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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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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