Fusion of qualitative beliefs using DSmT

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dc.creatorSmarandache, Florentin
dc.creatorDezert, Jean
dc.date2006-07-31
dc.date2006-11-29
dc.date.accessioned2026-07-07T07:16:28Z
dc.date.available2026-07-07T07:16:28Z
dc.descriptionThis paper introduces the notion of qualitative belief assignment to model beliefs of human experts expressed in natural language (with linguistic labels). We show how qualitative beliefs can be efficiently combined using an extension of Dezert-Smarandache Theory (DSmT) of plausible and paradoxical quantitative reasoning to qualitative reasoning. We propose a new arithmetic on linguistic labels which allows a direct extension of classical DSm fusion rule or DSm Hybrid rules. An approximate qualitative PCR5 rule is also proposed jointly with a Qualitative Average Operator. We also show how crisp or interval mappings can be used to deal indirectly with linguistic labels. A very simple example is provided to illustrate our qualitative fusion rules.
dc.description13 pages. To appear in "Advances and Applications of DSmT for Information Fusion", collected works, second volume, 2006
dc.identifierhttps://arxiv.org/abs/cs/0607147
dc.identifierhttp://arxiv.org/abs/cs/0607147
dc.identifierPresented as an extended version (Tutorial MO2) to the Fusion 2006 International Conference, Florence, Italy, July 10-13, 2006
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/113601
dc.subjectArtificial Intelligence
dc.subjectI.4.8
dc.titleFusion of qualitative beliefs using DSmT
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