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The Decision Making Method Based on the New Distance Measure and Similarity Measure

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Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications

Part of the book series: Uncertainty and Operations Research ((UOR))

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Abstract

The distance measure is an important part of the intuitionistic fuzzy set theory. Previous research of the distance measures mainly focuses on aggregating the intuitionistic fuzzy information of the weighted attributes while ignores the influence of the relationships between different attributes. This chapter aims at proposing a more appropriate distance measure which considers not only the importance of different weighted attributes but also the competition of them. Then a novel similarity measure for intuitionistic fuzzy information and the decision-making method are developed based on the new distance measure. A practical case study is presented to demonstrate the validity of the proposed methods in this chapter.

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Author information

Authors and Affiliations

  1. Command and Control Engineering College, Army Engineering University of PLA, Nanjing, China

    Zhinan Hao

  2. Business School, Sichuan University, Chengdu, China

    Zeshui Xu

  3. Department of General Education, Army Engineering University of PLA, Nanjing, China

    Hua Zhao

Authors
  1. Zhinan Hao
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  2. Zeshui Xu
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  3. Hua Zhao
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Corresponding author

Correspondence to Zhinan Hao .

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Hao, Z., Xu, Z., Zhao, H. (2020). The Decision Making Method Based on the New Distance Measure and Similarity Measure. In: Several Intuitionistic Fuzzy Multi-Attribute Decision Making Methods and Their Applications. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-15-3891-9_2

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