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Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/71877
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dc.contributor.authorTanarat Rattanadamrongaksornen_US
dc.date.accessioned2021-01-27T04:16:57Z-
dc.date.available2021-01-27T04:16:57Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn21945365en_US
dc.identifier.issn21945357en_US
dc.identifier.other2-s2.0-85096426842en_US
dc.identifier.other10.1007/978-981-15-5856-6_63en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096426842&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/71877-
dc.description.abstract© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. A probability distribution is constructed using a deterministic method by gradually slicing a fuzzy number and incrementally transforming a set of α-cuts into high density intervals. The test of the proposed method was conducted by artificial examples to make a comparison arbitrarily with other commonly used methods and measured by common statistics. The result showed a good, however not the best, possibility-to-probability transformation.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleMaking High Density Interval from Fuzzy α -Cut: A Deterministic and an Interval-Based Possibility-to-Probability Transformationen_US
dc.typeBook Seriesen_US
article.title.sourcetitleAdvances in Intelligent Systems and Computingen_US
article.volume1183en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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