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Application of fuzzy logic in engineering
problems
Gad, A.; Farooq, M.
(2001) Proceedings of 27th Annual Conference of the IEEE Industrial Electronics Society
(IECON’01), Denver, CO, 29 November-2 December 2001, pages 2044-2049.
Abstract
In today's fast paced world of increasing and innovative new technology, fuzzy logic is a
practical mathematical addition to classic Boolean logic. We can see its applications in many
fields of science and engineering. This paper gives a general overview on many such applications
to target tracking, pattern recognition, robotics, power systems, controller design, chemical
engineering, biomedical engineering, vehicular technology, economy management as well as
decision making, communications and networking, electronic engineering, civil engineering,
sensor technology, and industry.
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182.Bosc, P., Damiani, E.
Fuzzy service selection in active networks
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183.Ramirez-Barajas, J., Dieck-Assad, G., Soto, R.
A fuzzy logic based AGC algorithm for radio communication system
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Adaptive fuzzy interference cancellation for CMDA communication channel
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Policing mechanism and cell loss priority control on voice cells in ATM networks using
fuzzy logic IEE Proc. Communications, Aug. 2000,
187.Liu, K., Lee, R., Chan, A.
Building a fuzzy system for ranking telecommunication access network projects
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2000,
188.Shuhong, Z., Mianyun, C.
Fuzzy random analysis of the reliability of network
(2000) J. Huazhong University of Science and Technology,
Oct.
189.Liang, Q., Karnik, N., Mendel, J.
Connection admission control in ATM networks using survey-based type-2 fuzzy logic
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190.Jing, Z., Luo, A., Tomizuka, M.
Stochastic, fuzzy, neural system for intelligent tracking of multiple maneuvering targets
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199.Shen, Y., Homaifar, A., Chen, D.
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2000 ACC, Chicago, 2000,
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201.Stylios, C., Groumpos, P.
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IFAC/IFORS/IMAC/IFIP Symposium, 1999,
202.Gunes, M.
Fuzzy approaches to the production problems: The case of refinery industry 3rd Int. Conf.
on Information Fusion, 2000,
203.Shi-Rong, L., Jin-Shou, Y.
A fuzzy inference system based on optimal fuzzy cluster and its application in product
quality
(2000) J. Info. and Cont.,
June
204.Xinyu, S., Peigen, L.
A multi-level fuzzy synthesis model for machine tools selection
(2000) J. of Huazhong University of Science and Technology,
China, Oct.
205.Patton, R., Chen, J., Benkhedda, H.
A study on neuro-fuzzy systems for fault diagnosis
(2000) Int. J. of Sys. Sci.,
Nov.
206.Meimei, G., Zhiming, W.
Fuzzy reasoning petri net and its application to fault diagnosis
(2000) Acta Automatica Sinica,
China, Sept.
207.Bingul, Z., Cook, G., Strauss, A.
Application of fuzzy logic to spatial thermal control in fusion welding
(2000) IEEE Trans. on IA,
208.Moon, U., Lee, K.
Temperature control of glass melting furnace with fuzzy logic and conventional PI control
American Control Conference, Chicago, 2000,
209.Gorodetsky, A., Sergeyev, A.
Optical fuzzy sensors
(1999) Proc. SPIE, 3740.
210.Pisarkiewicz, T., Potempa, P.
Fuzzy logic in the improvement of semiconductor gas sensor performance
(1999) SPIE, 3730.
211.Yi, W., Rong, C.
Reflection type surface roughness fiber-optic sensor and its fuzzy algorithm
(2000) Acta Photonica Sinica, Science Press,
July
Authors’ affiliation
GA; FM: Dept. of Electrical and Comp. Eng., Royal Military College of Canada, Kingston, Ont.
K7K 7B4, Canada
Correspondence address
Gad A.; Dept. of Electrical and Comp. Eng., Royal Military College of Canada, Kingston, Ont.
K7K 7B4, Canada; email: ahmed.gad@rmc.ca

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Application Of Fuzzy Logic In Engineering Problems

  • 1. Application of fuzzy logic in engineering problems Gad, A.; Farooq, M. (2001) Proceedings of 27th Annual Conference of the IEEE Industrial Electronics Society (IECON’01), Denver, CO, 29 November-2 December 2001, pages 2044-2049. Abstract In today's fast paced world of increasing and innovative new technology, fuzzy logic is a practical mathematical addition to classic Boolean logic. We can see its applications in many fields of science and engineering. This paper gives a general overview on many such applications to target tracking, pattern recognition, robotics, power systems, controller design, chemical engineering, biomedical engineering, vehicular technology, economy management as well as decision making, communications and networking, electronic engineering, civil engineering, sensor technology, and industry. References 1. Zadeh, L. Fuzzy sets (1965) Information and Control, 8, pp. 338-353. 2. Zadeh, L. Fuzzy sets as a basis for a theory of possibility (1978) Fuzzy Sets and Systems, 3. Zadeh, L. Fuzzy sets and information granularity (1979) Advances in Fuzzy Set Theory and Applications, North-Holland 4. Passino, K., Yurkovich, S. Fuzzy Control (1998), Addison-Wesley 5. Civanlar, M., Trussell, H. Constructing membership functions using statistical data (1986) Fuzzy Sets and Systems, International Journal, 18 (1), pp. 1-13. January
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  • 4. Fuzzy logic data correlation approach in multisensor-multitarget tracking systems (1999) Signal Processing, 76, pp. 195-209. 27. Jang, L., Chao, J. An information fusion algorithm for data association in multitarget tracking Proc. of the First Australian Data Fusion Symposium, ADFS-96, 1996, 28. Wang, W.-J., Lin, H.-R. Fuzzy control design for the trajectory tracking on uncertain nonlinear systems (1999) IEEE Trans. on FS, 29. Meitzler, T., Singh, H. Predicting probability of target detection in static infrared and visual scenes using the fuzzy logic approach (1998) Opt. Eng., pp. 23-40. 30. Gad, A., Farooq, M., Midwood, S. Applications of fuzzy logic to target tracking in a cluttered environment SPIE Aerosense, April 2001, 31. Luo, R., Chen, T., Su, K. Target tracking using hierarchical grey-fuzzy motion decision-making method (2001) IEEE Trans. on SMC, pp. 179-186. May 32. Ng, G. Application of fuzzy logic in multi-passive acoustic tracking (1999) SPIE, 3692. 33. Yuan, L., Wei-Xin, X., Lu-Ping, X. Multisensor fuzzy-probability interacting data association algorithm (1999) Acta Electronica Sinica, China 34. Looney, C., Varol, Y. Fuzzy clustering for association and fusion in multitarget tracking with multisensors (1999) Fusion'99, 1, pp. 255-261. July 35. Chen, T., Luo, R. Mobile target tracking using hierarchical grey-fuzzy motion decision-making method IEEE
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  • 24. (1999) SPIE, 3730. 211.Yi, W., Rong, C. Reflection type surface roughness fiber-optic sensor and its fuzzy algorithm (2000) Acta Photonica Sinica, Science Press, July Authors’ affiliation GA; FM: Dept. of Electrical and Comp. Eng., Royal Military College of Canada, Kingston, Ont. K7K 7B4, Canada Correspondence address Gad A.; Dept. of Electrical and Comp. Eng., Royal Military College of Canada, Kingston, Ont. K7K 7B4, Canada; email: ahmed.gad@rmc.ca