Abstract
The design of systems involves making a series of decisions. Decision support is needed for improving the effectiveness of the designer as a decision maker. A hybrid approach for decision support, using rule-based mathemeti cal programming has been proposed. A prototype, decision support problem technique for design of engineering systems has been successfully developed, implemented and validated at the University of Houston. The technique involves identifying, formulating and solving and validating a number of independent and dependent Decision Support Problems (DSP’s). The solution phase of the technique uses methematical progromming whereas the formulation and post-solution phases are rule-based. This paper deals with the initial results of the rule-based post-solution analysis.
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References
Mistree F., Kuppuraju N., Shupe J. and Karandikar H.M., Computer-based Design Synthesis: An Approach to Problem Solving, Prindle, Weber and Schmidt, (under review) .
Mistree F. and Kamal S., “DSIDES: Decision Support in the Design of Engineering Systems”, Systems Design Laboratory, Department of Mechanical Engineering, University of Houston, (September 1985).
Mistree F., Karandikar H. and Kamal S., “Knowledge-based Mathematical Programming: A Hybrid Approach for Decision Making in Design”, IFIP W.G. 5 .2, Working Conference on Design Theory for CAD, Tokyo, Japan, (October 1985), pp. 155–188.
Mistree F., Ittimakin P. and Kuppuraju N., “An Algorithm for Solving Multiple Objective Problems in Engineering Design”, CAD/CAM, Robotics and Automation Conference, Tucson, (February 1985), pp. 311–324.
Mistree F., Hughes O.F. and Phuoc H.B., “An Optimization Method for the Design of Large, Highly Constrained Complex Systems”, Engineering Optimization, Vol.5, No.3, (1981), pp. 179–197.
Rich E., Artificial Intelligence, McGraw-Hill, (1983), pp . 201–242.
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© 1986 Springer-Verlag Berlin Heidelberg
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Mistree, F., Karandikar, H.M., Kamal, S. (1986). Rule-Based Post Solution Analysis of Decision Support Problems: Some Preliminary Results. In: Sriram, D., Adey, R. (eds) Applications of Artificial Intelligence in Engineering Problems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-21626-2_26
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DOI: https://doi.org/10.1007/978-3-662-21626-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-21628-6
Online ISBN: 978-3-662-21626-2
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