On Perception-based Logical Deduction with Fuzzy Inputs View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2016

AUTHORS

Antonín Dvořák , Martin Štěpnička

ABSTRACT

We present and analyze inference method called Perception-based Logical Deduction (PbLD) aimed at the treatment of fuzzy IF-THEN rules as linguistically expressed genuine logical implications. We analyze two variants of PbLD (original and balancing) that differ in the selection of fired IF-THEN rules. We concentrate on a situation when inputs into inference are fuzzy sets (fuzzy inputs). We study the conditions under which both variants fulfill the interpolativity property. More... »

PAGES

495-509

Book

TITLE

Information Processing and Management of Uncertainty in Knowledge-Based Systems

ISBN

978-3-319-40580-3
978-3-319-40581-0

Author Affiliations

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-40581-0_40

DOI

http://dx.doi.org/10.1007/978-3-319-40581-0_40

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035265695


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