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Genetic learning of fuzzy integrals accumulating human-reported environmental stress

(2011) APPLIED SOFT COMPUTING. 11(1). p.305-314
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Keywords
Fuzzy integrals, Annoyance models, Genetic optimization, Maxitive fuzzy measure, DENL, FRAMEWORK, CONFIDENCE-INTERVALS, DECISION-MAKING, NOISE ANNOYANCE

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Citation

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

Chicago
Verkeyn, A, Dick Botteldooren, and Bernard De Baets. 2011. “Genetic Learning of Fuzzy Integrals Accumulating Human-reported Environmental Stress.” Applied Soft Computing 11 (1): 305–314.
APA
Verkeyn, A, Botteldooren, D., & De Baets, B. (2011). Genetic learning of fuzzy integrals accumulating human-reported environmental stress. APPLIED SOFT COMPUTING, 11(1), 305–314.
Vancouver
1.
Verkeyn A, Botteldooren D, De Baets B. Genetic learning of fuzzy integrals accumulating human-reported environmental stress. APPLIED SOFT COMPUTING. 2011;11(1):305–14.
MLA
Verkeyn, A, Dick Botteldooren, and Bernard De Baets. “Genetic Learning of Fuzzy Integrals Accumulating Human-reported Environmental Stress.” APPLIED SOFT COMPUTING 11.1 (2011): 305–314. Print.
@article{2041565,
  author       = {Verkeyn, A and Botteldooren, Dick and De Baets, Bernard},
  issn         = {1568-4946},
  journal      = {APPLIED SOFT COMPUTING},
  keyword      = {Fuzzy integrals,Annoyance models,Genetic optimization,Maxitive fuzzy measure,DENL,FRAMEWORK,CONFIDENCE-INTERVALS,DECISION-MAKING,NOISE ANNOYANCE},
  language     = {eng},
  number       = {1},
  pages        = {305--314},
  title        = {Genetic learning of fuzzy integrals accumulating human-reported environmental stress},
  url          = {http://dx.doi.org/10.1016/j.asoc.2009.11.021},
  volume       = {11},
  year         = {2011},
}

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