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Implication-based models of monotone fuzzy rule bases

(2013) FUZZY SETS AND SYSTEMS. 232. p.134-155
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Keywords
MAMDANI-ASSILIAN MODELS, INFERENCE, SYSTEMS, DEFUZZIFICATION, At least and at most modifiers, Defuzzification, Monotonicity, Fuzzy rule-based models, Implicative models

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Citation

Please use this url to cite or link to this publication:

MLA
Stepnicka, Martin, and Bernard De Baets. “Implication-based Models of Monotone Fuzzy Rule Bases.” FUZZY SETS AND SYSTEMS 232 (2013): 134–155. Print.
APA
Stepnicka, Martin, & De Baets, B. (2013). Implication-based models of monotone fuzzy rule bases. FUZZY SETS AND SYSTEMS, 232, 134–155. Presented at the 11th International conference on Fuzzy Sets: Theory and Applications (FSTA).
Chicago author-date
Stepnicka, Martin, and Bernard De Baets. 2013. “Implication-based Models of Monotone Fuzzy Rule Bases.” Fuzzy Sets and Systems 232: 134–155.
Chicago author-date (all authors)
Stepnicka, Martin, and Bernard De Baets. 2013. “Implication-based Models of Monotone Fuzzy Rule Bases.” Fuzzy Sets and Systems 232: 134–155.
Vancouver
1.
Stepnicka M, De Baets B. Implication-based models of monotone fuzzy rule bases. FUZZY SETS AND SYSTEMS. 2013;232:134–55.
IEEE
[1]
M. Stepnicka and B. De Baets, “Implication-based models of monotone fuzzy rule bases,” FUZZY SETS AND SYSTEMS, vol. 232, pp. 134–155, 2013.
@article{4207870,
  author       = {{Stepnicka, Martin and De Baets, Bernard}},
  issn         = {{0165-0114}},
  journal      = {{FUZZY SETS AND SYSTEMS}},
  keywords     = {{MAMDANI-ASSILIAN MODELS,INFERENCE,SYSTEMS,DEFUZZIFICATION,At least and at most modifiers,Defuzzification,Monotonicity,Fuzzy rule-based models,Implicative models}},
  language     = {{eng}},
  location     = {{Liptovsky Jan, Slovakia}},
  pages        = {{134--155}},
  title        = {{Implication-based models of monotone fuzzy rule bases}},
  url          = {{http://dx.doi.org/10.1016/j.fss.2013.07.019}},
  volume       = {{232}},
  year         = {{2013}},
}

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