Tamilnadu Omnibus Travels Evaluation Using TOPSIS and Fuzzy TOPSIS Methods

dc.contributor.authorVadivel, S.M.
dc.contributor.authorSequeira, A.H.
dc.contributor.authorJauhar, S.K.
dc.contributor.authorChandana, V.
dc.date.accessioned2026-02-06T06:35:46Z
dc.date.issued2022
dc.description.abstractThis research uses an effective fuzzy multi-criteria method to evaluate the performance of eight omnibus operators in Tamilnadu, India’s southernmost state (MA). The data was gathered from passengers (regular travelers) and the management of omnibus travel operators. Passengers provided qualitative data, while management offered quantitative data. To estimate the omnibus travels effectiveness, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique and Fuzzy TOPSIS were employed to analyze the subjective assessments of both quantitative and qualitative data. Using linguistic concepts, the subjectiveness and inaccuracy of the performance assessment methods are expressed as fuzzy numbers. Traditionally, fuzzy MA models are often used to find the degree of possibility of an alternative of each attribute and sub-attributes to avoid complicated and inaccurate comparisons of fuzzy numbers. Then, grounded on the fuzzy techniques, it is converted into a weighted fuzzy performance index for each alternative. This technique is computationally efficient, and the principles behind it are basic and straightforward to comprehend. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
dc.identifier.citationLecture Notes in Networks and Systems, 2022, Vol.419 LNNS, , p. 24-31
dc.identifier.issn23673370
dc.identifier.urihttps://doi.org/10.1007/978-3-030-96299-9_3
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/30038
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.subjectFuzzy TOPSIS
dc.subjectMulticriteria Decision Making (MCDM)
dc.subjectOmnibus transportation
dc.subjectPerformance measurement
dc.subjectTOPSIS
dc.titleTamilnadu Omnibus Travels Evaluation Using TOPSIS and Fuzzy TOPSIS Methods

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