The Design and Implementation of a Knowledge-Based Guide System in an Intelligent Multiple Objective Group Decision Support System

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.