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Volumn 16, Issue 3, 2008, Pages 553-566

Logic minimization as an efficient means of fuzzy structure discovery

Author keywords

Boolean minimization; Fuzzy models; Fuzzy neural networks; Logic minimizers (espresso, BOOM II); Rule based systems

Indexed keywords

ADAPTIVE SYSTEMS; AEROSPACE APPLICATIONS; ARCHITECTURAL DESIGN; BOOLEAN ALGEBRA; BOOLEAN FUNCTIONS; OPTIMIZATION; PROCESS DESIGN; PROCESS ENGINEERING; STRUCTURAL DESIGN; THREE TERM CONTROL SYSTEMS;

EID: 45549109687     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2006.890661     Document Type: Article
Times cited : (15)

References (44)
  • 1
    • 0742290026 scopus 로고    scopus 로고
    • Identification of complex systems based on neural and Takagi-Sugeno fuzzy model
    • D. Kukolj and E. Levi, "Identification of complex systems based on neural and Takagi-Sugeno fuzzy model," IEEE Trans. Syst., Man, Cybern. B, vol. 34, pp. 272-282, 2004.
    • (2004) IEEE Trans. Syst., Man, Cybern. B , vol.34 , pp. 272-282
    • Kukolj, D.1    Levi, E.2
  • 2
    • 11244261191 scopus 로고    scopus 로고
    • Genetically optimized logic models
    • W. Pedrycz and M. Reformat, "Genetically optimized logic models," Fuzzy Sets Syst., vol. 150, pp. 351-371, 2005.
    • (2005) Fuzzy Sets Syst , vol.150 , pp. 351-371
    • Pedrycz, W.1    Reformat, M.2
  • 3
  • 4
    • 0000635694 scopus 로고    scopus 로고
    • Identifying fuzzy models utilizing genetic programming
    • A. Bastian, "Identifying fuzzy models utilizing genetic programming," Fuzzy Sets Syst., vol. 113, no. 3, pp. 333-350, 2000.
    • (2000) Fuzzy Sets Syst , vol.113 , Issue.3 , pp. 333-350
    • Bastian, A.1
  • 5
    • 0034266756 scopus 로고    scopus 로고
    • Genetic fuzzy learning
    • M. Russo, "Genetic fuzzy learning," IEEE Trans. Fuzzy Syst., vol. 4, pp. 259-273, 2000.
    • (2000) IEEE Trans. Fuzzy Syst , vol.4 , pp. 259-273
    • Russo, M.1
  • 6
    • 0032142042 scopus 로고    scopus 로고
    • FuGeNeSys - A fuzzy genetic neural system for fuzzy modeling
    • M. Russo, "FuGeNeSys - A fuzzy genetic neural system for fuzzy modeling," IEEE Trans. Fuzzy Syst., vol. 6, pp. 373-388, 1998.
    • (1998) IEEE Trans. Fuzzy Syst , vol.6 , pp. 373-388
    • Russo, M.1
  • 7
    • 0032287655 scopus 로고    scopus 로고
    • A neuro-fuzzy controller for mobile robot navigation and multirobot convoying
    • K. C. Ng and M. M. Trivedi, "A neuro-fuzzy controller for mobile robot navigation and multirobot convoying," IEEE Trans. Syst., Man, Cybern. B, vol. 28, pp. 829-840, 1998.
    • (1998) IEEE Trans. Syst., Man, Cybern. B , vol.28 , pp. 829-840
    • Ng, K.C.1    Trivedi, M.M.2
  • 8
    • 0031146974 scopus 로고    scopus 로고
    • A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling
    • M. Delgado, A. F. Gomez-Skarmeta, and F. Martin, "A fuzzy clustering-based rapid prototyping for fuzzy rule-based modeling," IEEE Trans. Fuzzy Syst., vol. 5, pp. 223-233, 1997.
    • (1997) IEEE Trans. Fuzzy Syst , vol.5 , pp. 223-233
    • Delgado, M.1    Gomez-Skarmeta, A.F.2    Martin, F.3
  • 9
    • 0031272838 scopus 로고    scopus 로고
    • Forecasting time series with genetic fuzzy predictor ensemble
    • D. Kim and C. Kim, "Forecasting time series with genetic fuzzy predictor ensemble," IEEE Trans. Fuzzy Syst., vol. 5, pp. 523-535, 1997.
    • (1997) IEEE Trans. Fuzzy Syst , vol.5 , pp. 523-535
    • Kim, D.1    Kim, C.2
  • 10
    • 0027539712 scopus 로고
    • Fuzzy control of ph using genetic algorithms
