  
A.S. Al-Eraqi
Keyword(s):  
Data Envelopment Analysis ◽  
Preference Ranking ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Fuzzy Data Envelopment Analysis
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