Grey systems and uncertainty modelling

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dc.cclicenceN/Aen
dc.contributor.authorYang, Yingjie
dc.contributor.authorKhuman, A. S.
dc.contributor.authorLiu, Sifeng
dc.date.accessioned2023-03-10T12:00:39Z
dc.date.available2023-03-10T12:00:39Z
dc.date.issued2023-02-05
dc.description.abstractInformation can, and often is, rather uncertain; with only partial information initially being made available, from which one would be able to hopefully provide for a solution. The information itself may contain conflicts that have arisen from the possible different sources used to acquire it. In addition, the information may be viewed and interpreted differently by different cohorts, this in itself can be the cause of extenuating circumstances. These are just some of the issues that one can face with uncertain information. These issues can understandably create problems when considering the deployment of applications. Being able to cater for the volatility that is inherently present in uncertainty, becomes an objective with high importance and precedence.en
dc.funderLeverhulme Trusten
dc.identifier.citationYang, Y., Khuman, A. and Liu, S. (2023) Grey systems and uncertainty modelling. In: Yang, Y. and Liu, S. (Eds.) Emerging studies and applications of grey systems, Singapore: Springer, pp. 59-80en
dc.identifier.doihttps://doi.org/10.1007/978-981-19-3424-7_3
dc.identifier.isbn9789811934247
dc.identifier.issn2731-4944
dc.identifier.urihttps://hdl.handle.net/2086/22599
dc.language.isoenen
dc.projectidIN-2014-020en
dc.publisherSpringeren
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectGrey systemsen
dc.subjectGrey numbersen
dc.subjectGrey setsen
dc.subjectUncertainty modellingen
dc.titleGrey systems and uncertainty modellingen
dc.typeBook chapteren

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