Finding the most preferred decision-making unit in data envelopment analysis
type: Item
instance of: scholarly article
title: Finding the most preferred decision-making unit in data envelopment analysis
zbMATH Open document ID: 1387.90106
DOI: 10.1155/2016/7171467
author: Shirin Mohammadi
author: S. M. Mirdehghan
author: G. R. Jahanshahloo
published in: Advances in Operations Research
publication date: 2018-05-11T00:00:00Z
review text: Summary: Data envelopment analysis (DEA) evaluates the efficiency of the transformation of a decision-making unit's (DMU's) inputs into its outputs. Finding the benchmarks of a DMU is one of the important purposes of DEA. The benchmarks of a DMU in DEA are obtained by solving some linear programming models. Currently, the obtained benchmarks are just found by using the information of the data of inputs and outputs without considering the decision-maker's preferences. If the preferences of the decision-maker are available, it is very important to obtain the most preferred DMU as a benchmark of the under-assessment DMU. In this regard, we present an algorithm to find the most preferred DMU based on the utility function of decision-maker's preferences by exploring some properties on that. The proposed method is constructed based on the projection of the gradient of the utility function on the production possibility set's frontier.
Mathematics Subject Classification ID: 90B50
zbMATH DE Number: 6867689
Wikidata QID: Q59122794
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/7171467
OpenAlex ID: W2560095421
cites work: Estimating preferred target input-output levels using data envelopment analysis
cites work: Data Envelopment Analysis with Preference Structure
cites work: FINDING THE REFERENCE SET OF A DECISION MAKING UNIT
cites work: On the identification of the global reference set in data envelopment analysis
cites work: Q4274235
cites work: Relationships between Data Envelopment Analysis and Multicriteria Decision Analysis
cites work: An Interactive MOLP Procedure for the Extension of DEA to Effectiveness Analysis
cites work: Restricting Weight Flexibility in Data Envelopment Analysis
cites work: Performance benchmarking using interactive data envelopment analysis
cites work: Structural comparison of data envelopment analysis and multiple objective linear programming
cites work: Using interactive multiobjective methods to solve DEA problems with value judgements
cites work: Interactive minimax optimisation for integrated performance analysis and resource planning
cites work: Preference modelling by estimating local utility functions for multiobjective optimization
cites work: Gradient projection and local region search for multiobjective optimisation
cites work: Minimax reference point approach and its application for multiobjective optimisation
cites work: Integrating DEA-oriented performance assessment and target setting using interactive MOLP methods
cites work: Finding strong defining hyperplanes of PPS using multiplier form
DBLP publication ID: journals/advor/MohammadiMJ16
description: scientific article; zbMATH DE number 6867689