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Open AccessArticle

Interval Intuitionistic Fuzzy Clustering Algorithm Based on Symmetric Information Entropy

1
Institute of Big Data for Agriculture and Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
3
Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing Wuzi University, Beijing 101149, China
*
Author to whom correspondence should be addressed.
Symmetry 2020, 12(1), 79; https://doi.org/10.3390/sym12010079 (registering DOI)
Received: 19 November 2019 / Revised: 19 December 2019 / Accepted: 31 December 2019 / Published: 2 January 2020
Based on the continuous optimal aggregation operator, a novel distance measure is proposed to deal with interval intuitionistic fuzzy clustering problems. The optimal ordered weighted intuitionistic fuzzy quasi-averaging (OOWIFQ) operator and the continuous OOWIFQ operator are presented to aggregate all the values in an interval intuitionistic fuzzy number. Some of their desirable properties are also studied. The OOWIFQ operator can describe the fuzzy state of things more realistically and present the fuzzy properties more accurately. The opinions of experts are very important, the OOWIFQ operators take expert preferences into account to reduce systematic errors. Considering the hesitation of things and avoiding distortion of information, we put forward the distance measure for interval intuitionistic fuzzy numbers by using symmetric information entropy. Based on the continuous OOWIFQ operator and proposed distance measure, a new interval intuitionistic fuzzy clustering (IIFC) algorithm is proposed. The application in soil clustering shows the validity and practicability of the IIFC algorithm. View Full-Text
Keywords: interval intuitionistic fuzzy number; aggregation operator; symmetric information entropy; clustering interval intuitionistic fuzzy number; aggregation operator; symmetric information entropy; clustering
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Lin, J.; Duan, G.; Tian, Z. Interval Intuitionistic Fuzzy Clustering Algorithm Based on Symmetric Information Entropy. Symmetry 2020, 12, 79.

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