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Measure Methods for DHHFLTSs

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Double Hierarchy Linguistic Term Set and Its Extensions

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 396))

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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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Authors and Affiliations

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

    Prof. Xunjie Gou & Prof. Zeshui Xu

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  1. Prof. Xunjie Gou
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  2. Prof. Zeshui Xu
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Correspondence to Xunjie Gou or Zeshui Xu .

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Gou, X., Xu, Z. (2021). Measure Methods for DHHFLTSs. In: Double Hierarchy Linguistic Term Set and Its Extensions. Studies in Fuzziness and Soft Computing, vol 396. Springer, Cham. https://doi.org/10.1007/978-3-030-51320-7_2

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