Combination of multiple classifiers for the customer's purchase behavior prediction
Decision Support Systems - Special issue: Agents and e-commerce business models
A Function-Based Classifier Learning Scheme Using Genetic Programming
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Computer Networks: The International Journal of Computer and Telecommunications Networking
On-line evolvable fuzzy system for ATM cell-scheduling
Journal of Systems Architecture: the EUROMICRO Journal
Knowledge acquisition from quantitative data using the rough-set theory
Intelligent Data Analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An improved approach to find membership functions and multiple minimum supports in fuzzy data mining
Expert Systems with Applications: An International Journal
Improved genetic algorithm for optimal design of fuzzy classifier
International Journal of Computer Applications in Technology
An ACS-based framework for fuzzy data mining
Expert Systems with Applications: An International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Vibration control of suspension system based on a hybrid intelligent control algorithm
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
An improved two-stage camera calibration method based on particle swarm optimization
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Improving fuzzy knowledge integration with particle swarmoptimization
Expert Systems with Applications: An International Journal
International Journal of Approximate Reasoning
Design of t–s fuzzy classifier via linear matrix inequality approach
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Assigning cells to switches in cellular mobile networks: a comparative study
Computer Communications
An Intelligent Operator for Genetic Fuzzy Rule Based System
International Journal of Intelligent Information Technologies
An effective parallel approach for genetic-fuzzy data mining
Expert Systems with Applications: An International Journal
A new method for fuzzy rule base reduction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.01 |
We propose a genetic algorithm-based fuzzy knowledge integration framework that can simultaneously integrate multiple fuzzy rule sets and their membership function sets. The proposed approach consists of two phases: fuzzy knowledge encoding and fuzzy knowledge integration. In the encoding phase, each fuzzy rule set with its associated membership functions is first transformed into an intermediary representation and then further encoded as a string. The combined strings form an initial knowledge population, which is then ready for integration. In the knowledge-integration phase, a genetic algorithm is used to generate an optimal or nearly optimal set of fuzzy rules and membership functions from the initial knowledge population. Two application domains, the hepatitis diagnosis and the sugarcane breeding prediction, were used to show the performance of the proposed knowledge-integration approach. Results show that the fuzzy knowledge base derived using our approach performs better than every individual knowledge base