Linguistic Modifiers with Unbalanced Term Sets in Multi-valued Logic

Nouha Chaoued 1, 2 Amel Borgi 1 Anne Laurent 2
2 FADO - Fuzziness, Alignments, Data & Ontologies
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Modeling human knowledge by machines should be as faithful as possible to reality. Therefore, it is imperative to take account of inaccuracies and uncertainties in this knowledge. This problem has been dealt with through different approaches. The most common approaches are fuzzy logic and multi-valued logic. These two logics propose a linguistic term modeling. Generally, problems modeling qualitative aspect use linguistic variables assessed in linguistic terms that…
Document type :
Conference papers
Complete list of metadatas

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01381086
Contributor : Anne Laurent <>
Submitted on : Friday, October 14, 2016 - 12:27:09 AM
Last modification on : Saturday, March 9, 2019 - 1:16:03 AM

Identifiers

  • HAL Id : lirmm-01381086, version 1

Collections

Citation

Nouha Chaoued, Amel Borgi, Anne Laurent. Linguistic Modifiers with Unbalanced Term Sets in Multi-valued Logic. KEOD: Knowledge Engineering and Ontology Development, Nov 2015, Lisbon, Portugal. pp.50-60. ⟨lirmm-01381086⟩

Share

Metrics

Record views

132