Abstract
This paper examines ways in which the addition of data modeling features can enhance the capabilities of mathematical modeling languages. It demonstrates how such integration is achieved as an application of the embedded languages technique proposed by Bhargava and Kimbrough [4]. Decision-making, and decision support systems, require the representation and manipulation of both data and mathematical models. Several data modeling languages as well as several mathematical modeling languages exist, but they have different sets of these capabilities. We motivate with a detailed example the need for the integration of these capabilities. We describe the benefits that might result, and claim that this could lead to a significant improvement in the functionality of model management systems. Then we present our approach for the integration of these languages, and specify how the claimed benefits can be realized.
| Original language | English |
|---|---|
| Pages (from-to) | 69-95 |
| Number of pages | 27 |
| Journal | Annals of Operations Research |
| Volume | 38 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 1992 |
| Externally published | Yes |
Funding
The author's work on this paper was performed in conjunction with research funded by the Naval Postgraduate School.
ASJC Scopus Subject Areas
- General Decision Sciences
- Management Science and Operations Research
Keywords
- mathematical modeling
- support system
- decision support
- data modeling
- decision support systems