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Abstract
In this paper we discuss some aspects of decision fusion using fuzzy logic of type 1 for two aviation scenarios. We study the fuzzy inference system/engine and briefly discuss the MATLAB-GUI based tool developed by the authors to evaluate any existing or new fuzzy implication functions. Two examples: i) formation flight, and ii) flying along an air lane are numerically evaluated and the performance of decision fusion systems incorporating fuzzy logic is illustrated. The results indicate that some existing as well as new implication functions, devised by the authors, work very well for the examples considered. This opens up new possibilities of applications of fuzzy logic based decision fusion to varieties of aerospace/aviation problems in data fusion, decision making, and decision fusion.
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References
- King, R.F., "Computational Intelligence in Control Engineering". New York, Marcel Dekker, 1999.
- Abidi, M. A. and Gonzalez, R. C. (Eds.)., "Data Fusion in Robotics and Machine Intelligence", Academic Press, USA, 1992.
- Hall, D. L., "Mathematical Techniques in Multi-Sensor Data Fusion", Artech House, Norwood, Massachusetts, 1992.
- Passino, K.M. and Yurkovich, S., "Fuzzy Control", Menlo Park, CA, Addison-Wesley Longman, 1998.
- Kashyap, S. K, Raol, J. R. and Patel, A. V., "Evaluation of Fuzzy Implications and Intuitive Criteria of GMP and GMT. In Foundations of Generic Optimization Vol. 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks", (the series Mathematical Modelling: Theory and Applications), Lowen, R. and Verschoren (Eds.), Springer, 2008.
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- Raol, J.R., "Multi-sensor Data Fusion with MATLAB", CRC Press, Florida, USA, 2010.
- Johan, I., "Situation Assessment in a Stochastic Environment Using Bayesian Networks", Masters Thesis, Division of Automatic Control, Department of Electrical Engineering, Linkoping University, 2002.
- Li-Xin, W., "Adaptive Fuzzy Systems and Control, Design and Stability Analysis" Englewood Cliffs, NJ, Prentice Hall, 1994.
- Lau, C. W., Ma B., Meng, H. M., Moon, Y.S. and Yam, Y., "Fuzzy Logic Decision Fusion in a Multi-modal Biometric System", www.se.cuhk.edu.hk/hccl/ publications/pub/lau_icslp 2004.pdf, 2004 (accessed Dec 2008).
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References
King, R.F., "Computational Intelligence in Control Engineering". New York, Marcel Dekker, 1999.
Abidi, M. A. and Gonzalez, R. C. (Eds.)., "Data Fusion in Robotics and Machine Intelligence", Academic Press, USA, 1992.
Hall, D. L., "Mathematical Techniques in Multi-Sensor Data Fusion", Artech House, Norwood, Massachusetts, 1992.
Passino, K.M. and Yurkovich, S., "Fuzzy Control", Menlo Park, CA, Addison-Wesley Longman, 1998.
Kashyap, S. K, Raol, J. R. and Patel, A. V., "Evaluation of Fuzzy Implications and Intuitive Criteria of GMP and GMT. In Foundations of Generic Optimization Vol. 2: Applications of Fuzzy Control, Genetic Algorithms and Neural Networks", (the series Mathematical Modelling: Theory and Applications), Lowen, R. and Verschoren (Eds.), Springer, 2008.
Kashyap, S.K., "Decision Fusion Using Fuzzy Logic", Doctoral Thesis, University of Mysore, Mysore, India, 2008.
Raol, J.R., "Multi-sensor Data Fusion with MATLAB", CRC Press, Florida, USA, 2010.
Johan, I., "Situation Assessment in a Stochastic Environment Using Bayesian Networks", Masters Thesis, Division of Automatic Control, Department of Electrical Engineering, Linkoping University, 2002.
Li-Xin, W., "Adaptive Fuzzy Systems and Control, Design and Stability Analysis" Englewood Cliffs, NJ, Prentice Hall, 1994.
Lau, C. W., Ma B., Meng, H. M., Moon, Y.S. and Yam, Y., "Fuzzy Logic Decision Fusion in a Multi-modal Biometric System", www.se.cuhk.edu.hk/hccl/ publications/pub/lau_icslp 2004.pdf, 2004 (accessed Dec 2008).
Fauvel, M., Chanussot, J. and Benediktsson, J. A., "Decision Fusion for the Classification of Urban Remote Sensing Images", http://hal.archives-ouvertes.fr/docs/ 00/09/62/87/PDF/fussyset_v4.pdf, (accessed October, 2012).