Integrating Case-Based Reasoning in Multi-Criteria Decision Support Systems

Abstract An important focus in current research on decision support systems (DSS) is the design of flexible environments to facilitate and support learning about the problem domain by the user. This research uses case-based reasoning to present a symbiotic DSS in which both the user and the DSS learn from each other. The user learns from the DSS (from stored prior problem solutions) and the system learns from the user (by observing current problem solving behaviors). The specific context of our research is the class of DSS used for supporting multi-criteria decision making (MCDM). Our ideas are being implemented in a prototype extension of the Triple C [2] MCDSS.

[1]  Andrew B. Whinston,et al.  Foundations of Decision Support Systems , 1981 .

[2]  Hyun B. Eom.  The Current State of Multiple Criteria Decision Support Systems , 1989 .

[3]  Donald R. Chand,et al.  Exploring active decision support: the JANUS project , 1989, [1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track.

[4]  Albert A. Angehrn.  Designing Humanized Systems for Multiple Criteria Decision Making , 1991 .

[5]  Albert A. Angehrn.  Modeling by example: A link between users, models and methods in DSS☆ , 1991 .

[6]  Marc Roubens,et al.  Multiple criteria decision making , 1994 .

[7]  Philippe Vincke,et al.  Multiattribute utility theory as a basic approach , 1985 .

[8]  Christopher K. Riesbeck,et al.  Inside Case-Based Reasoning , 1989 .

[9]  T. Saaty.  Axiomatic foundation of the analytic hierarchy process , 1986 .

[10]  Pierre Lévine,et al.  Rules integrate data in a multicriteria decision support system , 1990, IEEE Trans. Syst. Man Cybern..

[11]  Peter G. W. Keen,et al.  Decision support systems: The next decade , 1987, Decis. Support Syst..

[12]  Albert A. Angehrn,et al.  Intelligent Decision Support Systems: A Visual Interactive Approach , 1990 .

[13]  H. Raiffa,et al.  Decisions with Multiple Objectives , 1993 .

[14]  Soumitra Dutta,et al.  Approximate reasoning by analogy to answer null queries , 1991, Int. J. Approx. Reason..

[15]  Ralph H. Sprague,et al.  Building Effective Decision Support Systems , 1982 .

[16]  Milan Zeleny,et al.  Cognitive Equilibirum: A New Paradigm of Decision Making? , 1989 .

[17]  Dov Te'eni,et al.  Human-computer decision systems: The multiple roles of DSS , 1991 .

[18]  Edwina L. Rissland,et al.  Combining Case-Based and Rule-Based Reasoning: A Heuristic Approach , 1989, IJCAI.

[19]  M.L. Manheim,et al.  An architecture for active DSS , 1988, [1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track.

[20]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[21]  Jaime G. Carbonell,et al.  Derivational analogy: a theory of reconstructive problem solving and expertise acquisition , 1993 .

[22]  Howard Carter,et al.  Foundations of Decision Support Systems , 1982 .

[23]  Piero P. Bonissone,et al.  Integrating case-based and rule based reasoning: the possibilistic connection , 1990, UAI.

[24]  Han-Lin Li.  Solving discrete multicriteria decision problems based on logic-based decision support systems , 1987, Decis. Support Syst..

[25]  B. Roy.  THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[26]  Gerhard Fischer,et al.  Computer-based critics , 1989, [1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track.