KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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An Induced Hesitant Linguistic Aggregation Operator and Its Application for Creating Fuzzy Ontology

  • Kong, Mingming (Center for Radio Administration & Technology Development, Xihua University) ;
  • Ren, Fangling (College of Mathematics and Computer Science, Yan'an University) ;
  • Park, Doo-Soon (Department of Computer Software Engineering, Soonchunhyang University) ;
  • Hao, Fei (School of Computer Science, Shaanxi Normal University) ;
  • Pei, Zheng (Center for Radio Administration & Technology Development, Xihua University)
  • Received : 2018.03.05
  • Accepted : 2018.05.18
  • Published : 2018.10.31
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Abstract

An induced hesitant linguistic aggregation operator is investigated in the paper, in which, hesitant fuzzy linguistic evaluation values are associated with probabilistic information. To deal with these hesitant fuzzy linguistic information, an induced hesitant fuzzy linguistic probabilistic ordered weighted averaging (IHFLPOWA) operator is proposed, monotonicity, boundary and idempotency of IHFLPOWA are proved. Then andness, orness and the entropy of dispersion of IHFLPOWA are analyzed, which are used to characterize the weighting vector of the operator, these properties show that IHFLPOWA is extensions of the induced linguistic ordered weighted averaging operator and linguistic probabilistic aggregation operator. In this paper, IHFLPOWA is utilized to gather linguistic information and create fuzzy ontologies, and a movie fuzzy ontology as an illustrative case study is used to show the elaboration of the proposed method and comparison with the existing linguistic aggregation operators, it seems that the IHFLPOWA operator is an useful and alternative operator for dealing with hesitant fuzzy linguistic information with probabilistic information.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, ITRC (Information Technology Research Center), National Research Foundation of Korea, Central Universities

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