1 |
L. A. Zadeh, A Theory of Approximate Reasoning (AR). Berkeley, CA: Electronics Research Laboratory, College of Engineering, University of California, 1977.
|
2 |
O. Cordon, "A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: designing interpretable genetic fuzzy systems," International Journal of Approximate Reasoning, vol. 52, no. 6, pp. 894-913, 2011. http://dx.doi.org/10.1016/j.ijar.2011.03.004
DOI
|
3 |
L. A. Zadeh, "Outline of a new approach to the analysis of complex systems and decision processes," IEEE Transactions on Systems, Man and Cybernetics, vol. 3, no. 1, pp. 28-44, 1973. http://dx.doi.org/10.1109/tsmc.1973.5408575
|
4 |
E. H. Mamdani, "Application of fuzzy algorithms for control of simple dynamic plant," Proceedings of the Institution of Electrical Engineers, vol. 121, no. 12, pp. 1585-1588, 1974. http://dx.doi.org/10.1049/piee.1974.0328
|
5 |
R. Jager, H. Verbruggen, and P. M. Bruijin, "Fuzzy inference in rule-based control systems," in Proceedings of 1st International Conference on Intelligent Systems Engineering, Edinburgh, Scotland, 1992, pp. 232-237.
|
6 |
C. C. Lee, "Fuzzy logic in control systems: fuzzy logic controller. II," IEEE Transactions on Systems, Man and Cybernetics, vol. 20, no. 2, pp. 419-435, 1990. http://dx.doi.org/10.1109/21.52552
DOI
|
7 |
J. Casillas, Interpretability Issues in Fuzzy Modeling. Berlin: Springer-Verlag, 2003.
|
8 |
C. Y. Chiu, H. C. Lin, and S. N. Yang, "A fuzzy logic CBIR system," in Proceedings of the 12th IEEE International Conference on Fuzzy Systems, St. Louis, MO, 2003, pp. 1171-1176. http://dx.doi.org/10.1109/fuzz.2003.1206597
|
9 |
A. A. Othman, H. R. Tizhoosh, and F. Khalvati, "EFIS: evolving fuzzy image segmentation," IEEE Transactions on Fuzzy Systems, vol. 22, no. 1, pp. 72-82, 2014. http://dx.doi.org/10.1109/tfuzz.2013.2246761
DOI
|
10 |
D. Y. Kim and H. M. Chung, "Image recognition by learning multi-valued logic neural network," International Journal of Fuzzy Logic and Intelligent Systems, vol. 2, no. 3, pp. 215-220, 2002. http://dx.doi.org/10.5391/ijfis.2002.2.3.215
DOI
|
11 |
H. K. Kwan and L. Y. Cai, "Supervised fuzzy inference network for invariant pattern recognition," in Proceedings of the 43rd IEEE Midwest Symposium on Circuits and Systems, Lansing, MI, 2000, pp. 850-854. http://dx.doi.org/10.1109/mwscas.2000.952888
DOI
|
12 |
J. S. Kim, "Prediction of user's preference by using fuzzy rule & RDB inference: a cosmetic brand selection," International Journal of Fuzzy Logic and Intelligent Systems, vol. 5, no. 4, pp. 353-359, 2005. http://dx.doi.org/10.5391/ijfis.2005.5.4.353
DOI
|
13 |
A. Khalifa and H. Frigui, "Fusion of multiple algorithms for detecting buried objects using fuzzy inference," Proceedings of SPIE, vol. 9072, 2014. http://dx.doi.org/10.1117/12.2051217
DOI
|
14 |
"Flickr," 2014; Available http://www.flickr.com/
|
15 |
M. Y. Chen and D. Linkens, "Rule-base self-generation and simplification for data-driven fuzzy models," in Proceedings of the 10th IEEE International Conference on Fuzzy Systems, Melbourne, Australia, 2001, pp. 424-427. http://dx.doi.org/10.1109/fuzz.2001.1007339
DOI
|
16 |
D. Z. Saletic, "On data-driven procedure for determining the number of rules in a Takagi-36 fuzzy model," in Proceedings of the International Conference on Computer as a Tool (EUROCON2005), Belgrade, Serbia 2005, pp. 1132-1135. http://dx.doi.org/10.1109/eurcon.2005.1630151
DOI
|
17 |
P. Zikopoulos, D. DeRoos, K. Parasuraman, T. Deutsch, J. Giles, and D. Corrigan, Harness the Power of Big Data: The IBM Big Data Platform. New York, NY: McGraw-Hill, 2012.
