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dc.contributor.authorCase, Ryan
dc.contributor.otherQueen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))en
dc.date2016-04-28 18:23:20.96en
dc.date.accessioned2016-04-28T22:56:45Z
dc.date.available2016-04-28T22:56:45Z
dc.date.issued2016-04-28
dc.identifier.urihttp://hdl.handle.net/1974/14322
dc.descriptionThesis (Master, Computing) -- Queen's University, 2016-04-28 18:23:20.96en
dc.description.abstractThe theory of Markov chains has been applied successfully in several situations, for example in the PageRank algorithm which powers Google search. In this thesis we study the foundations of fuzzy logic and Markov chains before introducing fuzzy Markov chains. Fuzzy Markov chains were introduced in 1970 as an alternative to the usual Markov chains and have some interesting properties that may make them more desirable for some applications. We will consider some of these properties and see how they differ from the usual Markov chains. We will also study an application of fuzzy Markov chains called FuzzRank, a twist on the aforementioned PageRank algorithm used for web search. Finally, we will consider a further generalization of the fuzzy Markov chains where we allow some flexibility in the operations we use during matrix multiplication to compute our results.en_US
dc.languageenen
dc.language.isoenen_US
dc.relation.ispartofseriesCanadian thesesen
dc.rightsQueen's University's Thesis/Dissertation Non-Exclusive License for Deposit to QSpace and Library and Archives Canadaen
dc.rightsProQuest PhD and Master's Theses International Dissemination Agreementen
dc.rightsIntellectual Property Guidelines at Queen's Universityen
dc.rightsCopying and Preserving Your Thesisen
dc.rightsCreative Commons - Attribution - CC BYen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectFuzzy Set Theoryen_US
dc.subjectPageRanken_US
dc.subjectFuzzRanken_US
dc.subjectFuzzy Markov Chainen_US
dc.titleFuzzy Markov Chains and Experiments with FuzzRank, an Alternative to PageRanken_US
dc.typethesisen_US
dc.description.degreeMasteren
dc.contributor.supervisorDawes, Robinen
dc.contributor.departmentComputingen


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