Abstract:
A multiple-objective decision support system (MODSS)
may have several multiple objective decision making
(MODM) methods in its method base. As some methods
are more suitable than others for some decision cases or
for some decision makers, a guide system is very useful to
help users systematically towards the selection of their
most appropriate methods. This paper presents an
intelligent guide subsystem within a multiple-objective
group decision support system (IMOGDSS). This
intelligent guide subsystem is designed to have a
knowledge base to represent human expertise in the
specific domains of MODM methods. It first checks a
decision maker' requirements (ability and preference), and
then uses the knowledge to conduct inference to find a
most suitable MODM method to the decision maker. The
main compounds of the IMOGDSS are developed in a
DELPHI environment. The knowledge-based intelligent
guide subsystem is implemented by using an expert system
shell CLIPS.
