- author = "Myriam Regattieri Delgado and Fernando {Von Zuben} and Fernando Gomide",
- title = "Multi-Objective Decision Making: Towards Improvement of Accuracy, Interpretability and Design Autonomy in Hierarchical Genetic Fuzzy Systems",
- booktitle = "Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE-02",
- pages = "1222--1227",
- year = "2002",
- month = "12-17 " # may,
- address = "Hilton Hawaiian Village Hotel, Honolulu, Hawaii",
- publisher = "IEEE Press",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- organisation = "IEEE",
- ISBN = "0-7803-7280-8",
- keywords = "genetic algorithms, genetic programming, accuracy, classification problem, design autonomy, fitting, fuzzy modelling, fuzzy models, generalisation, hierarchical evolutionary process, hierarchical genetic fuzzy systems, interpretability, interpretation characteristics, multi-objective decision making, single-objective epsiv, -constrained decision making problems , decision theory, fuzzy systems, modelling,",
-
DOI = "
doi:10.1109/FUZZ.2002.1006678",
- abstract = "This paper presents fuzzy modeling as a multi-objective decision making problem considering accuracy, interpretability and autonomy as goals. The proposed approach assumes that these goals can be handled via corresponding single-objective e-constrained decision making problems whose solution is produced by a hierarchical evolutionary process. The fitting, generalization, and interpretation characteristics of the resulting fuzzy models are discussed using a classification problem.",
-
notes = "IJCNN 2002 Held in connection with the World Congress
on Computational Intelligence (WCCI 2002)
The length of the chromosome, fixed by the constraint e2, determines the maximum number of fuzzy rules but smaller rule-bases are always aimed at first.",
