Koeksalan, Murat
Tuncer, Ceren
We propose a data envelopment analysis (DEA)-based approach to ranking multi-criteria alternatives. We call it "the area of the efficiency score graph" (AES) approach. Unlike the classical DEA score and D(k) measure that counts the number of DMUs (alternatives in DEA terminology) that should be removed from the set for each DMU k to become efficient, AES is not fully dependent on relative values of inputs/outputs of the alternatives in the set. It considers the change in efficiency scores of the alternatives while we delete 0, ... , D(k) number of alternatives from the set. The method avoids the negative effect of outliers and crowding in certain areas. It favors DMUs that manage to improve their efficiency scores quickly as we delete units from the set, and also alternatives that maintain high levels of efficiency scores as we delete units. We propose inclusion of weight restrictions into AES to incorporate decision maker preferences into the analysis. We apply our approach to ranking MBA programs. We provide rank lists of MBA programs by both AES and another DEA-based method for comparison. We also use AES scores to place programs in a small number of classes that are preference ordered from the best to the worst.


A DEA-based approach to ranking multi-criteria alternatives
Tuncer, Ceren; Köksalan, Murat; Department of Industrial Engineering (2006)
This thesis addresses the problem of ranking multi-criteria alternatives. A Data Envelopment Analysis (DEA)-based approach, the Method of the Area of the Efficiency Score Graph (AES) is proposed. Rather than assessing the alternatives with respect to the fixed original alternative set as done in the existing DEA-based ranking methods, AES considers the change in the efficiency scores of the alternatives while reducing the size of the alternative set. Producing a final score for each alternative that account...
An approach for landslide risk assesment by using geographic information systems (gis) and remote sensing (rs)
Erener, Arzu; Düzgün, H. Şebnem; Department of Geodetic and Geographical Information Technologies (2009)
This study aims to develop a Geographic Information Systems (GIS) and Remote Sensing (RS) Based systematic quantitative landslide risk assessment methodology for regional and local scales. Each component of risk, i.e., hazard assessment, vulnerability, and consequence analysis, is quantitatively assessed for both scales. The developed landslide risk assessment methodology is tested at Kumluca watershed, which covers an area of 330 km2, in Bartın province of the Western Black Sea Region, Turkey. GIS and RS t...
Hybrid ranking approaches based on data envelopment analysis and outranking relations
Eryılmaz, Utkan; Karasakal, Esra; Department of Industrial Engineering (2006)
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 suc...
Using data analytics for collaboration patterns in distributed software team simulations
Dafoulas, Georgios A.; Serce, Fatma C.; SWİGGER, Kathleen; BRAZİLE, Robert; Alpaslan, Ferda Nur; Alpaslan, Ferda Nur; Milewski, Allen (2016-08-05)
This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of variou...
Optimization of long-term investments of electric distribution systems considering planning metrics
KOC, Mehmet; TOR, Osman Bulent; CEBECI, Mahmut Erkut; Güven, Ali Nezih; GULER, Firat; TASKIN, Hacer; TUNCER, Atiye; OKUL, Ufuk (2017-04-21)
This paper presents a dynamic planning algorithm methodology which optimizes long-term primary electric distribution network investments considering planning metrics. An algorithm which calculates a representative primary network model of distribution grids, whose primary and secondary networks are intricate, is developed. It is aimed to facilitate assessment of primary distribution network investment requirements and thereby defining grid investment candidates effectively. A planning algorithm, which consi...
Citation Formats
M. Koeksalan and C. Tuncer, “A DEA-BASED APPROACH TO RANKING MULTI-CRITERIA ALTERNATIVES,” INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, pp. 29–54, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65967.