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A New Concept of Fuzzy TOPSIS and Fuzzy Logic in a Multi-criteria Decision

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Recent Advances on Soft Computing and Data Mining (SCDM 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 700))

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Abstract

In reality, humans usually uncertainty or vague in expressing their preference or votes based on crisp number or scale. Much of the information on which decision are based is uncertain, the methods can be used to support the system’s decision is to use Fuzzy Multi-Criteria Decision Making (FMCDM). This method was chosen because it can selecting the best alternative from a number of alternatives Criteria. Fuzzy Multi-Criteria Decision Making (FMCDM) is a method of decision-making to determine the best alternative from a number of alternatives based on certain criteria. The criteria usually in the form of action, rules or standards used in decision making. The lack of capability to handle vagueness in the decision making, has been main weakness of Fuzzy TOPSIS. Thus, the purpose of this paper is to introduce Fuzzy TOPSIS and z-number to several criteria fuzzy group decision making (FMCDM). Fuzzy TOPSIS is used to determine the alternative most suitable in relation to different selection criteria and z-number to present experts reability, this method can choose the best alternative from a number of alternatives based on some specific criteria. A numerical example on FMCDM is used to describe the efficiency of the proposed method.

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Acknowledgements

This research is supported by Dana Penyelidikan Universiti UNISZA/2016/DPU/10, Universiti Sultan Zainal Abidin. This support is gratefully acknowledged.

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Authors and Affiliations

  1. Faculty of Informatics and Computing, University Sultan Zainal Abidin, Tembila Campus, 22200, Besut, Terengganu, Malaysia

    Ratih Fitria Jumarni & Nurnadiah Zamri

Authors
  1. Ratih Fitria Jumarni
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  2. Nurnadiah Zamri
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Correspondence to Ratih Fitria Jumarni .

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Editors and Affiliations

  1. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Rozaida Ghazali

  2. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Mustafa Mat Deris

  3. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia

    Nazri Mohd Nawi

  4. School of Information Technology, Deakin University, Geelong, Victoria, Australia

    Jemal H. Abawajy

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Jumarni, R.F., Zamri, N. (2018). A New Concept of Fuzzy TOPSIS and Fuzzy Logic in a Multi-criteria Decision. In: Ghazali, R., Deris, M., Nawi, N., Abawajy, J. (eds) Recent Advances on Soft Computing and Data Mining. SCDM 2018. Advances in Intelligent Systems and Computing, vol 700. Springer, Cham. https://doi.org/10.1007/978-3-319-72550-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-72550-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72549-9

  • Online ISBN: 978-3-319-72550-5

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