Abstract
It is shown how a mathematical constraint resolution (MATHCORE) system can be used to design a better decision support system. MATHCORE not only has the flexibility of expressing mathematical equations within a logic programming paradigm in a natural way, but also has an ability to deal with systems of nonlinear equations, regression analysis, and optimization problems. While most existing constraint logic programming systems try to devise their own constraint solvers and are confined to systems of linear equations and simple nonlinear functions, the MATHCORE removes this limitation by directly taking advantage of well-developed numerical methods available in the mathematical libraries. With MATHCORE, complex decision optimization models can be embedded in a rule-based decision support system. Using this methodology, it is demonstrated that the interactions among various economic factors in a housing market can be stated in the program body, while various (optimization) goals of social welfare can be expressed as queries.
| Original language | English |
|---|---|
| Pages (from-to) | 685-692 |
| Number of pages | 8 |
| Journal | Proceedings - IEEE Computer Society's International Computer Software & Applications Conference |
| Publication status | Published - 1989 Dec 1 |
| Event | Proceedings of the Thirteenth Annual International Computer Software & Applications Conference - COMPSAC 89 - Orlando, FL, USA Duration: 1989 Sep 20 → 1989 Sep 22 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Science Applications
Cite this
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Application of mathematical constraint resolution to decision support system. / Lin, Feng-Tyan; Juang, Jie Yong; Lee, Der Tsai.
In: Proceedings - IEEE Computer Society's International Computer Software & Applications Conference, 01.12.1989, p. 685-692.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Application of mathematical constraint resolution to decision support system
AU - Lin, Feng-Tyan
AU - Juang, Jie Yong
AU - Lee, Der Tsai
PY - 1989/12/1
Y1 - 1989/12/1
N2 - It is shown how a mathematical constraint resolution (MATHCORE) system can be used to design a better decision support system. MATHCORE not only has the flexibility of expressing mathematical equations within a logic programming paradigm in a natural way, but also has an ability to deal with systems of nonlinear equations, regression analysis, and optimization problems. While most existing constraint logic programming systems try to devise their own constraint solvers and are confined to systems of linear equations and simple nonlinear functions, the MATHCORE removes this limitation by directly taking advantage of well-developed numerical methods available in the mathematical libraries. With MATHCORE, complex decision optimization models can be embedded in a rule-based decision support system. Using this methodology, it is demonstrated that the interactions among various economic factors in a housing market can be stated in the program body, while various (optimization) goals of social welfare can be expressed as queries.
AB - It is shown how a mathematical constraint resolution (MATHCORE) system can be used to design a better decision support system. MATHCORE not only has the flexibility of expressing mathematical equations within a logic programming paradigm in a natural way, but also has an ability to deal with systems of nonlinear equations, regression analysis, and optimization problems. While most existing constraint logic programming systems try to devise their own constraint solvers and are confined to systems of linear equations and simple nonlinear functions, the MATHCORE removes this limitation by directly taking advantage of well-developed numerical methods available in the mathematical libraries. With MATHCORE, complex decision optimization models can be embedded in a rule-based decision support system. Using this methodology, it is demonstrated that the interactions among various economic factors in a housing market can be stated in the program body, while various (optimization) goals of social welfare can be expressed as queries.
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UR - http://www.scopus.com/inward/citedby.url?scp=0024926498&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0024926498
SP - 685
EP - 692
JO - Proceedings - IEEE Computer Society's International Computer Software and Applications Conference
JF - Proceedings - IEEE Computer Society's International Computer Software and Applications Conference
SN - 0730-6512
ER -