A uniform approach of linguistic truth values in sensor evaluation

  • Authors:
  • Li Zou;Xin Liu;Zhengjiang Wu;Yang Xu

  • Affiliations:
  • School of Computer and Information Technology, Liaoning Normal University, Dalian, People's Republic of China 116029;Mathematics College Liaoning Normal University, Dalian, People's Republic of China 116029;Intelligent Control and Development Center, Southwest Jiaotong University, Chengdu, People's Republic of China 610031;Intelligent Control and Development Center, Southwest Jiaotong University, Chengdu, People's Republic of China 610031

  • Venue:
  • Fuzzy Optimization and Decision Making
  • Year:
  • 2008

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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.