Affiliations: Universidade Federal de Santa Catarina – INE, Rua
Esteves Júnior, 496/1115, Centro, CEP. 88015-130, Florianópolis, SC,
Brazil. E-mail: gleiber@prsc.mpf.gov.br, rogerio@sei.ufsc.br | Pontifícia Universidade Católica do Rio Grande
do Sul, Porto Alegre, RS, Brazil. E-mail: golberr@bol.com.br
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
