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Issue No.06 - December (1990 vol.5)
pp: 43-62
ABSTRACT
<p>The AI literature contains a number of important references related to the selection of appropriate domains or problems for the application of knowledge-based-system (KBS) technology. The authors extend that previous work by identifying common principles related to selecting appropriate KBS applications. The principles are organized into a methodology for qualitatively analyzing the applicability of KBS technologies to specific problems within specific organizational environments. The principles can be used by individuals with varying levels of technical expertise in applying KBS technologies. Managers can use this procedure prior to discussing potential applications with their development staff, and technical development staff members can use to make it a detailed assessment of the salient issues for a given application. The methodology is divided into two levels of analysis, roughly corresponding to these two types of users. The authors describe the approach and directions for using the procedure. A complete scoring worksheet is included. After presenting the core of the procedure for each level of analysis, the authors explain how to score and interpret results and plan the direction for the next steps to be taken in a KBS development effort. The utility of this methodology is assessed.</p>
CITATION
Steven C. Laufmann, D. Michael DeVAney, Mark A. Whiting, "A Methodology for Evaluating Potential KBS Applications", IEEE Intelligent Systems, vol.5, no. 6, pp. 43-62, December 1990, doi:10.1109/64.63188
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