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A uniform approach of linguistic truth values in sensor evaluation

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Abstract

During the sensor evaluation procedure, each valuator uses his/her own ordinary linguistic truth values for the same factor because of different preference. That will brings some disadvantages to aggregate the information. For a uniform criterion, the standard linguistic truth value (SLTV) set is proposed. Based on the former hypothesis of transformation models of linguistic truth values, four transformation models are discussed: the model of point to point, the model of fuzzy set to point, the model of point to fuzzy set and the model of fuzzy set to fuzzy set. An example is to analyze it. Using the applicability measure we can choose appropriate SLTV for the different sensory evaluation system.

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Abbreviations

SLTV:

Standard linguistic truth value

OLTV:

Ordinary linguistic truth value

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Authors and Affiliations

  1. School of Computer and Information Technology, Liaoning Normal University, No. 850 Huanghe Road, Dalian, 116029, People’s Republic of China

    Li Zou

  2. Mathematics College Liaoning Normal University, Dalian, 116029, People’s Republic of China

    Xin Liu

  3. Intelligent Control and Development Center, Southwest Jiaotong University, Chengdu, 610031, Sichuan, People’s Republic of China

    Zhengjiang Wu & Yang Xu

Authors
  1. Li Zou
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  2. Xin Liu
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  3. Zhengjiang Wu
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  4. Yang Xu
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Correspondence to Li Zou.

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Zou, L., Liu, X., Wu, Z. et al. A uniform approach of linguistic truth values in sensor evaluation. Fuzzy Optim Decis Making 7, 387–397 (2008). https://doi.org/10.1007/s10700-008-9046-x

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  • DOI: https://doi.org/10.1007/s10700-008-9046-x

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