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Publikováno v:
IEEE Access, Vol 9, Pp 109053-109066 (2021)
Cubic bipolar fuzzy set (CBFS) is a powerful model for dealing with bipolarity and vagueness altogether because it contains bipolar fuzzy information and interval-valued bipolar fuzzy information simultaneously. In this article, we define some new no
Publikováno v:
ICACI
By considering all the three parameters describing Pythagorean fuzzy set, we introduce a new technique of computing correlation coefficient between Pythagorean fuzzy sets from statistical perspective. The correlation coefficient value obtain via this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd15ed88f688548f8439dba9f32d895
https://hdl.handle.net/10453/158161
https://hdl.handle.net/10453/158161
Autor:
Leila Baccour, Adel M. Alimi
Publikováno v:
FUZZ-IEEE
Following the importance of distance measures in pattern classification, and their application to many kinds of data, crisp, fuzzy, etc, distance measures between intuitionistic fuzzy sets (IFSs) are proposed and generalized to distances between inte
An open-source software package to assess similarity measures that compare intuitionistic fuzzy sets
Autor:
Guy De Tré, Marcelo Loor
Publikováno v:
FUZZ-IEEE
Since intuitionistic fuzzy sets (IFSs) have been applied to solve problems in topics like decision-making or pattern recognition, the study of similarity measures aiming to compare this kind of fuzzy sets has become a challenging research subject. Wh
Autor:
Roque Mendes Prado Trindade, Vanessa B. F. Neves, Regivan H. N. Santiago, Ana Maria G. Guerrreiro, Divino Levi Miguel, Isadora B. Soares, Alecio Santos Barros, Reginaldo Pereira Costa, Alexsandra Oliveira Andrade
Publikováno v:
NAFIPS/WConSC
Mathematical Morphology presents a systematic model to extract geometric features of images using morphological operators that transform the original image into another, using a third image called structuring element. Fuzzy mathematical morphology ex
Autor:
Jiashun Chen, Dechang Pi
Publikováno v:
2013 International Conference on Computational and Information Sciences.
Aiming at the weak points of fuzzy cluster validity indexes that measure compactness within cluster and separation between clusters based on distance, we propose a new non-distance cluster index. Firstly, we analyze that validity index based on dista
Autor:
Adam Gacek
Publikováno v:
IFSA/NAFIPS
Fuzzy clustering has been one of the commonly used vehicles to construct information granules (whose description is provided in terms of prototypes and partition matrices). The quality of resulting information granules can be assessed by quantifying
Autor:
Kuo-Chen Hung, Kuo-Ping Lin
Publikováno v:
2012 IEEE International Conference on Industrial Engineering and Engineering Management.
Recent several researches have developed similarity measures method for handling pattern recognition problems based on intuitionistic fuzzy sets. However, in some cases, those proposed method can not give sufficient information to discriminate from s
Publikováno v:
SMC
Clustering analysis is an important tool used in several application domains like pattern recognition, computer vision and computational biology to summarize data. The fuzzy c-means method (FCM) is the most popular fuzzy clustering algorithm, however
Autor:
Yong Zhang
Publikováno v:
2012 Fifth International Symposium on Computational Intelligence and Design.
Multiple linear regression (MLR), the principal components analysis (PCA) and partial least squares (PLS) method are the traditional chemo metric methods in the near infrared spectral analysis. However", "these linear methods could not obtain the ver