Abstract
The focus of this paper is to present a classification methodology for evaluating the complexity of expert systems. Complexity in the area of expert systems consists of two basic dimensions: the complexity of the underlying knowledge residing with the experts and the complexity of the technology incorporated into a given system. The classification methodology was developed and tested for its ability to accurately differentiate expert systems with a pilot sample of six expert systems. Using this approach provides a basis for managers to assess the complexity of a particular expert system and thereby assist in planning the scope of the development and implementation effort and the "fit" of a particular project with the firm's internal resources and the needs of its competitive environment.
Recommended Citation
Meyer, Marc H. and Curley, Kathleen Foley, "A METHODOLOGY FOR CLASSIFYING THE COMPLEXITY OF EXPERT SYSTEMS: A PILOT STUDY" (1989). ICIS 1989 Proceedings. 50.
https://aisel.aisnet.org/icis1989/50