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.
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Published: 03 August 2014
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- Research-article
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- Refereed limited
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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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