Browsing by Author "Muzammil Ali"

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    A Study of TOPSIS in Classical, Fuzzy, Intuitionistic Fuzzy and Neutrosophic Environments
    (University of Management and Technology, 2014) Muzammil Ali
    Multi 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.