TITLE:
Introduce a Novel PCA Method for Intuitionistic Fuzzy Sets Based on Cross Entropy
AUTHORS:
Sonia Darvishi, Adel Fatemi, Pouya Faroughi
KEYWORDS:
PCA, Cross Entropy, Intuitionistic Fuzzy Sets, Discrimination Information Measure, A-IFSs
JOURNAL NAME:
Applied Mathematics,
Vol.6 No.6,
June
4,
2015
ABSTRACT: In this paper, a new method for Principal Component Analysis in intuitionistic fuzzy situations has been proposed. This approach is based on cross entropy as an information index. This new method is a useful method for data reduction for situations in which data are not exact. The inexactness in the situations assumed here is due to fuzziness and missing data information, so that we have two functions (membership and non-membership). Thus, method proposed here is suitable for Atanasov’s Intuitionistic Fuzzy Sets (A-IFSs) in which we have an uncertainty due to a mixture of fuzziness and missing data information. For the demonstration of the application of the method, we have used an example and have presented a conclusion.