A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images
By Tamalika Chaira. Applied Soft Computing, 2011
419 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e9d20165cfb39599b7d71cff6274c6469e5a60ce
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In Computational Theory and Mathematics
In Computer Vision and Pattern Recognition
In Management Science and Operations Research
Citations in the corpus
- Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems (2016, neutral): “…decision-making (MCDM) problems (Chen, 2010; Liu & Wang, 2007; Xu, 2012; Zeng & Su, 2011; Zhi & Li, 2012), neural networks (Sotirov, Sotirova, & Orozova, 2009), medical diagnosis (Shinoj & Sunil, 2012), colour region extraction (Chaira, 2010, 2011) and market prediction (Joshi & Kumar, 2012).”
- Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis (2013, neutral): “systems [41–45].”
- Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems (2014, methodology): “As for the present, IFSs have been widely applied in solving multicriteria decision making problems [10–14], neural networks [15, 16], medical diagnosis [17], color region extraction [18, 19], market prediction [20], and so forth.”