Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57161
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMahdokht Afravien_US
dc.contributor.authorVladik Kreinovichen_US
dc.contributor.authorThongchai Dumrongpokaphoanen_US
dc.date.accessioned2018-09-05T03:35:39Z-
dc.date.available2018-09-05T03:35:39Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85028475242en_US
dc.identifier.other10.1007/978-3-319-62434-1_18en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85028475242&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57161-
dc.description.abstract© Springer International Publishing AG 2017. In many practical situations, we only know the bounds on the distances. A natural question is: knowing these bounds, can we check whether there exists a metric whose distance always lies within these bounds – or such a metric is not possible and thus, the bounds are inconsistent. In this paper, we provide an answer to this question. We also describe possible applications of this result to a description of opposite notions in commonsense reasoning.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleMetric spaces under interval uncertainty: Towards an adequate definitionen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume10061 LNAIen_US
article.stream.affiliationsUniversity of Texas at El Pasoen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.