Genetic Algorithm Optimization for Determining Fuzzy Measures from Fuzzy Data
Fuzzy measures and fuzzy integrals have been successfully used in many real applications. How to determine fuzzy measures is a very difficult problem in these applications. Though there have existed some methodologies for solving this problem, such as genetic algorithms, gradient descent algorithms,...
Saved in:
| Main Authors: | Chen Li, Gong Zeng-tai, Duan Gang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/542153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New Insights into Fuzzy Genetic Algorithms for Optimization Problems
by: Oleksandr Syzonov, et al.
Published: (2024-12-01) -
Optimization Neuro Fuzzy Using Genetic Algorithm For Diagnose Typhoid Fever
by: Muhamad Nasrul Fata, et al.
Published: (2019-05-01) -
Learning Fuzzy Cognitive Maps using Structure Optimization Genetic Algorithm
by: Katarzyna Poczęta, et al.
Published: (2015-10-01) -
Fuzzy clustering method based on genetic algorithm in intrusion detection study
by: HUANG Min-ming LIN Bo-gang
Published: (2009-01-01) -
Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic
by: Sujuan Wang, et al.
Published: (2025-04-01)