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International Conference on Intelligence of Things

ICIT 2022: Intelligence of Things: Technologies and Applications pp 32–43Cite as

An Intelligent Method Based on Dissimilarity Measure Picture Fuzzy and Apply to Supplier Selection

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Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 148)

Abstract

Supplier selection is the MCDM problem determining the optimal choice among the possible alternatives. This problem had inaccurate and vague information on alternatives. It may also be due to an inadequate understanding of the group of decision-makers on the criteria or alternatives. Classical techniques are known to have difficulty dealing with such situations. The picture fuzzy set theory is one of the adaptive intelligent tools that can be used to handle such situations. This article proposes the MCDM method called picture fuzzy TOPSIS. In which, the value of each alternative and the weight of criteria is evaluated by the decision-maker over the linguistic variables whose values are picture fuzzy numbers. Finally, a numerical example is given illustrating the proposed method.

Keywords

  • Picture fuzzy set
  • TOPSIS
  • MCDM

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Authors and Affiliations

  1. Faculty of Information Technology, Vietnam National University of Agriculture, Hanoi, Vietnam

    Nguyen Xuan Thao & Quang-Dung Pham

Authors
  1. Nguyen Xuan Thao
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  2. Quang-Dung Pham
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Corresponding author

Correspondence to Quang-Dung Pham .

Editor information

Editors and Affiliations

  1. Wroclaw University of Science and Technology, Wrocław, Poland

    Ngoc-Thanh Nguyen

  2. Sejong University, Seoul, Korea (Republic of)

    Nhu-Ngoc Dao

  3. Vietnam National University of Agriculture, Hanoi, Vietnam

    Quang-Dung Pham

  4. Hanoi University of Mining and Geology, Hanoi, Vietnam

    Hong Anh Le

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Thao, N.X., Pham, QD. (2022). An Intelligent Method Based on Dissimilarity Measure Picture Fuzzy and Apply to Supplier Selection. In: Nguyen, NT., Dao, NN., Pham, QD., Le, H.A. (eds) Intelligence of Things: Technologies and Applications . ICIT 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 148. Springer, Cham. https://doi.org/10.1007/978-3-031-15063-0_3

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