Applicants' selection applying a fuzzy multicriteria CBR methodology

Article type: Research Article

Authors: Royes, Gleiber Fernandes | Bastos, Rogério Cid | Royes, Golber Fernandes

Affiliations: Universidade Federal de Santa Catarina – INE, Rua Esteves Júnior, 496/1115, Centro, CEP. 88015-130, Florianópolis, SC, Brazil. E-mail: [email protected], [email protected] | Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil. E-mail: [email protected]

Note: [] Corresponding author. Tel.: +55 48 222 7395; Fax: +55 48 222 3577

Abstract: The usual methods applied by enterprises to the selection of high executives involve a set of relevant criteria. These criteria frequently involve subjective and complex characteristics that must be adequately assessed to produce the proper decision about the most suitable profile among the available job applicants. A Fuzzy Multicriteria tool is suggested to help on the choice of the most promising applicant among the available candidates. Fuzzy sets are used to represent and manipulate the uncertain criteria of the problem in a computer system. The Multicriteria technique explores the fuzzy criteria in order to produce a preference ranking order of the applicants for the employment. As an important complement to this proposal, a CBR (Case-Based Reasoning) mechanism is presented as an additional tool for decision aid and as a mechanism of incremental learning. A practical real situation is also presented to illustrate the functional process of this approach.

Keywords: fuzzy sets, Multiple Criteria Analysis, Cased-Based Reasoning, human resources, decision support

Journal: Journal of Intelligent & Fuzzy Systems, vol. 14, no. 4, pp. 167-180, 2003