start-ver=1.4
cd-journal=joma
no-vol=2
cd-vols=
no-issue=
article-no=
start-page=1556
end-page=1561
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=1995
dt-pub=199510
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=GA-based decision support system for multicriteria optimization
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>Proposes a multicriteria decision making (MCDM) method by using a genetic algorithm (GA). The system consists of three phases. In the first phase, a rough set of Pareto optimal solutions is obtained using Kohonen's self organizing map (SOM). In the second phase, the decision maker (DM) selects his preferred solutions among the obtained set, where the mechanism of GA is used with the DM's preference assisted by radial basis function network (RBFN). In the third phase, the DM can explore the solution space further for the final decision</p>

en-copyright=
kn-copyright=

en-aut-name=TanakaMasahiro
en-aut-sei=Tanaka
en-aut-mei=Masahiro
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=WatanabeHikaru
en-aut-sei=Watanabe
en-aut-mei=Hikaru
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=FurukawaYasuyuki
en-aut-sei=Furukawa
en-aut-mei=Yasuyuki
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

en-aut-name=TaninoTetsuzo
en-aut-sei=Tanino
en-aut-mei=Tetsuzo
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=4
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama University

affil-num=2
en-affil=
kn-affil=Okayama University

affil-num=3
en-affil=
kn-affil=Okayama University

affil-num=4
en-affil=
kn-affil=Okayama University
en-keyword=decision support systems
kn-keyword=decision support systems
en-keyword=decision theory
kn-keyword=decision theory
en-keyword=feedforward neural nets
kn-keyword=feedforward neural nets
en-keyword=genetic algorithms
kn-keyword=genetic algorithms
en-keyword=optimisation
kn-keyword=optimisation
en-keyword=self-organising feature maps
kn-keyword=self-organising feature maps
END