Linguistic Modifiers with Unbalanced Term Sets in Multi-valued Logic

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…
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KEOD: Knowledge Engineering and Ontology Development, Nov 2015, Lisbon, Portugal. 7th International Conference on Knowledge Engineering and Ontology Development, pp.50-60, 2015, 〈http://www.keod.ic3k.org/?y=2015〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01381086
Contributeur : Anne Laurent <>
Soumis le : vendredi 14 octobre 2016 - 00:27:09
Dernière modification le : jeudi 11 janvier 2018 - 06:14:31

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  • HAL Id : lirmm-01381086, version 1

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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. 7th International Conference on Knowledge Engineering and Ontology Development, pp.50-60, 2015, 〈http://www.keod.ic3k.org/?y=2015〉. 〈lirmm-01381086〉

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