About: INTERPOLATIVITY OF ``AT LEAST--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE     Goto   Sponge   NotDistinct   Permalink

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  • Among the many desirable properties of fuzzy inference systems not all of them are known to co-exist. For instance, a system based on a monotone fuzzy rule base need not be monotonic and interpolative simultaneously. Recently, \v{S}t\v{e}pni\v{c}ka and De Baets have investigated and shown the co-existence of the above two properties in the case of a fuzzy relational inference systems and the single-input-single-output (SISO) rule bases. An extension of these results to the multiple-input-single-output (MISO) case is not straight-forward owing to the lack of a natural ordering in higher dimensions. In this work, we study the MISO case and show that similar results are available when the monotone rule base is modeled based on at-most and at-least modifiers.
  • Among the many desirable properties of fuzzy inference systems not all of them are known to co-exist. For instance, a system based on a monotone fuzzy rule base need not be monotonic and interpolative simultaneously. Recently, \v{S}t\v{e}pni\v{c}ka and De Baets have investigated and shown the co-existence of the above two properties in the case of a fuzzy relational inference systems and the single-input-single-output (SISO) rule bases. An extension of these results to the multiple-input-single-output (MISO) case is not straight-forward owing to the lack of a natural ordering in higher dimensions. In this work, we study the MISO case and show that similar results are available when the monotone rule base is modeled based on at-most and at-least modifiers. (en)
Title
  • INTERPOLATIVITY OF ``AT LEAST--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE
  • INTERPOLATIVITY OF ``AT LEAST--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE (en)
skos:prefLabel
  • INTERPOLATIVITY OF ``AT LEAST--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE
  • INTERPOLATIVITY OF ``AT LEAST--AT MOST'' MODELS OF MONOTONE FUZZY RULE BASES: MULTIPLE-INPUT CASE (en)
skos:notation
  • RIV/61988987:17610/12:A13014MG!RIV13-MSM-17610___
http://linked.open...avai/riv/aktivita
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  • O
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 142510
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17610/12:A13014MG
http://linked.open...riv/jazykVysledku
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  • Monotnicity; Interpolativity; At-least; At-most; Fuzzy relational equations (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FBBE7809C165]
http://linked.open...v/mistoKonaniAkce
  • Istanbul
http://linked.open...i/riv/nazevZdroje
  • Uncertainty Modeling in Knowledge Engineering and Decision Making - Proc. of the 10th International FLINS Conference
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Štěpnička, Martin
  • Jayaram, Balasubramaniam
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • World Scientific
https://schema.org/isbn
  • 978-981-4417-73-0
http://localhost/t...ganizacniJednotka
  • 17610
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