View Item 

Developing a knowledge-based multi-objective decision support systems

Access Status
Open access
Authors
Lu, J.
Quaddus, Mohammed
Williams, Robert
Date
2000
Type
Conference Paper

Metadata
Show full item record
Citation
Lu, J. and Quaddus, M. A. and Williams, R.. 2000. : Developing a knowledge-based multi-objective decision support systems, in Sprague, R. (ed), HICSS: 33rd Annual Hawaii International Conference of Systems Science, 01 Jan 2000, pp. 1-10. Maui, Hawaii: IEEE Computer Society.
Source Title
HICSS 33: Proceedings of the 33rd Annual Hawaii International Conference of Systems Science
Source Conference
HICSS: 33rd Annual Hawaii International Conference of Systems Science
Faculty
Curtin Business School
School of Information Systems
Graduate School of Business
Remarks

Copyright 2000 IEEE

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI
Collection
Abstract

Decision Support Systems under Multiple Objectives (MODSS) has been classified as a specific type of system within the broad family of DSS and has been one of the most active areas of research. However, despite its theoretical development large scale real-world applications of multi-objective decision making (MODM) methods had been seriously lacking due to the technical knowledge and expertise needed to select and apply the most appropriate method. This paper explores the possibility of embedding intelligent guidance within MODSS, and outlines a specific guidance framework for the design of knowledge-based guidance for the selection of a suitable MODM method. This framework has been implemented as an intelligent and graphical user interface based multiple objective decision support system prototype. The prototype, with its database, methodology base of MODM and knowledge based system, will help any decision maker in selecting the most appropriate method in solving various MODM problems.