Name
Abstract | ||
|---|---|---|
In Section 1 of this paper, we briefly review the general problem of diagnosing a fault in a network of interacting components. The fuzzy form of this general problem, in which component failure is not all-or-none, is introduced; many important practical diagnosis problems resemble the fuzzy case more closely than the crisp case. Section 2 discusses the use of a fuzzy production system as a powerful technique for performing an automated preliminary diagnosis in a fuzzy network. fault, a fuzzy production system to analyze the financial performance of a business firm using linguistic assessments of financial indicator ratios, is presented in Section 3 as an example of fuzzy network diagnosis. Section 4 presents some recent work in automatic program generation for fuzzy network diagnosis, and Section 5 briefly mentions some work currently in progress. |
Year | DOI | Venue |
|---|---|---|
1985 | 10.1016/0020-0255(85)90012-X | Inf. Sci. |
Keywords | Field | DocType |
financial ratio,generalized network modeling,network model,financial ratios | Financial ratio,Fuzzy set operations,Fuzzy logic,Preliminary diagnosis,Artificial intelligence,Adaptive neuro fuzzy inference system,Machine learning,Network model,Financial performance,Mathematics | Journal |
Volume | Issue | ISSN |
37 | 1-3 | 0020-0255 |
Citations | PageRank | References |
4 | 0.54 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Whalen | 1 | 115 | 32.39 |
| Brian Schott | 2 | 4 | 0.54 |