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The theoretical approach used in the design and implementation of multi-criteria decision support systems is based on the identification of various alternative actions that may give certain desirable results. However, with large application domains, such as in the field of environmental management, the number of decision variables may become too large for the abstraction of real world data to easily understood objectives. Knowledge-based systems provide a natural way to model complex domains and can handle many preliminary tasks, thereby limiting the number of decision variables and better reflecting global user goals. Within a general methodology, developed for designing water quality management systems, an expert system was integrated with a multi-criteria decision support system. The aim was to give the expert system the responsibilities for the initial problem solving, and then to pass the decision alternatives to the multi-criteria decision support system. In this way, the knowledge-based system substitutes for more traditional operational research approaches, such as linear programming. The results of a first experimental implementation are discussed.

Additional information

Authors: SCHEER S, JRC Ispra (IT);HAASTRUP P, JRC Ispra (IT)
Bibliographic Reference: Paper presented: The Vienna IT Conference 1993 - Information and Communication Technology for the New Europe, Vienna (AT), April 20-23, 1993
Availability: Available from (1) as Paper EN 37317 ORA
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