Events that deal with Group Decision Making are continuously studied in order to provide a suitable representation of different opinions, with the aim of reaching the consensus of all experts involved in decision processes. In this paper, the authors, focusing on employees' evaluations inside Italian companies, propose an extension of a fuzzy consensus model dealing with a feedback process to guide the decisions. Precisely, a fuzzy logic approach is used to compute the importance degree of the experts considering, besides their experiences and roles, the profile of the resource to evaluate, i.e. a factor that indicates the working trend of the employee. This allows more fair evaluations of resources, as the importance of each expert also considers the behavior of employees during their whole working period. A case study, that focus on the evaluations inside a real Italian company, is useful to analyze the proposed approach.

A fuzzy consensus approach for group decision making with variable importance of experts

D'ANIELLO, GIUSEPPE;GAETA, Matteo;TOMASIELLO, Stefania;RARITA', LUIGI
2016

Abstract

Events that deal with Group Decision Making are continuously studied in order to provide a suitable representation of different opinions, with the aim of reaching the consensus of all experts involved in decision processes. In this paper, the authors, focusing on employees' evaluations inside Italian companies, propose an extension of a fuzzy consensus model dealing with a feedback process to guide the decisions. Precisely, a fuzzy logic approach is used to compute the importance degree of the experts considering, besides their experiences and roles, the profile of the resource to evaluate, i.e. a factor that indicates the working trend of the employee. This allows more fair evaluations of resources, as the importance of each expert also considers the behavior of employees during their whole working period. A case study, that focus on the evaluations inside a real Italian company, is useful to analyze the proposed approach.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4687508
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