𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Identification of λ-fuzzy measure by genetic algorithms

✍ Scribed by Keon-Myung Lee; Hyung Leekwang


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
482 KB
Volume
75
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Tuning fuzzy logic controllers by geneti
✍ F. Herrera; M. Lozano; J.L. Verdegay 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 692 KB

The performance of a fuzzy logic controller depends on its control rules and membership functions. Hence, it is very important to adjust these parameters to the process to be controlled. A method is presented for tuning fuzzy control rules by genetic algorithms to make the fuzzy logic control system

Redundant fuzzy rules exclusion by genet
✍ A. Lekova; L. Mikhailov; D. Boyadjiev; A. Nabout 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 562 KB

A genetic-algorithm-based method for exclusion of the potential redundant if-then fuzzy rules that have been extracted from numerical input-output data is proposed. The main idea is the input-space separation into activation rectangles, corresponding to certain output intervals. The generation of fu