Probabilistic Coverage of Linguistic IF-THEN Rules

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F16%3AA1701I0E" target="_blank" >RIV/61988987:17610/16:A1701I0E - 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
Probabilistic Coverage of Linguistic IF-THEN Rules
Original language description
Fuzzy associational analysis (FAA) is useful for solving various regression tasks. Mined fuzzy associations can be used as fuzzy IF-THEN rules in a fuzzy expert system, which is then able to predict some variable that appears on the right hand side of IF-THEN rules. In this paper we investigate fuzzy IF-THEN rules reduction methods. We propose a new probabilistic data coverage measure for evaluating quality of a set of IF-THEN rules. We also propose a rule reduction procedure based on this measure and compare it theoretically and experimentally in the context of Perception-based Logical Deduction.
Czech name
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Czech description
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Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IEEE International Fuzzy Systems Conference Proceedings
ISBN
9781509006250
ISSN
1098-7584
e-ISSN
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Number of pages
6
Pages from-to
798-803
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Vancouver, CANADA
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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