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.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference |
Editörler | Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga |
Yayınlayan | Springer Verlag |
Sayfalar | 362-368 |
Sayfa sayısı | 7 |
ISBN (Basılı) | 9783030237554 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2020 |
Etkinlik | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019 |
Yayın serisi
Adı | Advances in Intelligent Systems and Computing |
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Hacim | 1029 |
ISSN (Basılı) | 2194-5357 |
ISSN (Elektronik) | 2194-5365 |
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???event.eventtypes.event.conference??? | International Conference on Intelligent and Fuzzy Systems, INFUS 2019 |
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Ülke/Bölge | Turkey |
Şehir | Istanbul |
Periyot | 23/07/19 → 25/07/19 |
Bibliyografik not
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