|
18 |
"Craigslist," 2014; Available http://www.craigslist.org
|
19 |
A. Sorokin and D. Forsyth, "Utility data annotation with Amazon Mechanical Turk," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Anchorage, AK, 2008, pp. 1-8. http://dx.doi.org/10.1109/cvprw.2008.4562953
DOI
|
20 |
A. Torralba, B. C. Russell, and J. Yuen, "Labelme: online image annotation and applications," Proceedings of the IEEE, vol. 98, no. 8, pp. 1467-1484, 2010. http://dx.doi.org/10.1109/jproc.2010.2050290
DOI
|
21 |
I. J. Goodfellow, Y. Bulatov, J. Ibarz, S. Arnoud, and V. Shet, "Multi-digit number recognition from street view imagery using deep convolutional neural networks," in Proceedings of 2nd International Conference on Learning Representations (ICLR2014), Banff, Canada, 2014, pp. 1-13.
|
22 |
O. Maron, "Learning from ambiguity," Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MA, 1998.
|
23 |
A. Karem and H. Frigui, "A multiple instance learning approach for landmine detection using ground penetrating radar," in Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, 2011, pp. 878-881. http://dx.doi.org/10.1109/igarss.2011.6049271
DOI
|
24 |
T. G. Dietterich, R. H. Lathrop, and T. Lozano-Perez, "Solving the multiple instance problem with axis-parallel rectangles," Artificial Intelligence, vol. 89, no. 1-2, pp. 31-71, 1997. http://dx.doi.org/10.1016/s0004-3702(96)00034-3
DOI
|
25 |
C. Zhang, X. Chen, and W. B. Chen, "An online multiple instance learning system for semantic image retrieval," in Proceedings of 9th IEEE International Symposium on Multimedia Workshops (ISMW'07), Taichung, Taiwan, 2007, pp. 83-84. http://dx.doi.org/10.1109/ism.workshops.2007.23
DOI
|
26 |
O. Maron and T. Lozano-Perez, "A framework for multiple-instance learning," in Proceedings of the 1997 Conference on Advances in Neural Information Processing Systems (NIPS'97), Cambridge, MA, 1998, pp. 570-576.
|
27 |
R. Rahmani and S. A. Goldman, "MISSL: Multipleinstance semi-supervised learning," in Proceedings of the 23rd International Conference on Machine Learning (ICML'06), Pittsburgh, PA, 2006, pp. 705-712. http://dx.doi.org/10.1145/1143844.1143933
DOI
|
28 |
S. Ray and M. Craven, "Supervised versus multiple instance learning: an empirical comparison," in Proceedings of the 22nd International Conference on Machine Learning (ICML'05), Bonn, Germany, 2005, pp. 697-704. http://dx.doi.org/10.1145/1102351.1102439
DOI
|
29 |
Y. Chen, J. Bi, and J. Z.Wang, "MILES: multiple-instance learning via embedded instance selection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 1931-1947, 2006. http://dx.doi.org/10.1109/tpami.2006.248
DOI
|
30 |
C. Yang, M. Dong, and F. Fotouhi, "Region based image annotation through multiple-instance learning," in Proceedings of the 13th Annual ACM International Conference on Multimedia, Singapore, 2005, pp. 435-438. http://dx.doi.org/10.1145/1101149.1101245
|
31 |
B. Babenko, M. H. Yang, and S. Belongie, "Robust object tracking with online multiple instance learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, no. 8, pp. 1619-1632, 2011. http: //dx.doi.org/10.1109/tpami.2010.226
DOI
|
32 |
P. L. Lanzi, W. Stolzmann, and S. W. Wilson, Learning Classifier Systems: From Foundations to Applications (LNCS vol.1813). Berlin: Springer, 2000.
