Evolutionary generation of implicative fuzzy rules for design knowledge representation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4200 LNAI, Issue , 2006, Pages 222-229

  Freischlad, Mark ^a   Schnellenbach Held, Martina ^a   Pullmann, Torben ^a  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; GENETIC ALGORITHMS; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; OPTIMIZATION;

COMPLEX STRUCTURAL SYSTEMS; EVOLUTIONARY DESIGN; FUZZY RULES; REASONING MECHANISMS;

FUZZY SETS;

EID: 33751383089     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11888598_22     Document Type: Conference Paper

References (7)

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2. Dubois, D., Prade, H., Ughetto, L.: A new perspective on reasoning with fuzzy rules. International Journal of Intelligent Systems, V. 18 N. 5 (2003) 541-567
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4. Freischlad, M., Schneilenbach-Held, M.: A machine learning approach for the support of preliminary structural design. Advanced Engineering Informatics, Vol. 19, No 4 (2005) 281-287
5. 3 Fuzzy Rule Systems from Data Using Evolution Strategies. IEEE Transactions on Systems, Man and Cybernetics, Part B 29(4) (1999) 829-845
6. Fonseca, C. M., Fleming, P. J.: Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization. In: Forrest, S. (ed.): Genetic Algorithms: Proceedings of the Fifth International Conference. San Mateo, CA: Morgan Kaufmann (1993) 416-423
7. Pullmann, T., Skolicki, Z., Freischlad, M., Arciszewski, T., De Jong, K., Schnellenbach-Held, M.: Structural Design of Reinforced Concrete Tall Buildings: Evolutionary Computation Approach Using Fuzzy Sets. In: Ciftcioglu, Ö., Dado, E. (eds.): Intelligent Computing in Engineering, Foundation of Design Research SOON (2003) 53-61