Proposed architecture and algorithm for academic personnel evaluation and decision support making
Authors: 
Dimitrios Tomtsis, Sotirios Kontogiannis, George Kokkonis, Ioannis Kazanidis, Stavros ValsamidisAuthors Info & Claims
Dimitrios Tomtsis, Sotirios Kontogiannis, George Kokkonis, Ioannis Kazanidis, Stavros ValsamidisAuthors Info & ClaimsArticle No.: 18, Pages 1 - 4
Abstract
This paper proposes a new methodology to perform personnel evaluation called Personnel Evaluation methodology. This methodology is based on a focused pair wise AHP process assisted by a proposed Performance Evaluation Superpositioning algorithm (PES-algo). That is, a modification of superpositioning algorithm clustering process (S-algo) [7, 8, 2]. Such process is used by Learning Management Systems (LMS) for course content evaluation. It also presents a decision support test bed system (Academic Evaluation System - AES), which is used to perform the PE-methodology. AES system is put to test at authors' academic environment and preliminary outcomes of personnel evaluation results based on PE-methodology are discussed.
References
[1]
Harker, P. The state of the art in the analytic hierarchy process, 1998.
[2]
Kazanidis, I., Valsamidis, S., Kontogiannis, S., and Karakos, A. Measuring and Mining LMS Data. In Panhellenic Conference on Informatics (2012), IEEE Computer Society, pp. 296--301.
[3]
Saaty, R. The analytic hierarchy process; what it is and how it is used. Mathematical Modelling 9, 3 (1987), 161--176.
[4]
Saaty, T. Decision making - the Analytic Hierarchy and Network Processes (AHP/ANP). Journal of Systems Science and Systems Engineering 13, 1 (2004), 1--35.
[5]
Saaty, T. L. The analytic hierarchy and analytic network processes for the measurement of intangible criteria and for decision-making. In Multiple Criteria Decision Analysis: State of the Art Surveys, vol. 78 of International Series in Operations Research & Management Science. Springer New York, 2005, pp. 345--405.
[6]
Saaty, T. L., and Peniwati, K. Group Decision Making: Drawing out and Reconciling Differences. RWS publications, 2008.
[7]
Valsamidis, S., Kontogiannis, S., and Karakos, A. Two Algorithms for Web Applications Assessment. iJET 6, 3 (2011), 57--63.
[8]
Valsamidis, S., Kontogiannis, S., Karakos, A., and Kazanidis, I. A Combined Algorithm for LMS Usage Assessment. In Proc. of the 2011 15th Panhellenic Conference on Informatics (2011), PCI '11, IEEE Computer Society, pp. 358--362.
[9]
Zahedi, F. The Analytic Hierarchy Process: A Survey of the Method and Its Applications. Interfaces 16, 4 (July 1986), 96--108.
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- Proposed architecture and algorithm for academic personnel evaluation and decision support making
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Association for Computing Machinery
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Published: 03 August 2014
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C3S2E '14
C3S2E '14: International C* Conference on Computer Science & Software Engineering
August 3 - 5, 2014
QC, Montreal, Canada
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Overall Acceptance Rate 12 of 42 submissions, 29%
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