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Tamilnadu Omnibus Travels Evaluation Using TOPSIS and Fuzzy TOPSIS Methods

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Innovations in Bio-Inspired Computing and Applications (IBICA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 419))

Abstract

This 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.

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Author information

Authors and Affiliations

  1. Department of Industrial and Production Engineering, The National Institute of Engineering, Mysuru, 570008, India

    S. M. Vadivel & V. Chandana

  2. School of Management, National Institute of Technology Karnataka, Surathkal, 575025, India

    A. H. Sequeira

  3. Indian Institute of Management Kashipur, Kundeshwari, Uttarakhand, 244713, India

    Sunil Kumar Jauhar

Authors
  1. S. M. Vadivel
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  2. A. H. Sequeira
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  3. Sunil Kumar Jauhar
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  4. V. Chandana
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Corresponding author

Correspondence to S. M. Vadivel .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  3. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Anu Bajaj

  6. Faculty of Information Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  7. Vilnius University, Kaunas, Lithuania

    Dalia Kriksciuniene

  8. Lisbon University Institute, Lisbon, Portugal

    João Carlos Ferreira

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Vadivel, S.M., Sequeira, A.H., Jauhar, S.K., Chandana, V. (2022). Tamilnadu Omnibus Travels Evaluation Using TOPSIS and Fuzzy TOPSIS Methods. In: Abraham, A., et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_3

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