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Measure Methods for DHHFLTSs

  • Xunjie GouEmail author
  • Zeshui XuEmail author
Chapter
  • 4 Downloads
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 396)

Abstract

In decision-making processes, measure methods, such as distance and similarity measures, correlation measure, entropy and cross entropy measure, etc., play an important role in many research fields including decision-making (Liao et al. 2015b; Xu and Wang 2011; Xu and Xia 2011), pattern recognition (Arevalillo-Herráez et al. 2013; Li et al. 1993), intelligent computing (Chen et al. 2010), recommended system (Liao et al. 2014), distance learning techniques (Gao et al. 2017), electricity markets (Gao et al. 2018), and ontological sparse vector learning (Gao et al. 2015), etc.

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Business SchoolSichuan UniversityChengduChina

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