- 1 Angehrn, A.A. Designing humanized systems for multiple criteria decision making. Human Systems Manage. 10 (1991), pp. 221-231.Google Scholar
- 2 Angehrn, A.A. Computers that criticize you: Stimulus-based decision support systems. Interfaces 23, 3. (May-June 1993), pp. 3-16.Google Scholar
- 3 Angehrn, A.A. and Dutta, S. Integrating case-based reasoning in multi-criteria decision support systems. INSEAD Working Paper 92/54TM, 1992. Google ScholarDigital Library
- 4 Fischer, G., Lemke, A.C., Mastaglio, T. And Morch A.I. The role of critiquing in cooperative problem solving. ACM Trans. On Info. Sys. 9, (April 1991), pp. 123-151. Google ScholarDigital Library
- 5 Goodman, M. CBR in battle planning. Proceedings of the DARPA Workshop on Case-Based Reasoning. Vol. 2, K. Hammong (Ed.). Morgan Kaufmann, San Mateo, Calif., 1989, pp. 246-269.Google Scholar
- 6 Kolodner, J. Case-Based Reasoning. Morgan Kaufman, 1993. Google ScholarDigital Library
- 7 Kolodner, J.L. Improving human decision making through case-based decision aiding. Al Mag. (Summer 1991), 52-68. Google ScholarDigital Library
- 8 Korhonen, P., Moskowitz, H. And Wallenius, J. Multiple criteria decision support-A review. Euro. J. Operational Research 63, (1992), pp. 361-375.Google ScholarCross Ref
- 9 Manheim, M.L. An architecture for active DSS. Proceedings of the 21st Annual Hawaii International Conference on System Sciences. IEEE Computer Society Press (Hawaii, 1988), pp. 356-365. Google ScholarDigital Library
- 10 Mitchell, R.M., Kellar, R.M., and Kedar-Babelli, S.T. Explanation-based learning: A unifying view. Machine Learning 1, 1. (1986), pp. 47-80. Google ScholarDigital Library
- 11 Raaghavan, S.A. and Chang, D.R. Exploring active decision support: The Janus project. Proceedings of the 22nd Annual Hawaii International Conference on System Sciences. (1989) pp. 33-45.Google Scholar
- 12 Zeleny, M. Cognitive equilibrium: a new paradigm of decision making? Human Syst. Manage. 8. (1989) pp. 185-188.Google Scholar
Index Terms
- Case-based decision support
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