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Generalized T-norm and Fractional “AND” Operation Model

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Rough Sets and Knowledge Technology (RSKT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4062))

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Abstract

In the process of uncertainties reasoning with universal logic, T-norm is the mathematical model of “AND” operation. T-norm and T-generator were defined on interval [0,1] in previous work. In the recent relational work, authors put forward fractional logic based on continuous radix [a, b]. This paper studied the T-norm and T-generator on any interval [a, b], discussed the two kinds of generalized T-generators: “Automorphic increase T-generator” and “Infinite decrease T-generator”. Authors found and proved the useful and important theorem: “generating theorem of generalized T-norm”. Using the integrated clusters of generalized T-norm and T-generator, authors gave the mathematical generating method for “AND” operation model of fractional logic based on any interval [a, b]. The operation model is already used to uncertainties reasoning and flexible control now.

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© 2006 Springer-Verlag Berlin Heidelberg

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Chen, Z., Mao, M., He, H., Yang, W. (2006). Generalized T-norm and Fractional “AND” Operation Model. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_85

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  • DOI: https://doi.org/10.1007/11795131_85

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36297-5

  • Online ISBN: 978-3-540-36299-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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