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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