The Evolution of Fuzzy Classifier for Data Mining with Applications

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86077836" target="_blank" >RIV/61989100:27240/10:86077836 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
The Evolution of Fuzzy Classifier for Data Mining with Applications
Original language description
Fuzzy classifiers and fuzzy rules can be informally defined as tools that use fuzzy sets or fuzzy logic for their operations. In this paper, we use genetic programming to evolve a fuzzy classifier in the form of a. fuzzy search expression to predict product quality. We interpret the data mining task as a fuzzy information retrieval problem and we apply a. successful information retrieval method for search query optimization to the fuzzy classifier evolution. We demonstrate the ability of the genetic programming to evolve useful fuzzy classifiers on two use cases in which we detect faulty products of a product processing plant and discover intrusions in a computer network.
Czech name
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Czech description
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Project
<a href="/en/project/FR-TI1%2F420" target="_blank" >FR-TI1/420: *Integrated software system for optimalization and control of technological processes and prediction of production quality for large technological complexes with use of advanced mathematic method, simulation and artificial intelligence.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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