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Fuzzy Linguistic Data Summaries as a Human Consistent, User Adaptable Solution to Data Mining

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Do Smart Adaptive Systems Exist?

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 173))

16.5 Concluding Remarks

In this chapter we have presented an interactive, fuzzy logic based approach to the linguistic summarization of databases, and have advocated it as a means to obtain human consistent summaries of (large) sets of data. Such “raw” sets of data are incomprehensible by the human being, while they linguistic summaries are easily comprehensible. Our intention was to show it as an example of a simple inexpensive information technology that can be implementable even in small companies, and is easily adaptable to varying needs of the users, their preferences, profiles, and proficiency.

Moreover, through the use of Zadeh’s computing with words and perceptions paradigm, and of protoforms we have attained the above characteristics to a higher extent and at a lower cost and effort.

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Author information

Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    J. Kacprzyk & S. Zadrożny

  2. Warsaw School of Information Technology (WSISiZ), ul. Newelska 6, 01-447, Warsaw, Poland

    J. Kacprzyk

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  1. J. Kacprzyk
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  2. S. Zadrożny
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Editors and Affiliations

  1. School of Design, Engineering & Computing, Bournemouth University, Poole House, Talbot Campus, Fern Barrow, Poole, BH12 5BB, UK

    Bogdan Gabrys

  2. Department of Process Engineering, Control Engineering Laboratory, University Oulu, P.O.Box 4300, 90014, Oulu, Finland

    Kauko Leiviskä

  3. Institut für Mechanik, Lehrstuhl für Technische Dynamik, Universität Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany

    Jens Strackeljan

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Kacprzyk, J., Zadrożny, S. (2005). Fuzzy Linguistic Data Summaries as a Human Consistent, User Adaptable Solution to Data Mining. In: Gabrys, B., Leiviskä, K., Strackeljan, J. (eds) Do Smart Adaptive Systems Exist?. Studies in Fuzziness and Soft Computing, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32374-0_16

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  • DOI: https://doi.org/10.1007/3-540-32374-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

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