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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 99))

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Abstract

This chapter reviews basic concepts of information, fuzzy sets and fuzzy systems. It addresses Shannon’s information theory which is useful for problems of information transfer only; however, it cannot imply structure about information that would be very important for recognizing relationships among factors. The essential natural of fuzzy information is structural, but not transferable. The fuzzy set theory as an algebra is introduced to describe the fuzziness in fuzzy information. Statements produced from incomplete data are true or false to only some degree in a continuous or vague logic. Fuzzy systems are relationships among factors that map inputs to outputs.

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© 2002 Springer-Verlag Berlin Heidelberg

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Huang, C., Shi, Y. (2002). Introduction. In: Towards Efficient Fuzzy Information Processing. Studies in Fuzziness and Soft Computing, vol 99. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1785-0_1

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  • DOI: https://doi.org/10.1007/978-3-7908-1785-0_1

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2511-4

  • Online ISBN: 978-3-7908-1785-0

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