Fuzzy logic in competence management

Raymond Houé Ngouna (), Bernard Grabot and Germaine Tchuente Foguem
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Raymond Houé Ngouna: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Bernard Grabot: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Germaine Tchuente Foguem: LGP - Laboratoire Génie de Production - ENIT - Ecole Nationale d'Ingénieurs de Tarbes - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse

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Abstract: Industrial performance has for a long time been considered as a result of technical resources optimization. During the recent decades, competency- based approach has emerged as a promising concept for taking into account human skills/knowledge/abilities while addressing organizational goals and constraints. The aim for the companies is for instance to assess the compliance of competences acquired by workers with those required by the processes in which they are involved. In order to achieve this general purpose, it becomes necessary to provide the companies with an operational DSS capable of assessing competences. This paper focuses on a fuzzy based approach for modelling the competences in such a system.

Keywords: Competence management; Fuzzy pattern matching; Industrial performance; Human workforce (search for similar items in EconPapers)
Date: 2011-07-18
Note: View the original document on HAL open archive server: https://hal.science/hal-01886813v1
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Published in EUSFLAT-LFA 2011, Jul 2011, Aix-les-Bains, France. pp.0

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