Tharwat, A. A., B. E. El-Demerdash, and I. A. El-Khodary, "EVALUATING THE PERFORMANCE OF EUROPEAN FOOTBALL TEAMS USING DATA ENVELOPMENT ANALYSIS", Recent Applications of Data Envelopment Analysis, pp. 115, 2017. Abstract
El-Khodary, I. A., B. E. El-Demerdash, and A. A. Tharwat, "An Algorithm for evaluating the performance of higher education organizations in Egypt using stochastic DEA", Performance Management and Measurement with Data Envelopment Analysis, pp. 75–82, 2010. Abstract
Tharwat, A., B. El-Demerdash, and I. El-Khodary, "Developing an Input Oriented Data Envelopment Analysis Model with Fuzzy Uncertainty in Variables", Creative Business and Social Innovations for a Sustainable Future: Springer, pp. 117–122, 2019. Abstract
El-Demerdash, B. E., I. A. El-Khodary, A. A. Tharwat, and E. R. Shaban, "Performance Evaluation of European Football Teams Using Data Envelopment Analysis", 10th International Conference on Informatics and Systems, Giza, Egypt, May 2016. Abstract

Today's competition has become intense not only in business but also in sports. Football is considered one of the most popular sports in the world over the last few decades and highly influential to the global sports industry. In this paper we evaluated the performance of fifty football European teams who have played in the Europa League and/or Champions League in the 2014/15 season while considering their performance in their respective national leagues. The data envelopment analysis (DEA) technique was adopted for this evaluation. DEA is a nonparametric method in operations research used to measure the relative efficiency of comparable institutions and also used for benchmarking in operations management. The analyses revealed that most teams were efficient when considering their performance in both the domestic and international leagues, while a smaller portion of these teams were efficient at the international level only.

El-Demerdash, B. E., I. A. El-Khodary, and undefined, "A Stochastic Data Envelopment Analysis Model Considering Variation in Input and Output Variables", International Journal of Data Envelopment Analysis and *Operations Research*, vol. 2, issue 1, pp. 1-6, 2016. ijdeaor-2-1-1.pdf
El-Demerdash, B. E., I. A. El-Khodary, A. A. Tharwat, and E. R. Shaban, "Performance Assessment of European Football Teams: Using Stochastic Data Envelopment Analysis Model", Journal of Mathematics and System Science, vol. 6, pp. 409-414, 2016. 586ee6d8b6d4b.pdf
El-Demerdash, B. E., I. A. El-Khodary, and A. A. Tharwat, "Performance evaluation for Egyptian’s Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model", International Journal of Computer Applications (IJCA), vol. 89, issue 5, pp. 36-42, 2014. Abstractperformance_evaluation_for_egyptians.pdf

Data Envelopment Analysis (DEA) is a great approach used for measuring relative efficiencies and performance of a collection of Decision Making Units (DMUs). These used in the various forms, such as hospitals, universities, air force, banks, courts, business firms, and others, including the performance of countries, regions, etc. One of the earliest applications of DEA called Education. It was an ideal introduction for DEA because it typically deals with comparisons of many similar and autonomous ‘non-profit’ entities described by inputs and outputs. Therefore, education served to test and validate DEA as a tool for analysis and decision support. Recently DEA has been extended to examine the efficiency of Higher Education operations. In this paper, a Stochastic Input Oriented Data Envelopment Analysis (SIODEA) Model is conducted for the comparison of evaluating the relative efficiency scores of Faculties of Computers and Information (FCIs) each with some of inputs are stochastic with normally distributed, recent inputs are deterministic and outputs.

El-Demerdash, B. E., I. A. El-Khodary, and A. A. Tharwat, "Developing a Stochastic Input Oriented Data Envelopment Analysis Model", International Journal of Advanced Computer Science and Applications (IJACSA), vol. 4, issue 4, pp. 40-44, 2013. Abstractdeveloping_a_stochastic_input_oriented_data.pdf

Data Envelopment Analysis (DEA) is a powerful quantitative tool that provides a means to obtain useful information about efficiency and performance of firms, organizations, and all sorts of functionally similar, relatively autonomous operating units, known as Decision Making Units (DMU). Usually the investigated DMUs are characterized by a vector of multiple inputs and multiple outputs. Unfortunately, not all inputs and/or outputs are deterministic; some could be stochastic. The main concern in this paper is to develop an algorithm to help any organization for evaluating their performance given that some inputs are stochastic. The developed algorithm is for a Stochastic Input Oriented Model based on the Chance Constrained Programming, where the stochastic inputs are normally distributed, while the remaining inputs and all outputs are deterministic.