Hybrid ranking approaches based on data envelopment analysis and outranking relations

Download

index.pdf

Date

2006

Author

Eryılmaz, Utkan

Metadata

Show full item record

Item Usage Stats

226
views

78
downloads

In this study two different hybrid ranking approaches based on data envelopment analysis and outranking relations for ranking alternatives are proposed. Outranking relations are widely used in Multicriteria Decision Making (MCDM) for ranking the alternatives and appropriate in situations when we have limited information on the preference structure of the decision maker. Yet to apply these methods DM should provide exact values for method parameters (weights, thresholds etc.) as well as basic information such as alternative scores. DEA is used for classification of decision making units according to their efficiency scores in a non-parameteric way. The proposed hybrid approaches utilize PROMETHEE (a well known method based on outranking relations) to construct outranking relations by pairwise comparisons and a technique similar to DEA crossefficiency ranking for aggregating comparisons. While first of the proposed approaches can deal with imprecise specification of criterion weights, second approach can utilize imprecise weights and thresholds.

Subject Keywords

Industrial engineering.

URI

http://etd.lib.metu.edu.tr/upload/3/12607999/index.pdf
https://hdl.handle.net/11511/16062

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A comparison of data mining methods for prediction and classification types of quality problems Anaklı, Zeynep; Anaklı, Zeynep; Department of Industrial Engineering (2009) In this study, an Analytic Network Process (ANP) and Preference Ranking Organization MeTHod for Enrichment Evaluations (PROMETHEE) based approach is developed and used to compare overall performance of some commonly used classification and prediction data mining methods on quality improvement data, according to several decision criteria. Classification and prediction data mining (DM) methods are frequently used in many areas including quality improvement. Previous studies on comparison of performance of the...
On the service models for dynamic scheduling of multi-class base-stock controlled systems Kat, Bora; Avşar, Zeynep Müge; Department of Industrial Engineering (2005) This study is on the service models for dynamic scheduling of multi-class make-to-stock systems. An exponential single-server facility processes different types of items one by one and demand arrivals for different item types occur according to independent Poisson processes. Inventories of the items are managed by base-stock policies and backordering is allowed. The objective is to minimize base-stock investments or average inventory holding costs subject to a constraint on the aggregate fill rate, which is...
Interval priority weight generation from interval comparison matrices in analytic hierarchy process Öztürk, Ufuk; Karasakal, Esra; Department of Industrial Engineering (2009) In this study, for the well-known Analytic Hierarchy Process (AHP) method a new approach to interval priority weight generation from interval comparison matrix is proposed. This method can be used for both inconsistent and consistent matrices. Also for the problems having more than two hierarchical levels a synthesizing heuristic is presented. The performances of the methods, interval generation and synthesizing, are compared with the methods that are already available in the literature on randomly generate...
Fuzzy classification models based on tanaka’s fuzzy linear regression approach and nonparametric improved fuzzy classifier functions Özer, Gizem; Köksal, Gülser; Department of Industrial Engineering (2009) In some classification problems where human judgments, qualitative and imprecise data exist, uncertainty comes from fuzziness rather than randomness. Limited number of fuzzy classification approaches is available for use for these classification problems to capture the effect of fuzzy uncertainty imbedded in data. The scope of this study mainly comprises two parts: new fuzzy classification approaches based on Tanaka’s Fuzzy Linear Regression (FLR) approach, and an improvement of an existing one, Improved Fu...
Comparison of the resource allocation cababilities of project management software packages in resource constrained project scheduling problems Hekimoğlu, Özge; Serpil, Canan; Department of Industrial Engineering (2007) In this study, results of a comparison on benchmark test problems are presented to investigate the performance of Primavera V.4.1 with its two resource allocation priority rules and MS Project 2003. Resource allocation capabilities of the packages are measured in terms of deviation from the upper bound of the minimum makespan. Resource constrained project scheduling problem instances are taken from PSPLIB which are generated under a factorial design from ProGen. Statistical tests are applied to the results ...

Citation Formats

U. Eryılmaz, “Hybrid ranking approaches based on data envelopment analysis and outranking relations,” M.S. - Master of Science, Middle East Technical University, 2006.