Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/3057
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorKumova, Bora İsmailen
dc.contributor.authorÇakır, Hüseyin-
dc.date.accessioned2014-07-22T13:50:48Z-
dc.date.available2014-07-22T13:50:48Z-
dc.date.issued2010en
dc.identifier.urihttp://hdl.handle.net/11147/3057-
dc.descriptionThesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2010en
dc.descriptionIncludes bibliographical references (leaves: 44-45)en
dc.descriptionText in English; Abstract: Turkish and Englishen
dc.descriptionx, 65 leavesen
dc.description.abstractA syllogism, also known as a rule of inference or logical appeals, is a formal logical scheme used to draw a conclusion from a set of premises. It is a form of deductive reasoning that conclusion inferred from the stated premises. The syllogistic system consists of systematically combined premises and conclusions to so called figures and moods. The syllogistic system is a theory for reasoning, developed by Aristotle, who is known as one of the most important contributors of the western thought and logic. Since Aristotle, philosophers and sociologists have successfully modelled human thought and reasoning with syllogistic structures. However, a major lack was that the mathematical properties of the whole syllogistic system could not be fully revealed by now. To be able to calculate any syllogistic property exactly, by using a single algorithm, could indeed facilitate modelling possibly any sort of consistent, inconsistent or approximate human reasoning. In this work generic fuzzifications of sample invalid syllogisms and formal proofs of their validity with set theoretic representations are presented. Furthermore, the study discuss the mapping of sample real-world statements onto those syllogisms and some relevant statistics about the results gained from the algorithm applied onto syllogisms. By using this syllogistic framework, it can be used in various fields that can uses syllogisms as inference mechanisms such as semantic web, object oriented programming and data mining reasoning processes.en
dc.language.isoenen_US
dc.publisherIzmir Institute of Technologyen
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.lcshArtifical intelligenceen
dc.subject.lcshFuzzy algorithmsen
dc.titleDevelopment of fuzzy syllogistic algorithms and applications distributed reasoning approachesen_US
dc.typeMaster Thesisen_US
dc.institutionauthorÇakır, Hüseyin-
dc.departmentIzmir Institute of Technology. Computer Engineeringen
dc.relation.publicationcategoryTezen_US
item.fulltextWith Fulltext-
item.openairetypeMaster Thesis-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
Files in This Item:
File Description SizeFormat 
T000880.pdfMasterThesis973.85 kBAdobe PDFThumbnail
View/Open
Show simple item record

CORE Recommender

Page view(s)

34
checked on Nov 28, 2022

Download(s)

30
checked on Nov 28, 2022

Google ScholarTM

Check


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