Knowledge-Based Fuzzy Diagnostic Model

Hong Wei Lv; Xiao Kai Li; Kai Wang

doi:10.4028/www.scientific.net/AMR.989-994.2735

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Knowledge-Based Fuzzy Diagnostic Model

Knowledge-Based Fuzzy Diagnostic Model

Abstract:

This paper discusses a diagnostic model based on the fuzzy relation equations in the diagnosis model, adding a time parameter, given the consistency between the fault symptom set and a set of observed signs of relevance, coverage, and equal quantitative indicators, these quantitative indicators can guarantee that the omission of a potential fault is neither in the case of incomplete knowledge, but also to get the best known symptom set matching solution. At the same time, diagnose problems in the knowledge of the adequacy and completeness of their relationships.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2735-2738

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2735

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Online since:

July 2014

Authors:

Hong Wei Lv*, Xiao Kai Li, Kai Wang

Keywords:

Diagnosis, Fault Set, Fuzzy Set, Sign Set

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