Pythagorean Fuzzy Clustering Analysis: A Hierarchical Clustering Algorithm with the Ratio Index‐Based Ranking Methods

The Pythagorean fuzzy set introduced by R. R. Yager in 2014 is a useful tool to model imprecise and ambiguous information appearing in decision and clustering problems. In this study, we present a general type of distance measure for Pythagorean fuzzy numbers (PFNs) and propose a novel ratio index‐b...

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Bibliographic Details

Published in:	International journal of intelligent systems Vol. 33; no. 9; pp. 1798 - 1822
Main Author:	Zhang, Xiaolu
Format:	Journal Article
Language:	English
Published:	New York John Wiley & Sons, Inc 01.09.2018
Subjects:	Cluster analysis Clustering Criteria Distance measurement Fuzzy sets Fuzzy systems Intelligent systems Ranking
ISSN:	0884-8173, 1098-111X
Online Access:	Get full text
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