|
33 |
L. A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, no. 3, pp. 338-353, 1965. http://dx.doi.org/10.1016/S0019-9958(65)90241-X
DOI
|
34 |
E. H. Mamdani and S. Assilian, "An experiment in linguistic synthesis with a fuzzy logic controller," International Journal of Human-Computer Studies, vol. 51, no. 2, pp. 135-147, 1999. http://dx.doi.org/10.1006/ijhc.1973.0303
DOI
|
35 |
E. H. Mamdani, "Application of fuzzy logic to approximate reasoning using linguistic synthesis," IEEE Transactions on Computers, vol. 26, no. 12, pp. 1182-1191, 1977. http://dx.doi.org/10.1109/tc.1977.1674779
|
36 |
T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control," IEEE Transactions on Systems, Man and Cybernetics, vol. 15, no. 1, pp. 116-132, 1985. http://dx.doi.org/10.1109/tsmc.1985.6313399
DOI
|
37 |
R. R. Yager, "On the theory of bags," International Journal of General Systems, vol. 13, no. 1, pp. 23-37, 1986. http://dx.doi.org/10.1080/03081078608934952
DOI
|
38 |
K. T. Atanassov, "Intuitionistic fuzzy sets," Fuzzy Sets and Systems, vol. 20, no. 1, pp. 87-96, 1986. http://dx.doi.org/10.1016/s0165-0114(86)80034-3
DOI
|
39 |
D. Ramot, R. Milo, M. Friedman, and A. Kandel, "Complex fuzzy sets," IEEE Transactions on Fuzzy Systems, vol. 10, no. 2, pp. 171-186, 2002. http://dx.doi.org/10.1109/91.995119
DOI
|
40 |
V. Torra, "Hesitant fuzzy sets," International Journal of Intelligent Systems, vol. 25, no. 6, pp. 529-539, 2010. http://dx.doi.org/10.1002/int.20418
DOI
|
41 |
G. Cheng and J. Yang, "Complex fuzzy reasoning schemes," in Proceedings of 2010 3rd International Conference on Information and Computing (ICIC), Wuxi, China, 2010, pp. 29-32. http://dx.doi.org/10.1109/icic.2010.190
DOI
|
42 |
V. G. Kaburlasos and A. Kehagias, "Fuzzy inference system (FIS) extensions based on the lattice theory," IEEE Transactions on Fuzzy Systems, vol. 2, no. 3, pp. 531-546, 2013. http://dx.doi.org/10.1109/TFUZZ.2013.2263807
DOI
|
43 |
A. Mahnot and M. Popescu, "Fumil-fuzzy multiple instance learning for early illness recognition in older adults," in Proceedings of 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Brisbane, Australia, 2012, pp. 1-5. http://dx.doi.org/10.1109/fuzz-ieee.2012.6251358
DOI
|
44 |
J. Casasnovas and G. Mayor, "Discrete t-norms and operations on extended multisets," Fuzzy Sets and Systems, vol. 159, no. 10, pp. 1165-1177, 2008. http://dx.doi.org/10.1016/j.fss.2007.12.005
DOI
|
45 |
D. E. Tamir and A. Kandel, "Axiomatic theory of complex fuzzy logic and complex fuzzy classes," International Journal of Computers, Communications & Control, vol. 6, no. 3, pp. 562-576, 2011. http://dx.doi.org/10.15837/ijccc.2011.3.2135
DOI
|
46 |
J. S. R. Jang, C. T. Sun, and E. Mizutani, Neuro-fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Upper Saddle River, NJ: Prentice Hall, 1997.
|
47 |
A. Karem and H. Frigui, "Fuzzy clustering algorithm of multiple instance data," in Proceedings of 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Istanbul, Turkey, 2015, pp. 1-7. http://dx.doi.org/10.1109/FUZZ-IEEE.2015.7338084
DOI
|
48 |
D. Dubois and H. M. Prade, Fuzzy Sets and Systems: Theory and Applications. New York, NY: Academic Press, 1980.
|
49 |
M. Xia and Z. Xu, "Hesitant fuzzy information aggregation in decision making," International Journal of Approximate Reasoning, vol. 52, no. 3, pp. 395-407, 2011. http://dx.doi.org/10.1016/j.ijar.2010.09.002
DOI
|
50 |
L. A. Zadeh, "Is there a need for fuzzy logic?," Information Sciences, vol. 178, no. 13, pp. 2751-2779, 2008. http://dx.doi.org/10.1016/j.ins.2008.02.012
DOI
|
51 |
J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms. New York, NY: Plenum Press, 1981.
|
52 |
H. Frigui and P. Gader, "Detection and discrimination of land mines in ground-penetrating radar based on edge histogram descriptors and a possibilistic k-nearest neighbor classifier," IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 185-199, 2009. http://dx.doi.org/10.1109/tfuzz.2008.2005249
DOI
|