Results 301 to 310 of about 3,182,929 (347)
Some of the next articles are maybe not open access.
Granular Computing and Human-Centricity in Computational Intelligence
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010Information granules and ensuing Granular Computing offer interesting opportunities to endow processing with an important facet of human-centricity. This facet implies that the underlying processing supports non-numeric data inherently associated with the variable perception of humans. Systems that commonly become distributed and hierarchical, managing
openaire +1 more source
A hypergraph model of granular computing
2008 IEEE International Conference on Granular Computing, 2008A hypergraph model of granular computing is proposed. In this model, a vertex refers to an object, a hyperedge corresponds to a granule, a hypergraph relates to a set of granules and their relations in a specific granularity, and a series of hypergraphs correspond to a hierarchical structure.
Guang Chen, Ning Zhong 0001, Yiyu Yao
openaire +1 more source
Bearing fault diagnosis algorithm based on granular computing
Granular Computing, 2022Xiaoyong Wang, Jianhua Yang, Wei Lu
semanticscholar +1 more source
The linguistic modeling of interval-valued time series: A perspective of granular computing
Information Sciences, 2019Modeling interval-valued time series (ITS) is an ongoing timely issue in the domain of time series analysis. Many researchers proposed diverse numeric models showing better performance of these models at the numeric level.
Wei Lu +5 more
semanticscholar +1 more source
Granular and rough computing on covering
2012 IEEE International Conference on Granular Computing, 2012Covering-based rough set (CRS) is a meaningful and important generalization of Pawlak's rough set theory. The primary goal of this paper is to extend the formal study to partial covering (PCov) in terms of the global granular computing model (global/2nd GrC model).
Jun Xie +2 more
openaire +1 more source
Concept-wise granular computing for explainable artificial intelligence
Granular Computing, 2022A. L. Alfeo +2 more
semanticscholar +1 more source
Granular computing biapproximation spaces
2005 IEEE International Conference on Granular Computing, 2005The purpose of the present work is to construct a new method for approximation of sets using two information systems simultaneously. Some properties and characterizations are given and a comparison with the previous sorts of approximation is obtained.
A. M. Kozae, H. M. Abu-Donia
openaire +1 more source
2009
It is well accepted that in many real life situations information is not certain and precise but rather uncertain or imprecise. To describe uncertainty probability theory emerged in the 17th and 18th century. Bernoulli, Laplace and Pascal are considered to be the fathers of probability theory.
openaire +1 more source
It is well accepted that in many real life situations information is not certain and precise but rather uncertain or imprecise. To describe uncertainty probability theory emerged in the 17th and 18th century. Bernoulli, Laplace and Pascal are considered to be the fathers of probability theory.
openaire +1 more source
Machine Learning in Granular Computing
2009Main purpose of the Granular Computing (GrC) is to find a novel way to acquire knowledge for huge orderless very high dimensional perception information. Obviously, such kind Granular Computing (GrC) has close relationship with machine learning. In this paper, we try to study the machine learning under the point of view of Granular Computing (GrC ...
Hong Hu 0001, Zhongzhi Shi
openaire +1 more source
Intensional theory of granular computing
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources