A novel fuzzy classifier based on product aggregation operator

Pattern Recognition

Volumn 41, Issue 3, 2008, Pages 961-971

  Ghosh, Ashish ^a   Meher, Saroj K ^a   Uma Shankar, B ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Aggregation operators; Fuzzy classifier; Pattern recognition; Remote sensing images

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY SETS; REMOTE SENSING;

AGGREGATION OPERATORS; FUZZY CLASSIFIER; REMOTE SENSING IMAGES;

PATTERN RECOGNITION;

EID: 35448998903     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2007.08.002     Document Type: Article

References (44)

1. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification. second ed. (2001), Wiley Interscience Publications
2. Tou J.T., and Gonzalez R.C. Pattern Recognition Principles (1974), Addition-Wesley, Reading, MA
3. Tveter D. The Pattern Recognition Basis of Artificial Intelligence (1998), Wiley-IEEE Computer Society Press
4. Chen C.H., Pau L.F., and Wang P.S.P. Handbook of Pattern Recognition and Computer Vision (1993), World Scientific, Singapore
5. Watson A.B. Digital Images and Human Vision (1993), The MIT Press, Cambridge
6. Haykin S. Neural Networks: A Comprehensive Foundation. second ed. (1998), Prentice-Hall, Englewood Cliffs, NJ
7. Ripley B.D. Pattern Recognition and Neural Networks (1996), Cambridge University Press, Cambridge
8. Zadeh L.A. Fuzzy sets. Inf. Control 8 (1965) 338-353
9. Zimmermann H.J. Fuzzy Set Theory and its Applications. fourth ed. (2001), Kluwer Academic Publishers, Dordrecht
10. Klir G.J., and Yuan B. Fuzzy Sets and Fuzzy Logic: Theory and Applications (1997), Prentice-Hall, India
11. Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley, Reading, MA
12. Kuncheva L.I. Fuzzy Classifier Design (2000), Springer, Berlin
13. Maselli F., Rodolfi A., and Copnese C. Fuzzy classification of spatially degraded thematic mapper data for the estimation of sub-pixel components. Int. J. Remote Sensing 17 3 (1996) 537-551
14. Mandal D.P., Murthy C.A., and Pal S.K. Formulation of a multivalued recognition system. IEEE Trans. Syst. Man Cybern. 22 4 (1992) 607-620
15. Keller J.M., Gray M., and Givens J. A fuzzy k-nearest neighbor algorithm. IEEE Trans. Syst. Man Cybern. 15 4 (1985) 580-585
16. Ishibuchi H., Nozaki K., and Tanaka H. Distributed representation of fuzzy rules and its application to pattern classification. Fuzzy Sets Syst. 52 1 (1992) 21-32
17. Abe S., and Lan M.S. A method for fuzzy rules extraction directly from numerical data and its application to pattern classification. IEEE Trans. Fuzzy Syst. 3 1 (1995) 18-28
18. Wang F. Fuzzy supervised classification of remote sensing images. IEEE Trans. Geosci. Remote Sensing 28 2 (1990) 194-201
19. Pedrycz W. Fuzzy sets in pattern recognition: methodology and methods. Pattern Recognition 23 1/2 (1990) 121-146
20. Tso B., and Mather P.M. Classification Methods for Remotely Sensed Data (2001), Taylor and Francis, London
21. Meher S.K., Ghosh A., and Uma Shankar B. Wavelet feature based classifier for multispectral remote sensing images. IEEE Trans. Geosci. Remote Sensing 45 6 (2007) 1881-1886
22. Ishibuchi H., and Yamamoto T. Comparison of heuristic criteria for fuzzy rule selection in classification problems. Fuzzy Optim. Decision Making 3 2 (2004) 119-139
23. Bardossy A., and Samaniego L. Fuzzy rule-based classification of remotely sensed imagery. IEEE Trans. Geosci. Remote Sensing 40 2 (2002) 362-374
24. Chen Y., and Wang J.Z. Support vector learning for fuzzy rule-based classification systems. IEEE Trans. Fuzzy Syst. 11 6 (2003) 716-728
25. Ishibuchi H., and Nakashima T. Effect of rule weights in fuzzy rule-based classification systems. IEEE Trans. Fuzzy Syst. 9 4 (2001) 506-515
26. Dubois D., Prade H., and Yager R. Merging fuzzy information. In: Bezdek J., Dubois D., and Prade H. (Eds). Fuzzy Sets in Approximate Reasoning and Information Systems (1999), Kluwer, Boston 335-401
27. Peneva V., and Popchev I. Fuzzy logic operators in decision-making. Cybern. Syst. 30 8 (1999) 725-745
28. Beliakov G., and Warren J. Appropriate choice of aggregation operators in fuzzy decision support systems. IEEE Trans. Fuzzy Syst. 9 6 (2001) 773-784
29. Bloch I. Information combination operators for data fusion: a comparative review with classification. IEEE Trans. Syst. Man Cybern. A Syst. Hum. 26 1 (1996) 52-67
30. Dubois D., and Prade H. A review of fuzzy set aggregation connectives. Info. Sci. 36 (1985) 85-121
31. Dubois D., and Prade H. On the use of aggregation operations in information fusion processes. Fuzzy Sets Syst. 142 1 (2004) 143-161
32. Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing Environ. 37 1 (1991) 35-46
33. Pal S.K., Ghosh A., and Uma Shankar B. Segmentation of remotely sensed images with fuzzy thresholding, and quatitative evaluation. Int. J. Remote Sensing 21 11 (2000) 2269-2300
34. Xie X.L., and Beni G. A validity measure for fuzzy clustering. IEEE Trans. Pattern Anal. Mach. Intell. 13 8 (1991) 841-847
35. Cohen J. A coefficient of aggrement for nominal scale. Educ. Psychol. Meas. 20 1 (1960) 37-46
36. D.J. Newman, S. Hettich, C.L. Blake, C.J. Merz, UCI repository of machine learning databases, Department of Information and Computer Sciences, University of California, Irvine, 〈http://www.ics.uci.edu/∼mlearn/MLRepository.html〉, 1998.
37. Kuncheva L.I. Combining Pattern Classifier: Methods and Algorithms (2004), Wiley-Interscience
38. Pal S.K., and Majumder D.D. Fuzzy Mathemetical Approach to Pattern Recognition (1986), Wiley Eastern Limited
39. Patel A.V. Simplest fuzzy PI controllers under various defuzzification methods. Int. J. Comput. Cognit. 3 1 (2005) 21-34
40. Card D.H. Using known map category marginal frequencies to improve estimates of thematic map accuracy. Photogramm. Eng. Remote Sensing 48 3 (1982) 431-439
41. J.A. Richards, X. Jia, Remote Sensing Digital Image Analysis: An Introduction, fourth ed., Springer, Berlin, Heidelberg, Germany, 2006.
42. Congalton R.G., and Mead R. A quantitative method to test for consistency and correctness in photointerpretation. Photogramm. Eng. Remote Sensing 49 1 (1983) 69-74
43. NRSA, IRS data users hand book, Technical Report, Document No. IRS/NRSA/NDC/HB-02/89, 1989.
44. Melgani F., Al Hashemy B.A.R., and Taha S.M.R. An explicit fuzzy supervised classification method for multispectral remote sensing images. IEEE Trans. Geosci. Remote Sensing 38 1 (2000) 287-295