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Fuzziness in Software Engineering

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On Fuzziness

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 299))

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Abstract

This paper contains my memories on how did I arrive to field of fuzziness and personal views on present stage and expectation on fuzziness. Main message is: go back to roots and start with real world problems, large scale data and solutions like L. A. Zadeh did 50 years ago in his applications which emerged into fuzzy theory. I will illustrate these on some examples from software engineering applications, especially mining user preferences (in the form of fuzzy functions) for web search. The perspective is to develop reliable measurement of fuzzy sets and operators for commercial use (control and web applications are different).

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Vojtáš, P. (2013). Fuzziness in Software Engineering. In: Seising, R., Trillas, E., Moraga, C., Termini, S. (eds) On Fuzziness. Studies in Fuzziness and Soft Computing, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35644-5_44

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  • DOI: https://doi.org/10.1007/978-3-642-35644-5_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35643-8

  • Online ISBN: 978-3-642-35644-5

  • eBook Packages: EngineeringEngineering (R0)

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