Introduction to fuzzy logic

Artificial Intelligence Methods in the Environmental Sciences

Volumn , Issue , 2009, Pages 127-151

  Williams, John K ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84885804612     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4020-9119-3_6     Document Type: Chapter

References (16)

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10. Takagi, T.,&Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Man and Cybernetics, 15, 116-132.
11. Tanaka, K. (1996). An introduction to fuzzy logic for practical applications (T. Tiimura, Trans., 138 pp.). New York: Springer.
12. Vivekanandan, J., Zrnic, D. S., Ellis, S. M., Oye, R., Ryzhkov, A. V., & Straka, J. (1999). Cloud microphysics retrieval using S-band dual polarization radar measurements. Bulletin of American Meteorological Society, 80, 381-388. (Pubitemid 129568517)
13. Williams, J. K., & Vivekanandan, J. (2007). Sources of error in dual-wavelength radar remote sensing of cloud liquid water content. Journal of Atmospheric and Oceanic Technology, 24, 1317-1336. (Pubitemid 47411002)
14. Yager, R. R., Ovchinnikov, S., Tong, R. M., & Nguyen, H. T. (Eds.) (1987). Fuzzy sets and applications: Selected papers by L. A. Zadeh (684 pp.). New York: Wiley.
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