Abstract:
In this paper we propose an approach to design linguistic models which are accurate to a high degree. To do so, we use an extension of the structure of the Knowledge Base of Fuzzy Rule Base Systems, i.e., a more flexible Hierarchical Knowledge Base. This flexibility will allow us to have linguistic rules defined over linguistic partitions with different granularity levels, and thus to improve the modeling of those problem subspaces where the former models have bad performance. The methodology proposed in this paper has been thought as an extension of a previous Two-level methodology -two hierarchical levels-. First, we extend it by developing an Iterative Hierarchical Systems of Linguistic Rules learning methodology with the purpose of performing an accurate refinement of linguistic models in each step of an iterative process -more than two levels-. Later, we extend the Hierarchical Rule Base structure making it more flexible, reinforcing the action of a rule in the subspace where it is defined. This will be performed by allowing the use of weighted and double-consequent reinforced rules.
Registro:
| Documento: |
Conferencia
|
| Título: | Analyzing and extending hierarchical systems of linguistic rules |
| Autor: | Cordón, O.; Herrera, F.; Zwir, I.; Smith M.H.; Gruver W.A.; Hall L.O. |
| Ciudad: | Vancouver, BC |
| Filiación: | Dept. Computer Science and A.I., University of Granada, 18071 - Granada, Spain
Dept. of Computer Science, University of Buenos Aires, 1428 - Buenos Aires, Argentina
|
| Palabras clave: | Hierarchical systems; Iterative methods; Knowledge based systems; Linguistics; Mathematical models; Fuzzy rule base systems; Hierarchical knowledge base; Linguistic rules; Fuzzy sets |
| Año: | 2001
|
| Volumen: | 2
|
| Página de inicio: | 1121
|
| Página de fin: | 1126
|
| Título revista: | Joint 9th IFSA World Congress and 20th NAFIPS International Conference
|
| Título revista abreviado: | Annu Conf North Am Fuzzy Inf Process Soc NAFIPS
|
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon |
Referencias:
- Bardossy, A., Duckstein, L., (1995) Fuzzy Rule-Based Modeling with Application to Geophysical, Biological and Engineering Systems, , CRC Press
- Bastian, A., How to handle the flexibility of linguistic variables with applications (1994) International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2 (4), pp. 463-484
- Cordón, O., Herrera, F., Peregrín, A., Applicability of the fuzzy operators in the design of fuzzy logic controllers (1997) Fuzzy Sets and Systems, 86, pp. 15-41
- Cordón, O., Herrera, F., A three-stage evolutionary process for learning descriptive and approximative fuzzy logic controller knowledge bases from examples (1997) International Journal of Approximate Reasoning, 17 (4), pp. 369-407
- Cordón, O., Herrera, F., Sánchez, L., Solving electrical distribution problems using hybrid evolutionary data analysis techniques (1999) Applied Intelligence, 10, pp. 5-24
- Cordón, O., Herrera, F., Zwir, I., Linguistic modeling by hierarchical systems of linguistic rules (1999), Technical Report #DECSAI-99114, Dept. of Computer Science and Artificial Intelligence, E.T.S. de Ingeniería Informática, University of Granada, Spain; Cordón, O., Herrera, F., Villar, P., Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing (2000) International Journal of Approximate Reasoning, 25 (3), pp. 187-215
- Cordón, O., Herrera, F., A proposal for improving the accuracy of linguistic modeling (2000) IEEE Transactions on Fuzzy Systems, 8 (4), pp. 335-344
- Herrera, F., Lozano, M., Verdegay, J.L., A learning process for fuzzy control rules using genetic algorithms (1998) Fuzzy Sets and Systems, 100, pp. 143-158
- Ishibuchi, H., Nozaki, K., Yamamoto, N., Tanaka, H., Selecting fuzzy if-then rules for classification problems using genetic algorithms (1995) IEEE Transactions on Fuzzy Systems, 3 (3), pp. 260-270
- Sugeno, M., Yasukawa, T., A fuzzy-logic-based approach to qualitative modeling (1993) IEEE Transactions on Fuzzy Systems, 1 (1), pp. 7-31
- Wang, L.X., Mendel, J.M., Generating fuzzy rules by learning from examples (1992) IEEE Transactions on Systems, Man, and Cybernetics, 22, pp. 1414-1427
- Zadeh, L.A., The concept of a linguistic variable and its application to approximate reasoning (1975) Information Science, Part I, 8, pp. 199-249
- Zadeh, L.A., The concept of a linguistic variable and its application to approximate reasoning (1975) Information Science, Part II, 8, pp. 301-357
- Zadeh, L.A., The concept of a linguistic variable and its application to approximate reasoning (1975) Information Science, Part III, 9, pp. 43-80A4 - International Fuzzy Systems Association; North American Fuzzy Information Processing Society
Citas:
---------- APA ----------
Cordón, O., Herrera, F., Zwir, I., Smith M.H., Gruver W.A. & Hall L.O.
(2001)
. Analyzing and extending hierarchical systems of linguistic rules. Joint 9th IFSA World Congress and 20th NAFIPS International Conference, 2, 1121-1126.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon [ ]
---------- CHICAGO ----------
Cordón, O., Herrera, F., Zwir, I., Smith M.H., Gruver W.A., Hall L.O.
"Analyzing and extending hierarchical systems of linguistic rules"
. Joint 9th IFSA World Congress and 20th NAFIPS International Conference 2
(2001) : 1121-1126.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon [ ]
---------- MLA ----------
Cordón, O., Herrera, F., Zwir, I., Smith M.H., Gruver W.A., Hall L.O.
"Analyzing and extending hierarchical systems of linguistic rules"
. Joint 9th IFSA World Congress and 20th NAFIPS International Conference, vol. 2, 2001, pp. 1121-1126.
Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon [ ]
---------- VANCOUVER ----------
Cordón, O., Herrera, F., Zwir, I., Smith M.H., Gruver W.A., Hall L.O. Analyzing and extending hierarchical systems of linguistic rules. Annu Conf North Am Fuzzy Inf Process Soc NAFIPS. 2001;2:1121-1126.
Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS20539_v2_n_p1121_Cordon [ ]
