Question
What is the Model Management Subsystem?
Answer
The Model Management Subsystem (MMS) is a component of model management systems designed to facilitate the organisation, integration, and utilization of models within decision support systems. It plays a crucial role in managing the lifecycle and functionality of models, ensuring they are effectively used for decision-making processes.
Key Functions of the Model Management Subsystem
Model Representation and Integration: MMS uses various schemes to represent models, such as graph-based frameworks, which depict data as nodes and functions as edges. This allows for the integration and selection of models, enabling the creation of composite models automatically (Liang, 1988; Muhanna, 1992).
Knowledge-Based Model Repository: Central to MMS is the creation and maintenance of a Model Knowledge Base (MKB), which stores information about models to facilitate their consistent and controlled use. This repository supports the development of new models and the utilization of existing ones (Muhanna, 1992).
Model Utilization and Selection: The subsystem includes mechanisms for model consultation and selection, ensuring that the most appropriate models are used for specific decision-making tasks. This involves managing model configurations and version histories (Muhanna, 1992).
Inference and Reasoning: An inference engine within the MMS applies reasoning mechanisms to drive model integration and selection processes, enhancing the decision support capabilities of the system (Liang, 1988).
Support for Multiple Logical MKBs: MMS supports various logical MKBs, such as private, group, and public, to cater to different organisational needs and ensure flexible model management (Muhanna, 1992).
Conclusion
The Model Management Subsystem is integral to the effective functioning of model management systems, providing essential tools for model representation, integration, and utilization. It supports decision-making by maintaining a robust model repository and facilitating the selection and use of appropriate models through advanced reasoning mechanisms.
References
Liang, T., 1988. Development of a Knowledge-Based Model Management System: Special Focus Article. Oper. Res., 36, pp. 849-863. https://doi.org/10.1287/opre.36.6.849
Muhanna, W., 1992. On the organisation of large shared Model bases. Annals of Operations Research, 38, pp. 359-396. https://doi.org/10.1007/BF02283658
Janakiraman, V.S., Sarukesi, K. and Surakest, K. (2004) Decision support systems. New Delhi: Prentice-Hall of India Pvt.
Little, J.D.C. and Cassettari, M.N. (1984) Decision support systems for marketing managers. New York, NY: AMA Membership Publications Division, American Management Associations.
Sucar, E.L. (2012) Decision theory models for applications in artificial intelligence: Concepts and solutions. Edited by Luis Enrique Sucar, Eduardo F. Morales, and Jesse Hoey. United States: Information Science Reference.
