A Study of TOPSIS in Classical, Fuzzy, Intuitionistic Fuzzy and Neutrosophic Environments

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dc.contributor.authorMuzammil Ali
dc.date.accessioned2018-01-11T04:38:15Z
dc.date.available2018-01-11T04:38:15Z
dc.date.issued2014
dc.descriptionSupervised by:Dr. Muhammad Saeeden_US
dc.description.abstractMulti Criteria Decision Making uses different techniques to find a best alternative from multi-alternative and multi-criteria conditions. TOPSIS is an important practical technique for ranking and selection of different alternatives by using distance measures. Classical TOPSIS uses crisp techniques for the linguistic assessments, but due to imprecise and fuzziness nature of the linguistic assessments, there must be some tools to deal with the vague information. Therefore, it is necessary to involve fuzzy techniques (FS, IFS and NS). In this thesis, the algorithms of crisp TOSIS, Fuzzy TOPSIS, Intuitionistic Fuzzy TOPSIS and Neutrosophic TOPSIS are discussed. Examples related to each type of TOPSIS are solved. Finally, it is tried to compare all the discussed techniques.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/2423
dc.language.isoenen_US
dc.publisherUniversity of Management and Technologyen_US
dc.subjectFuzzy TOPSISen_US
dc.subjectNeutrosophicen_US
dc.subjectMS Thesisen_US
dc.titleA Study of TOPSIS in Classical, Fuzzy, Intuitionistic Fuzzy and Neutrosophic Environmentsen_US
dc.titleA study of topsis in classical, fuzzy, intuitionistic fuzzy and neutrosophic environmentsen_us
dc.typeThesisen_US
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