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Volumn , Issue , 2006, Pages 29-34

Air quality assessment using Fuzzy Lattice Reasoning (FLR)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL INFORMATION MANAGEMENT; FUZZY LATTICE REASONING (FLR); KNOWLEDGE CLASSIFICATION;

EID: 34250696411     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2006.1681690     Document Type: Conference Paper
Times cited : (15)

References (15)
  • 1
    • 34250768537 scopus 로고    scopus 로고
    • I. N. Athanasiadis, P. A. Mitkas, Supporting the Decision-Making Process in Environmental Monitoring Systems with Knowledge Discovery Techniques, Knowledge-based Services for the Public Sector Symposium: Workshop III: Knowledge Discovery for Environmental Management, H. Voss, M. Wachowicz, S. Dzeroski, and A. Lanza (eds), Bonn, Germany, KDnet, June 2004, pp.1-12
    • I. N. Athanasiadis, P. A. Mitkas, "Supporting the Decision-Making Process in Environmental Monitoring Systems with Knowledge Discovery Techniques", Knowledge-based Services for the Public Sector Symposium: Workshop III: Knowledge Discovery for Environmental Management, H. Voss, M. Wachowicz, S. Dzeroski, and A. Lanza (eds), Bonn, Germany, KDnet, June 2004, pp.1-12
  • 2
    • 77955050797 scopus 로고    scopus 로고
    • Contemporary air quality forecasting methods: A comparative analysis between statistical methods and classification algorithms
    • Valencia, March
    • I. N. Athanasiadis, K. Karatzas and P. Mitkas, "Contemporary air quality forecasting methods: A comparative analysis between statistical methods and classification algorithms", 5th International Conference on Urban Air Quality, Valencia, March 2005.
    • (2005) 5th International Conference on Urban Air Quality
    • Athanasiadis, I.N.1    Karatzas, K.2    Mitkas, P.3
  • 4
    • 34250742234 scopus 로고
    • Lattice Theory, Providence
    • American Mathematical Society
    • G. Birkhoff, Lattice Theory, Providence, RI: Colloquium Publications (American Mathematical Society), 1967.
    • (1967) RI: Colloquium Publications
    • Birkhoff, G.1
  • 5
    • 0141871013 scopus 로고
    • Adaptive Resonance Theory with Supervised Learning and Large Database Applications
    • Ph.D. Dissertation, Dept. Elect. Eng, Univ. of Nevada, Reno, NV
    • V.G. Kaburlasos, "Adaptive Resonance Theory with Supervised Learning and Large Database Applications", Ph.D. Dissertation, Dept. Elect. Eng., Univ. of Nevada, Reno, NV, 1992.
    • (1992)
    • Kaburlasos, V.G.1
  • 6
    • 0034548913 scopus 로고    scopus 로고
    • Fuzzy lattice neurocomputing (FLN) models
    • V. G. Kaburlasos and V. Petridis. Fuzzy lattice neurocomputing (FLN) models. Neural Networks, 13(10):1145-1170, 2000.
    • (2000) Neural Networks , vol.13 , Issue.10 , pp. 1145-1170
    • Kaburlasos, V.G.1    Petridis, V.2
  • 7
    • 0141689984 scopus 로고    scopus 로고
    • Learning and decision-making in the framework of fuzzy lattices
    • L.C. Jain and J. Kacprzyk, Eds, Heidelberg, Germany: Physica-Verlag
    • V. G. Kaburlasos and V. Petridis. Learning and decision-making in the framework of fuzzy lattices. In New Learning Paradigms in Soft Computing, L.C. Jain and J. Kacprzyk, Eds, vol. 84, pp. 55-96, 2002, Heidelberg, Germany: Physica-Verlag.
    • (2002) New Learning Paradigms in Soft Computing , vol.84 , pp. 55-96
    • Kaburlasos, V.G.1    Petridis, V.2
  • 8
    • 0032165292 scopus 로고    scopus 로고
    • Fuzzy Lattice Neural Network (FLNN): A hybrid model for learning
    • V. Petridis, V.G. Kaburlasos, Fuzzy Lattice Neural Network (FLNN): A hybrid model for learning, IEEE Transactions on Neural Networks. 9 (5) (1998) 877-890.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.5 , pp. 877-890
    • Petridis, V.1    Kaburlasos, V.G.2
  • 11
    • 33947355227 scopus 로고    scopus 로고
    • Novel fuzzy inference system (FIS) analysis and design based on lattice theory, part I: Working principles
    • in press
    • V.G. Kaburlasos, A. Kehagias, Novel fuzzy inference system (FIS) analysis and design based on lattice theory, part I: Working principles. International Journal of General Systems, 2006 (in press).
    • (2006) International Journal of General Systems
    • Kaburlasos, V.G.1    Kehagias, A.2
  • 12
    • 34250704542 scopus 로고    scopus 로고
    • Novel fuzzy inference system (FIS) analysis and design based on lattice theory, part II: Industrial system modeling
    • accepted
    • V.G. Kaburlasos, A. Kehagias, Novel fuzzy inference system (FIS) analysis and design based on lattice theory, part II: Industrial system modeling. IEEE Transactions on Fuzzy Systems, 2006 (accepted).
    • (2006) IEEE Transactions on Fuzzy Systems
    • Kaburlasos, V.G.1    Kehagias, A.2
  • 13
    • 34250742233 scopus 로고    scopus 로고
    • V.G. Kaburlasos, S.E. Papadakis, Granular Self-Organizing Map (grSOM) for Structure Identification, Neural Networks, (in press; available online: Sept. 2005).
    • V.G. Kaburlasos, S.E. Papadakis, "Granular Self-Organizing Map (grSOM) for Structure Identification", Neural Networks, (in press; available online: Sept. 2005).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.