search query: @indexterm ARTIFICIAL INTELLIGENCE / total: 254
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| Author: | Feelders, A. J. Daniels, H. A. M. |
| Title: | A general model for automated business diagnosis |
| Journal: | European Journal of Operational Research
2001 : MAY 1, VOL. 130:3, p. 623-637 |
| Index terms: | MANAGEMENT DECISION SUPPORT SYSTEMS FINANCE ARTIFICIAL INTELLIGENCE |
| Language: | eng |
| Abstract: | In this paper it develops a formalism to support diagnostic reasoning in the domain of business and finance. A theoretic description of the process of diagnosis of company performance, and the implementation thereof is outlined. A new concept of explanation compromises the bases of our framework and enables us to deal with both qualitative and quantitative information in diagnosis. The system was tested on a case-study involving the comparison of nine firms operating in the mechanical engineering industry. Comparison of textbook analysis and model output shows that our system is able to produce the correct diagnostic analyses. |
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