TY - JOUR
T1 - A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm
AU - Herrera, Francisco
AU - López, Enrique
AU - Mendaña, Cristina
AU - Rodríguez, Miguel A.
PY - 2001/2/16
Y1 - 2001/2/16
N2 - 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.
AB - 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.
KW - Genetic algorithms
KW - Linguistic labels
KW - Linguistic operators
KW - Relationships between jobs
KW - Staff selection
UR - http://www.scopus.com/inward/record.url?scp=0035255239&partnerID=8YFLogxK
U2 - 10.1016/S0165-0114(98)00373-X
DO - 10.1016/S0165-0114(98)00373-X
M3 - Article
AN - SCOPUS:0035255239
SN - 0165-0114
VL - 118
SP - 47
EP - 64
JO - Fuzzy Sets and Systems
JF - Fuzzy Sets and Systems
IS - 1
ER -