Model-based Management System Research Articles

Using an integrated model learning system to construct the model base of a decision support system

The Model Base Management System (MBMS) in a Decision Support System (DSS) has become increasingly important in handling complicated decision problems. Traditionally, models are retrieved from the human experts. This approach has the disadvantages of low productivity and being subjective by different individuals. Although recent research projects include how to apply Artificial Intelligence approaches to automatic model retrieval, none of them provides an efficient and effective way to produce large-scale complicated models. In this article, an Integrated Model Learning System is introduced to learn new models from model instances. This system basically uses the Multiple Instance Explanation Based Generalization (miEBG) approach which is a modification of the Multiple Explanation Based Generalization (mEBG) approach to explain and generalize model instances by the Domain Theory. Different from other machine learning approaches, this approach takes advantages of using the Domain Theory to learn multiple explanation trees from instances, and then combines all trees to form a complete explanation tree which will be generalized into a useful model. In general, this approach provides the Model Base Management System an automatic way to retrieve new and more complete models from related instances in a self-learning fashion.

System entity structuring and model base management

System entity structure (SES) is a structural knowledge representation scheme that contains knowledge of decomposition, taxonomy, and coupling of a system. Formally, the SES is a labeled tree with attached variable types that satisfy certain axioms. Described is a realization of the SES in Scheme (a Lisp dialect), that is called ESP-Scheme. Specifically, the computer representation of SES and main operations on SES are presented, and then facilities provided by ESP-Scheme are described. Two examples of application are discussed: a parallel processor model and a simulation study of a university phone registration system. ESP-Scheme acts as a model base management system in DEVS-Scheme, a knowledge-based simulation environment. It supports specification of the structure of a family of models, pruning the structure to a reduced version, and transforming the latter to a simulation model by synthesizing component models in the model base.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

A generalised software system shell for decision support system development

As the world is changing over time, there are more complex decision problems occurring in modern organisations. It has been widely accepted that the Management Information System does not provide flexible support for handling semi-structured decision problems. There is an urgent need for Decision Support Systems (DSS) which can provide information and analytical tools to deal with complex decision problems. In fact, there are many specific Decision Support Systems built, but they aim at usage in particular application areas. Many researchers [R. H. Sprague. MIS Quarterly 4, 1–26 (1980); R. P. Minch and J. R. Burns. IEEE Trans. Syst. Man Cybern. SMC-13, 549–557 (1983); M. Wang and J. Courtney. IEEE Trans. Syst. Man Cybern. SMC-14, 701–711 (1984) have observed that there is a need for generalised software system upon which different decision support applications could be based. This paper presents a brief overview of DSS and a conceptual architecture of a generalised software system for DSSs. A new idea for bridging the gap between the database and modelbase is also presented. According to the architecture, a prototype system called SYSTEM-Y is being developed on an IBM AT microcomputer. The system includes a Database Management System, Modelbase Management System, Multi-tools System and the Main Processing System.

A Development of System Dynamics Model Building Support System

It is necessary to plan scientificaly and efficiently by using computer. But, it is not easy to use computers such that, because of poor knowledge for them, or insufficient data, etc. Therefore, to bring a solution, we developed the city planning support system. Up to date, SD model takes long time and prodigious labor. Our system dynamic model building support system can produce effectual and various information to build SD models. In this paper, we introduce the outline of this system. This system consists of three parts, there are Data base systems for city planning, SD model base and SD model management system. From the Data base systems, we set data to analyse for model building. SD model base system, we use for initial condition model of this system. The model management system compiles the SD model, interface to planners, etc.