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Regression Analysis Models Under the Hesitant Fuzzy Environment

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Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications

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

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Abstract

The complexity of practical problems generates lots of uncertain information, which brings great challenges to the study of regression analysis.

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Author information

Authors and Affiliations

  1. Simulation Lab, Army Aviation Institute, Beijing, China

    Chenyang Song

  2. Business School, Sichuan University, Chengdu, Sichuan, China

    Zeshui Xu

Authors
  1. Chenyang Song
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  2. Zeshui Xu
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Corresponding author

Correspondence to Chenyang Song .

Appendix

Appendix

This appendix provides the pseudo codes of the Levenberg–Marquardt method and 30 sets of simulation samples.

  1. (1)

    Algorithm 1 Levenberg–Marquardt method

figure a
  1. (2)

    Simulation samples

    See Table 5.10.

    Table 5.10 The values of factors and risk occurrence
    Full size table

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Song, C., Xu, Z. (2021). Regression Analysis Models Under the Hesitant Fuzzy Environment. In: Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications . Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-16-5800-6_5

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