Knowledge discovery and semantic learning in the framework of axiomatic fuzzy set theory
Sign Up to like & getrecommendations! Published in 2018 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1268
Abstract: Axiomatic fuzzy set (AFS) theory facilitates a way on how to transform data into fuzzy sets (membership functions) and implement their fuzzy logic operations, which provides a flexible and powerful tool for representing human knowledge… read more here.
Keywords: knowledge; axiomatic fuzzy; knowledge discovery; afs theory ... See more keywords
Eyebrow semantic description via clustering based on Axiomatic Fuzzy Set
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DOI: 10.1002/widm.1275
Abstract: In this paper, we aim to extract the eyebrow semantic descriptors based on the Axiomatic Fuzzy Set (AFS) theory. First, we normalize the image of the eyebrows and automatically mark it by using a recently… read more here.
Keywords: axiomatic fuzzy; based axiomatic; semantic descriptors; eyebrow semantic ... See more keywords
New semantic descriptor construction for facial expression recognition based on axiomatic fuzzy set
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DOI: 10.1007/s11042-017-4818-3
Abstract: In this paper, we propose a new semantic descriptor based on axiomatic fuzzy set (AFS) to describe facial expressions. The new descriptor has two advantages: The first one is that it does not depend on… read more here.
Keywords: descriptor; axiomatic fuzzy; based axiomatic; new semantic ... See more keywords
Interpretable Facial Semantic Extractor Based on Axiomatic Fuzzy Set
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DOI: 10.1109/access.2019.2951373
Abstract: The main purpose of this paper is to label one face to which it refers using a commonly accepted concept or linguistic term that corresponds to a given face class. Therefore, a facial semantic description… read more here.
Keywords: tex math; facial semantic; based axiomatic; inline formula ... See more keywords
Hierarchical Axiomatic Fuzzy Set Granulation for Financial Time Series Clustering
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DOI: 10.1109/tfuzz.2020.3048514
Abstract: Financial time series are generally high-dimensional, non-stationary and exhibit heteroscedasticity. To derive a suitable way to cluster financial time series, these characteristics have to be taken into consideration. With this aim, the financial time series… read more here.
Keywords: axiomatic fuzzy; time; time series; financial time ... See more keywords