    • C. L. Karr and E. J. Gentry, "Fuzzy control of ph using genetic algorithms," IEEE Trans. Fuzzy Syst., vol. 1, pp. 46-53, 1993.
    • (1993) IEEE Trans. Fuzzy Syst , vol.1 , pp. 46-53
    • Karr, C.L.1    Gentry, E.J.2
  • 11
    • 33845331515 scopus 로고
    • Minimization of Boolean functions
    • Apr
    • E. J. McCluskey, "Minimization of Boolean functions," Bell Syst. Tech. J., vol. 35, pp. 1417-1444, Apr. 1956.
    • (1956) Bell Syst. Tech. J , vol.35 , pp. 1417-1444
    • McCluskey, E.J.1
  • 14
    • 0032205499 scopus 로고    scopus 로고
    • Fast heuristic and exact algorithms for two-level hazard-free logic minimization
    • Nov
    • M. Theobald and S. M. Norwick, "Fast heuristic and exact algorithms for two-level hazard-free logic minimization," IEEE Trans. Computer-Aided Design, vol. 17, pp. 1130-1147, Nov. 1998.
    • (1998) IEEE Trans. Computer-Aided Design , vol.17 , pp. 1130-1147
    • Theobald, M.1    Norwick, S.M.2
  • 24
    • 0034187785 scopus 로고    scopus 로고
    • Neuro-fuzzy rule generation: Survey in the soft computing framework
    • S. Mitra and Y. Hayashi, "Neuro-fuzzy rule generation: Survey in the soft computing framework," IEEE Trans. Neural Netw., vol. 11, pp. 748-768, 2000.
    • (2000) IEEE Trans. Neural Netw , vol.11 , pp. 748-768
    • Mitra, S.1    Hayashi, Y.2
  • 25
    • 9244227617 scopus 로고    scopus 로고
    • Heterogeneous fuzzy logic networks: Fundamentals and development studies
    • Nov
    • W. Pedrycz, "Heterogeneous fuzzy logic networks: Fundamentals and development studies," IEEE Trans. Neural Netw., vol. 15, pp. 1466-1481, Nov. 2004.
    • (2004) IEEE Trans. Neural Netw , vol.15 , pp. 1466-1481
    • Pedrycz, W.1
  • 27
    • 0027186778 scopus 로고
    • Fuzzy system design through fuzzy clustering and optimal predefuzzification
    • S. K. Sin and R. J. P. deFigueiredo, "Fuzzy system design through fuzzy clustering and optimal predefuzzification," in Proc. IEEE Int. Conf. Fuzzy Syst., 1993, pp. 190-195.
    • (1993) Proc. IEEE Int. Conf. Fuzzy Syst , pp. 190-195
    • Sin, S.K.1    deFigueiredo, R.J.P.2
  • 28
    • 0004683439 scopus 로고
    • Construction of fuzzy models through clustering techniques
    • Y. Yoshinari, W. Pedrycz, and K. Hirota, "Construction of fuzzy models through clustering techniques," Fuzzy Sets Syst., vol. 54, pp. 161-180, 1993.
    • (1993) Fuzzy Sets Syst , vol.54 , pp. 161-180
    • Yoshinari, Y.1    Pedrycz, W.2    Hirota, K.3
  • 29
    • 0005433651 scopus 로고
    • A new identification method for linguistic fuzzy models
    • R. Babǔska and H. B. Verbruggen, "A new identification method for linguistic fuzzy models," in Proc. FUZZ-IEEE/IFES'95, 1995, pp. 897-904.
    • (1995) Proc. FUZZ-IEEE/IFES'95 , pp. 897-904
    • Babǔska, R.1    Verbruggen, H.B.2
  • 30
    • 0035467258 scopus 로고    scopus 로고
    • Identification of fuzzy models with the aid of evolutionary data granulation
    • B. J. Park, W. Pedrycz, and S. K. Oh, "Identification of fuzzy models with the aid of evolutionary data granulation," IEEE Proc. Contr. Theory Appl., vol. 148, pp. 406-418, 2001.
    • (2001) IEEE Proc. Contr. Theory Appl , vol.148 , pp. 406-418
    • Park, B.J.1    Pedrycz, W.2    Oh, S.K.3
  • 31
    • 6344287335 scopus 로고    scopus 로고
    • A fuzzy clustering based approach for generating interpretable fuzzy models
    • Z.-Y. Xing, W.-L. Hu, and L.-M. Jia, "A fuzzy clustering based approach for generating interpretable fuzzy models," in Proc. 3rd Int. Conf. Machine Learn. Cybern., 2004, pp. 2093-2097.
