Type-2 fuzzy probabilistic system.

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dc.contributor.authorWang, Yuyingen
dc.date.accessioned2015-08-17T09:39:53Z
dc.date.available2015-08-17T09:39:53Z
dc.date.issued2012
dc.description.abstractThe paper proposes a new type-2 fuzzy logic system, Type-2 Fuzzy Probabilistic System, coupled with type-2 fuzzy probability, to deal with higher order fuzzy events with fuzzy sub-events together. The new concepts of Membership Probability Density Function (Mpdf) and ̃J-plane Representation for type-2 fuzzy set are also presented. A special Type-2 Fuzzy Probabilistic Model, Type-2 Fuzzy ARIMA, is proposed. As a proof-of-concept application, an experiment with a 36 month forecast of a real-valued problem is conducted showing some improvement over Box-Jenkins Model (SARIMA). As series of concepts and results prove, Type-2 Fuzzy Probabilistic System can be determined by fuzzy statistical evaluation of high order fuzzy events and process. This paper realises type-2 fuzzy logic systems evolving from rule-based fuzzy systems to the systems based on type-2 fuzzy probability.en
dc.funderN/Aen
dc.identifier.citationWang, Y. (2012) Type-2 fuzzy probabilistic system. In: Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on, Sichuan, China, 29-31 May 2012. pp. 482-486.en
dc.identifier.doihttps://doi.org/10.1109/FSKD.2012.6234273
dc.identifier.isbn978-1-4673-0025-4
dc.identifier.urihttp://hdl.handle.net/2086/11136
dc.language.isoenen
dc.projectidN/Aen
dc.publisherIEEEen
dc.titleType-2 fuzzy probabilistic system.en
dc.typeBook chapteren

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