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Publikováno v:
IEEE Access, Vol 5, Pp 4340-4349 (2017)
How to capture distinctive features from facial images when there are large variations in illumination, poses, and expressions is important for the face recognition problems. This paper introduces a novel algorithm called fuzzy linear regression disc
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
Publikováno v:
FUZZ-IEEE
If all we know about normalized fuzzy sets is which set is a subset of which, will we be able to detect crisp sets? It is known that we can do it if we allow all possible fuzzy sets, including non-normalized ones. In this paper, we show that a simila
Autor:
Rija Hasan, Syed Muhammad G Monir
Publikováno v:
ICSIPA
In this paper an efficient approach of fruit maturity classification based on apparent color of the specimen is implemented by the aid of fuzzy inference system (FIS). Heuristically acquired hue and its corresponding saturation and lightness are the
Autor:
Yuan Wei
Publikováno v:
2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC).
An Improved LDA method is proposed in this paper. A weakness of Existing fuzzy LDA model is that the class mean vector in the expression of between-class scatter matrix is estimated by the class sample average while the mean vector in the definition
Autor:
Venkata Subba Reddy Poli
Publikováno v:
2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy).
dealing with incomplete information is fuzzy rather than probability. Modeling fuzziness in various situations is necessary. In this paper, a new representation of fizzy set typ-2, fuzzy set α-cut and fuzzy temporal set occurs in fuzzy propositions.
Autor:
Venkata Subba Reddy Poli
Publikováno v:
2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy).
Fuzzy logic has flexibility in defining fuzzy sets. Zadeh defined fuzzy sets for incomplete information with single fuzzy membership. The two fold fuzzy set will give more information than the single membership function. In this paper, two fuzzy set
Publikováno v:
SCIS&ISIS
This paper is concerned with a design methodology of an Interval Type-2FCM-based fuzzy neural network classifier. The hidden layer of the proposed architecture is realized by interval type-2 FCM clustering to deal with uncertainties remaining in inpu
Publikováno v:
2016 International Conference on Information Science (ICIS).
This paper introduces an automatic classification of mammogram images by categorizing malignant or normal after segmenting the suspected region. Fuzzy and fuzzy soft set approaches have been used successfully to deal with diverse uncertainties, impre
Publikováno v:
FUZZ-IEEE
Several fuzzy clustering models were proposed by extending intrinsic fuzzy partition mechanisms of probabilistic mixture models and have been shown to have ability of improving the partition quality and interpretability of probabilistic partitions. I