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1

1932-, Dutta Majumder D., ed. Fuzzy mathematical approach to pattern recognition. New York: Wiley, 1986.

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2

Scherer, Rafał. Multiple Fuzzy Classification Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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3

Kuncheva, Ludmila I. Fuzzy Classifier Design. Heidelberg: Physica-Verlag HD, 2000.

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4

Palm, Rainer. Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997.

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5

Bezdek, James C. Fuzzy logic and neural networks for pattern recognition. Piscataway, NJ: Institute of Electrical and Electronics Engineers, 1992.

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6

Pattern classification: Neuro-fuzzy methods and their comparison. London: Springer, 2001.

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7

Zeng, Jia, and Zhi-Qiang Liu. Type-2 Fuzzy Graphical Models for Pattern Recognition. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44690-4.

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8

Rotshtein, Alexander P. Fuzzy Evidence in Identification, Forecasting and Diagnosis. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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9

Driankov, Dimiter. Advances in Fuzzy Control. Heidelberg: Physica-Verlag HD, 1998.

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10

Dynamic fuzzy pattern recognition with applications to finance and engineering. Boston: Kluwer Academic, 2001.

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11

Maji, Pradipta. Rough-fuzzy pattern recognition: Applications in bioinformatics and medical imaging. Hoboken, NJ: Wiley, 2011.

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12

Angstenberger, Larisa. Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering. Dordrecht: Springer Netherlands, 2001.

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13

1959-, Yan Hong, and Phạm Tuân, eds. Fuzzy algorithms: With applications to image processing and pattern recognition. Singapore: World Scientific, 1996.

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14

Bezdek, James C., James Keller, Raghu Krisnapuram, and Nikhil R. Pal. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/b106267.

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15

Angstenberger, Larisa. Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-1312-2.

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16

Schneider, Moti. Cooperative fuzzy expert systems: Their design and applications in intelligent recognition. Köln: TÜV Rheinland, 1988.

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17

Luukka, Pasi. Similarity measure based classification. Lappeenranta: Lappeenranta University of Technology, 2005.

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18

service), SpringerLink (Online, ed. Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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19

Melin, Patricia. Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24139-0.

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20

1959-, Castillo Oscar, ed. Hybrid intelligent systems for pattern recognition using soft computing: An evolutionary approach for neural networks and fuzzy systems. Berlin: Springer, 2005.

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21

David, Hutchison. Fuzzy Logic and Applications: 8th International Workshop, WILF 2009 Palermo, Italy, June 9-12, 2009 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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22

Fanelli, Anna Maria. Fuzzy Logic and Applications: 9th International Workshop, WILF 2011, Trani, Italy, August 29-31,2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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23

G, Okuno Hiroshi, and Ali Moonis, eds. New trends in applied artificial intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, IEA/AIE 2007, Kyoto, Japan, June 26-29, 2007 : proceedings. Berlin: Springer, 2007.

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24

Kacprzyk, Janusz, and Oscar Castillo. Evolutionary design of intelligent systems in modeling, simulation and control. Berlin: Springer, 2009.

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25

Kuznetsov, Sergei O. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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26

Peters, James F., Wojciech Ziarko, Xiaohua Hu, JingTao Yao, and Dominik Lezak. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part II. Berlin: Springer-Verlag Berlin Heidelberg, 2005.

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27

Duentsch, Ivo. Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing (vol. # 3641): 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 3, 2005, Proceedings, Part I. Berlin Heidelberg: Springer-Verlag., 2005.

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28

Marzena, Kryszkiewicz, ed. Rough sets and intelligent systems paradigms: International conference, RSEISP 2007, Warsaw, Poland, June 28-30, 2007 : proceedings. Berlin: Springer, 2007.

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29

Horst, Bunke, and Kandel Abraham, eds. Neuro-fuzzy pattern recognition. Singapore: World Scientific, 2000.

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30

Bunke, H., and A. Kandel. Neuro-Fuzzy Pattern Recognition. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/4520.

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31

Fuzzy Mathematical Approach To Pattern Recognition. John Wiley & Sons (Asia) Pte Ltd, 1986.

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32

Scherer, Rafał. Multiple Fuzzy Classification Systems. Springer, 2012.

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33

Fuzzy automata and pattern matching: Final report. Atlanta, Ga: Mathematical and Computer Sciences, Atlanta University, 1986.

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34

Pattern Classification: Neuro-fuzzy Methods and Their Comparison. Springer, 2011.

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35

Pal, Sankar K., and Sushmita Mitra. Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing. John Wiley & Sons, 1999.

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36

Abe, Shigeo. Pattern Classification: Neuro-fuzzy Methods and Their Comparison. Springer, 2012.

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37

Zhu, A.-Xing. Soil pattern inference using GIS under fuzzy logic. 1994.

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38

Rakytyanska, Hanna B., and Alexander P. Rotshtein. Fuzzy Evidence in Identification, Forecasting and Diagnosis. Springer, 2014.

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39

Multiple Fuzzy Classification Systems. Springer, 2012.

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40

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets). Springer, 2005.

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41

Bezdek, James C., James Keller, Raghu Krisnapuram, and Nikhil R. Pal. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets). Springer, 1999.

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42

Pal, Sankar K., and Pradipta Maji. Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging. IEEE Computer Society Press, 2012.

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43

1939-, Bezdek James C., ed. Fuzzy models and algorithms for pattern recognition and image processing. Boston: Kluwer Academic Publishers, 1999.

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44

Pal, Sankar K., and Pradipta Maji. Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging. IEEE Computer Society Press, 2011.

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45

Chi, Zheru, Hong Yan, and Tuan Pham. Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/3132.

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46

1939-, Bezdek James C., ed. Fuzzy models and algorithms for pattern recognition and image processing. Boston: Kluwer Academic Publ., 1999.

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47

Pal, Sankar K., and Pradipta Maji. Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging. IEEE Computer Society Press, 2011.

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48

Angstenberger, Larisa. Dynamic Fuzzy Pattern Recognition with Application to Finance and Engineering. Springer, 2001.

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49

Rezaee, M. Ramze. Application of fuzzy techniques in image segmentation. University of Leiden], 1998.

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50

Fuzzy Evidence In Identification Forecasting And Diagnosis. Springer, 2012.

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