On Redundancies in Systems of Fuzzy/Linguistic IF-THEN Rules under Perception-based Logical Deduction Inference

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F15%3AA16017TB" target="_blank" >RIV/61988987:17610/15:A16017TB - 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
On Redundancies in Systems of Fuzzy/Linguistic IF-THEN Rules under Perception-based Logical Deduction Inference
Original language description
In this study, we formally investigate how to determine fuzzy/linguistic IF-THEN rules that are redundant in linguistic descriptions (systems of IF-THEN rules). We present a formal definition of redundancy and show that seemingly redundant rules can in fact be indispensable. These results apply to IF-THEN rules that use evaluative expressions (e.g.,~emph{small} and emph{very big}) and the inference method called emph{perception-based logical deduction}. However, they are also valid for inference systems with compatible design choices. We also describe an algorithm for the automatic detection and removal of redundant rules. Finally, we present an example of a linguistic description that is learned automatically from data and reduced using our algorithm.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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