Aggregating preference ranking with fuzzy Data Envelopment Analysis

Authors:
Majid Zerafat Angiz L.;Ali Emrouznejad;A. Mustafa;A. S. Al-Eraqi
Affiliations:
School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia and Department of Mathematics, Islamic Azad University, Firouzkooh, Iran;Aston Business School, Aston University, Birmingham B4 7ET, UK;School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia;Department of Computer Science and Engineering, College of Engineering, University of Aden, Yemen Republic
Venue:
Knowledge-Based Systems
Year:
2010

Citing 14
Cited 11

Heuristics for ranking players in a round robin tournament

Computers and Operations Research
A data envelopment model for aggregating preference rankings

Management Science
A procedure for ranking efficient units in data envelopment analysis

Management Science
The appropriate total ranking method using DEA for multiple categorized purposes

Journal of Computational and Applied Mathematics - Special issue: Papers presented at the 1st Sino--Japan optimization meeting, 26-28 October 2000, Hong Kong, China
Aggregation of web search engines based on users' preferences in WebFusion

Knowledge-Based Systems
Compromise ratio method for fuzzy multi-attribute group decision making

Applied Soft Computing
A fuzzy clustering methodology for linguistic opinions in group decision making

Applied Soft Computing
A fuzzy-based military officer performance appraisal system

Applied Soft Computing
Discriminating DEA efficient candidates by considering their least relative total scores

Journal of Computational and Applied Mathematics
MP-OWA: The most preferred OWA operator

Knowledge-Based Systems
Fuzzy aggregation and averaging for group decision making: A generalization and survey

Knowledge-Based Systems
Selecting the most preferable alternatives in a group decision making problem using DEA

Expert Systems with Applications: An International Journal
An integrated multi-objective optimisation and fuzzy multi-attributive group decision-making technique for subdivision arrangement of Ro-Ro vessels

Applied Soft Computing
Decider: A fuzzy multi-criteria group decision support system

Knowledge-Based Systems

Ranking efficient decision-making units in data envelopment analysis using fuzzy concept

Computers and Industrial Engineering
Learning to rank with document ranks and scores

Knowledge-Based Systems
Fuzzy data envelopment analysis: A discrete approach

Expert Systems with Applications: An International Journal
A two-grade approach to ranking interval data

Knowledge-Based Systems
Fuzzy stochastic data envelopment analysis with application to base realignment and closure (BRAC)

Expert Systems with Applications: An International Journal
Ranking alternatives in a preferential voting system using fuzzy concepts and data envelopment analysis

Computers and Industrial Engineering
Learning conditional preference network from noisy samples using hypothesis testing

Knowledge-Based Systems
Productivity Growth and Efficiency Measurements in Fuzzy Environments with an Application to Health Care

International Journal of Fuzzy System Applications
Fuzzy interpretation of efficiency in data envelopment analysis and its application in a non-discretionary model

Knowledge-Based Systems
Efficient gradient descent algorithm for sparse models with application in learning-to-rank

Knowledge-Based Systems
Chance-constrained DEA models with random fuzzy inputs and outputs

Knowledge-Based Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Selecting the best alternative in a group decision making is a subject of many recent studies. The most popular method proposed for ranking the alternatives is based on the distance of each alternative to the ideal alternative. The ideal alternative may never exist; hence the ranking results are biased to the ideal point. The main aim in this study is to calculate a fuzzy ideal point that is more realistic to the crisp ideal point. On the other hand, recently Data Envelopment Analysis (DEA) is used to find the optimum weights for ranking the alternatives. This paper proposes a four stage approach based on DEA in the Fuzzy environment to aggregate preference rankings. An application of preferential voting system shows how the new model can be applied to rank a set of alternatives. Other two examples indicate the priority of the proposed method compared to the some other suggested methods.