The generation and use of categorical model base structures to support adaptive planning and positioning
Yateesh Katyal · Medical Entomology and Zoology · 1990
The concept of generic model base structures is presented as being crucial towards the implementation aspects of model base technology. This dissertation research presents how categorical model base technology can be employed as a basis for an adaptive (vs. traditional preadaptive) approach to readiness with respect to organizational planning and positioning. Categorical model base structures deal with the planning related activities of an organization and differ from the latter in their level of abstraction from Discrete-Bipartite model bases. The research proposes a generic, high-level representative structure for the generation, use, and manipulation of model bases and their elements. It is organized into three major sections: (1) categorical model base structures, (2) the generation of model base structures, and (3) the manipulation, or application of model base structures. Of keen interest and introduction are concepts involving the transition of management support systems from being data based and instrument based to model base driven, the reach and limits of traditional discrete/bipartite contingency planning technology and, the employment of categorical model base technology as a complement to, or substitute for, traditional contingency planning technology. Among the secondary technical areas of study, this research embraces the functional areas of knowledge engineering, decision support systems, model management systems, neural networks theory, parallel processing, distributed system architecture, and axiomatic systems theory. Surrogate imputational cases and data have been employed for purposes of discussion, for evaluating the performance of the proposed model base structures, and providing a platform for technological implementation.