A hesitant fuzzy correspondence analysis
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Springer
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info:eu-repo/semantics/closedAccess
Özet
Correspondence Analysis (CA), an explanatory multivariate statistical technique, allows a visual representation of relationships between categorical variables. Even the method is widely used in most of the disciplines, in its original form, CA is not able to represent the uncertainty involving in real life problems. To address this issue, a Hesitant Fuzzy Sets approach to CA is proposed to represent a particular type of uncertainty caused by human doubt.
Açıklama
Kadaifçi, Çiğdem (Dogus Author) -- Conference full title: International Conference on Intelligent and Fuzzy Systems, INFUS 2019; Istanbul; Turkey; 23 July 2019 through 25 July 2019.
Anahtar Kelimeler
Correspondence Analysis, Hesitant Fuzzy Sets, Uncertainty
Kaynak
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
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Künye
Bozdağ, E., Yanmaz, O., & Kadaifçi, Ç. (2019). A hesitant fuzzy correspondence analysis. In C. Kahraman, S. Cebi, S. Çevik Onar, B. Öztaysı, A. C. Tolga, İ. Ucal Sarı (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making (pp. 362-368). Cham: Springer. http://dx.doi.org/10.1007/978-3-030-23756-1_45
