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Linguistic Summarization Based on the Inherent Semantics of Linguistic Words

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Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10758))

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Abstract

Linguistic summarization provides an explicit, concise and easily understandable description expressed in natural language of huge amount of data for human. The result of extracting linguistic summaries is natural language sentences using given sets of words for each numeric attribute. In general, the word-set is always assumed to be of only \(7 \pm 2\) words represented by fuzzy sets. The interpretability of linguistic summarization depends mainly on this fuzzy set representation of the words. In this paper, we consider the given word-set for each attribute as a linguistic frame of cognition LFoC of this attribute whose size depends only on application requirement. We propose a linguistic summary method based on multi-granularity representations of this LFoCs that can preserve order-based semantics relation and generality-specificity relation of words. Theoretically, the number of words in LFoC are not limited. A simulation study using dataset Iris shows that the proposed method can extract sentences using words of length 3 characterizing dataset Iris that other existing ones cannot do.

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References

  1. Almeida, R.J., Lesot, M.J., Bouchon-Meunier, B., Kaymak, U.: Linguistic summaries of categorical time series for septic shock patient data. In: IEEE International Conference on Fuzzy Systems, pp. 1–8 (2013)

    Google Scholar 

  2. Boran, F.E., Akey, D., Yager, R.R.: An overview of methods for linguistic summarization with fuzzy sets. Expert Syst. Appl. 61, 356–377 (2016)

    Article  Google Scholar 

  3. Donis-Daz, C.A., Muro, A.G., Bello-Prez, R., Morales, E.V.: A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data. Expert Syst. Appl. 41, 2035–2042 (2014)

    Article  Google Scholar 

  4. Kacprzyk, J., Yager, R.R.: Linguistic summaries of data using fuzzy logic. Int. J. Gen Syst 30, 133–154 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  5. Kacprzyk, J., Zadrozny, S.: Linguistic database summaries and their protoforms: toward natural language based knowledge discovery tools. Inf. Sci. 173, 281–304 (2005)

    Article  MathSciNet  Google Scholar 

  6. Kacprzyk, J., Zadrozny, S.: Comprehensiveness and interpretability of linguistic data summaries: a natural language focused perspective. In: IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI), pp. 33–40 (2013)

    Google Scholar 

  7. Kacprzyk, J., Zadrozny, S.: Linguistic summarization of the contents of Web server logs via the Ordered Weighted Averaging (OWA) operators. Fuzzy Sets Syst. 285, 182–198 (2016)

    Article  MathSciNet  Google Scholar 

  8. Nguyen, C.H., Wechler, W.: Hedge algebras: an algebraic approach to strutures of sets of linguistic domains of linguistic truth variables. Fuzzy Sets Syst. 35, 281–293 (1990)

    Article  MATH  Google Scholar 

  9. Nguyen, C.H., Wechler, W.: Extended algebra and their application to fuzzy logic. Fuzzy Sets Syst. 52, 259–281 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  10. Nguyen, C.H., Tran, T.S., Pham, D.P.: Modeling of a semantics core of linguistic terms based on an extension of hedge algebra semantics and its application. Knowl.-Based Syst. 67, 244–262 (2014)

    Article  Google Scholar 

  11. Nguyen, C.H., Hoang, V.T., Nguyen, V.L.: A discussion on interpretability of linguistic rule based systems and its application to solve regression problems. Knowl.-Based Syst. 88, 107–133 (2015)

    Article  Google Scholar 

  12. Mencar, C., Castiello, C., Cannone, R., Fanelli, A.M.: Interpretability assessment of fuzzy knowledge bases: a cointension based approach. Int. J. Approx. Reason. 52, 501–518 (2011)

    Article  MathSciNet  Google Scholar 

  13. Vukadinovi, D., Bai, M., Nguyen, C.H., Vu, N.L., Nguyen, T.D.: Hedge-algebra-based voltage controller for a self-excited induction generator. Control Eng. Pract. 30, 78–90 (2014)

    Article  Google Scholar 

  14. Wilbik, A.: Linguistic summaries of the time series using fuzzy sets and their protoform for performance analysis of mutual funds. Ph.D. Dissertation (2010)

    Google Scholar 

  15. Wilbik, A., Keller, J., Bezdek, J.: Linguistic prototypes for data from eldercare residents. IEEE Trans. Fuzzy Syst. 22(1), 110–123 (2014)

    Article  Google Scholar 

  16. Yager, R.R.: A new approach to the summarization of data. Inf. Sci. 28, 69–86 (1982)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This research was supported by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under Grant No 102.01-2017.06; The Vietnam Academy of Science and Technology (VAST) under Grant No VAST01.07/17-18 and the Hanoi National University of Education under No SPHN17-04.

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Authors and Affiliations

  1. The Faculty of Information Technology, HNUE, Hanoi, Vietnam

    Thi Lan Pham & Cam Ha Ho

  2. Institute of Fundamental Research and Application, Duy Tan University, Danang, Vietnam

    Cat Ho Nguyen

  3. Institute of Information Technology, VAST, Hanoi, Vietnam

    Cat Ho Nguyen

Authors
  1. Thi Lan Pham
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  2. Cam Ha Ho
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  3. Cat Ho Nguyen
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Corresponding author

Correspondence to Thi Lan Pham .

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Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Van-Nam Huynh

  2. Osaka University, Osaka, Japan

    Masahiro Inuiguchi

  3. Hanoi National University of Education, Hanoi, Vietnam

    Dang Hung Tran

  4. Université de Technologie de Compiègne, Compiègne, France

    Thierry Denoeux

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Pham, T.L., Ho, C.H., Nguyen, C.H. (2018). Linguistic Summarization Based on the Inherent Semantics of Linguistic Words. In: Huynh, VN., Inuiguchi, M., Tran, D., Denoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2018. Lecture Notes in Computer Science(), vol 10758. Springer, Cham. https://doi.org/10.1007/978-3-319-75429-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-75429-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75428-4

  • Online ISBN: 978-3-319-75429-1

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