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Background: Fuzzy Rule Interpolation

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Backward Fuzzy Rule Interpolation

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Abstract

Conventional fuzzy reasoning methods such as Mamdani (Int J Man Mach Stud:7, 1975, [1]) and TSK (Fuzzy Sets Syst 28:15–33, 1988, [2], IEEE Trans Syst Man Cybern 1:116–132, 1985, [3]) require that the rule bases are dense. That is, the input universe of discourse is covered completely by the rule base.

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Authors and Affiliations

  1. College of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China

    Shangzhu Jin & Jun Peng

  2. Institute of Mathematics, Physics and Computer Science, Aberystwyth University, Aberystwyth, UK

    Qiang Shen

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  1. Shangzhu Jin
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  2. Qiang Shen
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  3. Jun Peng
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Correspondence to Shangzhu Jin .

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Jin, S., Shen, Q., Peng, J. (2019). Background: Fuzzy Rule Interpolation. In: Backward Fuzzy Rule Interpolation. Springer, Singapore. https://doi.org/10.1007/978-981-13-1654-8_2

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