A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm

Francisco Herrera, Enrique López, Cristina Mendaña, Miguel A. Rodríguez

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Staff selection for the varying activities performed by enterprises requires a coherent approach, which cannot be simplistic, to the information held. The use of flexible computation and the vague representation of knowledge available by means of linguistic labels allow the problem to be recognised as it is in real life. This paper is an attempt to supply a satisfactory solution to a real staff management problem with linguistic information presenting a linguistic decision model for personnel problem. For reaching a good solution, a novelty genetic algorithm with a linguistic biobjective fitness function is proposed.

Original languageEnglish
Pages (from-to)47-64
Number of pages18
JournalFuzzy Sets and Systems
Volume118
Issue number1
DOIs
StatePublished - Feb 16 2001
Externally publishedYes

Keywords

  • Genetic algorithms
  • Linguistic labels
  • Linguistic operators
  • Relationships between jobs
  • Staff selection

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