Results 311 to 320 of about 3,182,929 (347)

Temporal-spatial three-way granular computing for dynamic text sentiment classification

Information Sciences, 2022
Xin Yang, Yujie Li, Qiuke Li, Dun Liu, Tianrui Li   +4 more
semanticscholar   +1 more source

A novel clustering ensemble model based on granular computing

Applied intelligence (Boston), 2021
Li Xu, Shifei Ding
semanticscholar   +1 more source

Granular computing for data mining

SPIE Proceedings, 2006
Granular computing, as an emerging research field, provides a conceptual framework for studying many issues in data mining. This paper examines some of those issues, including data and knowledge representation and processing. It is demonstrated that one of the fundamental tasks of data mining is searching for the right level of granularity in data and ...
openaire   +1 more source

A Categorial Basis for Granular Computing

2007
The theory of granular computing is accorded a formal mathematical basis, by presenting its main features using a category-theoretic language. A category $\cal C_G$ of granulations is proposed. It is shown how two main operations between granulations, viz. coarsening and refinement, can be expressed in terms of $\cal C_G$-morphisms.
Mohua Banerjee, Yiyu Yao
openaire   +1 more source

Structural rule-based modeling with granular computing

Applied Soft Computing, 2022
Tinghui Ouyang
semanticscholar   +1 more source

Covering-based granular computing

2008 IEEE International Conference on Granular Computing, 2008
Granular computing is a methodology for intelligent information processing. It uses granules such as classes, clusters, subsets, and blocks to construct an efficient computational model for complex applications with huge amounts of data, information and knowledge. This subject is related to other fields such as artificial intelligence, cluster analysis,
openaire   +1 more source

Fuzzy Measures and Granular Computing

2010
From the view point of granular computing, by analyzing the structure of fuzzy measures based on the quotient space analytical method, we have the following results: (1) the necessary and sufficient condition of the isomorphism of fuzzy measure functions in fuzzy mathematics; (2) the necessary and sufficient condition of the fuzzy and granular monotony
Ling Zhang 0001, Bo Zhang 0010
openaire   +1 more source

Granular Computing and Cognitive Informatics

2006 5th IEEE International Conference on Cognitive Informatics, 2006
Although the term "granular computing (GrC)" was first explicitly used by researchers in computational intelligence, its fundamental ideas and principles have long appeared in many branches of sciences. Granular computing, in our view, attempts to extract the commonalities from existing fields to establish a set of generally applicable principles, to ...
openaire   +1 more source

Algebraic method for granular computing

2008 IEEE International Conference on Granular Computing, 2008
The ideas and principles of granular computing, i.e., problem solving with different granularities, have been studied in many fields. Granular computing is becoming an intriguing research direction for more and more researchers all over the world. For the further improvement of granular computing, it seems that we researchers need to do more researches
openaire   +1 more source

Three-way decisions: beyond rough sets and granular computing

International Journal of Machine Learning and Cybernetics, 2020
Dun Liu, Xin Yang, Tianrui Li
semanticscholar   +1 more source