Construction and Optimization of Fuzzy Rule-Based Classifier with a Swarm Intelligent Algorithm

المؤلفون المشاركون

Sun, Jun
Chen, Qidong
Mao, Li

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-04-27

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1202152