A study about the inclusion of linguistic hedges in a fuzzy rule learning algorithm

International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems

Volumn 7, Issue 3, 1999, Pages 257-266

  Gonzalez A ^a   Perez R ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Fuzzy Rules; Genetic Algorithms; Linguistic Hedges; Machine Learning

Indexed keywords

EID: 0001170207     PISSN: 02184885     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218488599000192     Document Type: Article

References (21)

1. L. Castillo, A. Gonzalez and R. Pérez, "Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm", Fuzzy Set and System.
2. P. Clark and T. Niblett, "Learning If Then Rules in Noisy Domains". TIRM 86-019, The Turing Institute, Glasgow (1986).
3. Cordon O. and Herrera F. "A Three-Stage Evolutionary Process for Learning Descriptive and Approximate Fuzzy-Logic-Controller Knowledge Bases From Examples" . International Journal of Approximate Reasoning, 17, (1997) 369-407.
4. O. Cordón, M.J. del Jesus and F. Herrera, "Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods", International Journal of Intelligent Systems, vol. 13 (1998) 1025-1053.
5. L.J. Eshelman and J.D. Schaffer, "Real Coded Genetic Algorithm and Interval Schemata", in Foundations of Genetic Algorithm 2, in L.D. Whitley (Ed.), Morgan Kaufmann Publishers, San Mateo, (1993) 187-202.
6. A. Gonzalez and F. Herrera, "Multi-stage Genetic Fuzzy Systems Based on the Iterative Rule Learning Approach", Mathware and Soft Computing, Vol 4, n. 3, (1997) 233-249.
7. A. González, R. Pérez and J.L. Verdegay, "Learning the Structure of a Fuzzy Rule: an Genetic Approach". Proceedings del First European Congress on Fuzzy and Intelligent Technologies, Vol 2, (1993) 814-819, also in Fuzzy Systems and Artificial Intelligence, Vol 3, 1, (1994) 57-70.
8. A. González, R. Pérez and J.L. Verdegay, "Learning the Structure of a Fuzzy Rule: an Genetic Approach". Proceedings del First European Congress on Fuzzy and Intelligent Technologies, Vol 2, (1993) 814-819, also in Fuzzy Systems and Artificial Intelligence, Vol 3, 1, (1994) 57-70.
9. A. Gonzalez and R. Pérez, "A Learning System of Fuzzy Control Rules". In: F. Herrera, J.L. Verdegay (Eds.), Genetic Algorithms and Soft Computing, Physica-Verlag, (1996) 202-225.
10. A. Gonzalez and R. Pérez, "A two level genetic fuzzy learning algorithm for solving complex problems". Proceedings of IFSA'97, Vol 2, (1997) 192-197.
11. A. González and R. Pérez, "Using information measures for determining the relevance of the predictive variables in learnings problems", proceedings of FUZZIEEE'97, Vol 3, (1997) 1423-1428.
12. A. Gonzalez and R. Pérez, "Completeness and Consistency conditions for learning fuzzy rules". Fuzzy Sets and Systems 96 (1998) 37-51.
13. A. González and R. Pérez, "SLAVE: A genetic learning system based on an iterative approach", IEEE Transaction on Fuzzy System, vol. 7, n. 2, (1999) 176-191.
14. L. Magdalena, "Adapting the Gain of an FLC with Genetic Algorithms". International Journal of Approximate Reasoning, 17 (1997) 327-349.
15. L. Magdalena and F. Monasterio, "A Fuzzy Logic Controller with Learning Through the Evolution of its Knowledge Base". International Journal of Approximate Reasoning, 16 (1997) 335-358.
16. Z. Michalewicz, "Genetic Algorithms + Data Structures = Evolutive Programs", Ed. Springer Verlag, NY, 1992.
17. J.R. Quinlan, "C4.5: Programs for Machine Learning". Morgan Kaufmann Publishers, San Francisco, 1993.
18. L. Wang and M. Mendel, "Generating fuzzy rules by learning from examples". IEEE Transactions on systems, man and cybernetics, vol.22 n.6 (1992) 1414-1427.
19. L.A. Zadeh, "The concept of a linguistic variable and its applications to approximate reasoning". Part I Information Sciences vol.8, 199-249, Part II Information Sciences vol. 8, 301-357, Part III Information Sciences vol. 9, 43-80 (1975).
20. L.A. Zadeh, "The concept of a linguistic variable and its applications to approximate reasoning". Part I Information Sciences vol.8, 199-249, Part II Information Sciences vol. 8, 301-357, Part III Information Sciences vol. 9, 43-80 (1975).
21. L.A. Zadeh, "The concept of a linguistic variable and its applications to approximate reasoning". Part I Information Sciences vol.8, 199-249, Part II Information Sciences vol. 8, 301-357, Part III Information Sciences vol. 9, 43-80 (1975).