Construction and Optimization of Fuzzy Rule-Based Classifier with a Swarm Intelligent Algorithm
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In this paper, we propose a particle swarm optimization method incorporating quantum qubit operation to construct and optimize fuzzy rule-based classifiers.
The proposed algorithm, denoted as QiQPSO, is inspired by the quantum computing principles.
It employs quantum rotation gates to update the probability of each qubit with the corresponding quantum angle updating according to the update equation of the quantum-behaved particle swarm optimization (QPSO).
After description of the principle of QiQPSO, we show how to apply QiQPSO to establish a fuzzy classifier through two procedures.
The QiQPSO algorithm is first used to construct the initial fuzzy classification system based on the sample data and the grid method of partitioning the feature space, and then the fuzzy rule base of the initial fuzzy classifier is optimized further by QiQPSO in order to reduce the number of the fuzzy rules and thus improve its interpretability.
In order to verify the effectiveness of the proposed method, QiQPSO is tested on various real-world classification problems.
The experimental results show that the QiQPSO is able to effectively select feature variables and fuzzy rules of the fuzzy classifiers with high classification accuracies.
The performance comparison with other methods also shows that the fuzzy classifier optimized by QiQPSO has higher interpretability as well as comparable or even better classification accuracies.
American Psychological Association (APA)
Mao, Li& Chen, Qidong& Sun, Jun. 2020. Construction and Optimization of Fuzzy Rule-Based Classifier with a Swarm Intelligent Algorithm. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1202152
Modern Language Association (MLA)
Mao, Li…[et al.]. Construction and Optimization of Fuzzy Rule-Based Classifier with a Swarm Intelligent Algorithm. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1202152
American Medical Association (AMA)
Mao, Li& Chen, Qidong& Sun, Jun. Construction and Optimization of Fuzzy Rule-Based Classifier with a Swarm Intelligent Algorithm. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1202152
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202152