    • (2004) Proc. 3rd Int. Conf. Machine Learn. Cybern , pp. 2093-2097
    • Xing, Z.-Y.1    Hu, W.-L.2    Jia, L.-M.3
  • 32
    • 0035415950 scopus 로고    scopus 로고
    • Compact and transparent fuzzy models and classifiers through iterative complexity reduction
    • H. Roubos and M. Setnes, "Compact and transparent fuzzy models and classifiers through iterative complexity reduction," IEEE Trans. Fuzzy Syst., vol. 9, pp. 516-524, 2001.
    • (2001) IEEE Trans. Fuzzy Syst , vol.9 , pp. 516-524
    • Roubos, H.1    Setnes, M.2
  • 33
    • 11344271584 scopus 로고    scopus 로고
    • Application of fuzzy naive Bayes and a real-valued genetic algorithm in identification of fuzzy model
    • Y. Tang and Y. Xu, "Application of fuzzy naive Bayes and a real-valued genetic algorithm in identification of fuzzy model," Inform. Sci. vol. 169, pp. 205-226, 2005.
    • (2005) Inform. Sci , vol.169 , pp. 205-226
    • Tang, Y.1    Xu, Y.2
  • 34
    • 2942731447 scopus 로고    scopus 로고
    • Logic-driven fuzzy modeling with fuzzy multiplexers
    • W. Pedrycz, "Logic-driven fuzzy modeling with fuzzy multiplexers," Eng. Applicat. Artif. Intell., vol. 17, pp. 383-391, 2004.
    • (2004) Eng. Applicat. Artif. Intell , vol.17 , pp. 383-391
    • Pedrycz, W.1
  • 38
    • 45549104105 scopus 로고    scopus 로고
    • C. J. Merz and P. M. Murphy, UCI Repository of Machine Learning Databases [Online]. Available: http://www.ics.uci.edu/~mlearn/ ML-Repository.html Dept. of Inform. Comput. Sci., Univ. of California, Irvine
    • C. J. Merz and P. M. Murphy, UCI Repository of Machine Learning Databases [Online]. Available: http://www.ics.uci.edu/~mlearn/ ML-Repository.html Dept. of Inform. Comput. Sci., Univ. of California, Irvine
  • 40
    • 0030082428 scopus 로고    scopus 로고
    • Approximation accuracy analysis of fuzzy systems as function approximators
    • Feb
    • X.-J. Zeng and M. G. Singh, "Approximation accuracy analysis of fuzzy systems as function approximators," IEEE Trans. Fuzzy Syst., vol. 4, pp. 44-63, Feb. 1996.
    • (1996) IEEE Trans. Fuzzy Syst , vol.4 , pp. 44-63
    • Zeng, X.-J.1    Singh, M.G.2
  • 41
    • 84941527251 scopus 로고
    • Approximation theory of fuzzy systems-MIMO case
    • May
    • X.-J. Zeng and M. G. Singh, "Approximation theory of fuzzy systems-MIMO case," IEEE Trans. Fuzzy Syst., vol. 3, pp. 219-235, May 1995.
    • (1995) IEEE Trans. Fuzzy Syst , vol.3 , pp. 219-235
    • Zeng, X.-J.1    Singh, M.G.2
  • 42
    • 45549110314 scopus 로고    scopus 로고
    • Delve: Data for evaluating learning in valid experiments [Online]. Available: http://www.cs.toronto.edu/~delve/ Dept. of Comput. Sci., Univ. of Toronto
    • Delve: Data for evaluating learning in valid experiments [Online]. Available: http://www.cs.toronto.edu/~delve/ Dept. of Comput. Sci., Univ. of Toronto
  • 43
    • 0035313865 scopus 로고    scopus 로고
    • Fuzzy equalization in the construction of fuzzy sets
    • W. Pedrycz, "Fuzzy equalization in the construction of fuzzy sets," Fuzzy Sets Syst., vol. 119, pp. 329-335, 2001.
    • (2001) Fuzzy Sets Syst , vol.119 , pp. 329-335
    • Pedrycz, W.1
  • 44
    • 0032122726 scopus 로고    scopus 로고
    • Conditional fuzzy clustering in the design of radial basis function neural networks
    • Aug
    • W. Pedrycz, "Conditional fuzzy clustering in the design of radial basis function neural networks," IEEE Trans. Neural Netw., vol. 9, pp. 601-612, Aug. 1998.
    • (1998) IEEE Trans. Neural Netw , vol.9 , pp. 601-612
    • Pedrycz, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.