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The roots of granular computing

2006 IEEE International Conference on Granular Computing, 2006
Granular Computing arose as a synthesis of insights into human-centred information processing by Zadeh in the late '90s and the Granular Computing name was coined, at this early stage, by T.Y Lin. Although the name is now in widespread use, or perhaps because of it, there are calls for a clarification of the distinctiveness of Granular Computing ...
Andrzej Bargiela, Witold Pedrycz
openaire   +1 more source

Granular Computing: Granular Classifiers and Missing Values

6th IEEE International Conference on Cognitive Informatics, 2007
Granular computing is a paradigm destined to study how to compute with granules of knowledge that are collective objects formed from individual objects by means of a similarity measure. The idea of granulation was put forth by Lotfl Zadeh: granulation is inculcated in fuzzy set theory by the very definition of a fuzzy set and inverse values of fuzzy ...
Lech Polkowski, Piotr Artiemjew
openaire   +1 more source

A multilevel neighborhood sequential decision approach of three-way granular computing

Information Sciences, 2020
The fusion of three-way decision and granular computing provides powerful ideas and methods to understand and solve the problems of cognitive science by thinking and information processing in threes.
Xin Yang, Tianrui Li, Dun Liu, H. Fujita
semanticscholar   +1 more source

Granular representation and granular computing with fuzzy sets

Fuzzy Sets and Systems, 2012
In this study, we introduce a concept of a granular representation of numeric membership functions of fuzzy sets, which offers a synthetic and qualitative view at fuzzy sets and their ensuing processing. The notion of consistency of the granular representation is formed, which helps regard the problem as a certain optimization task.
Adam Pedrycz, KAORU HIROTA, Witold Pedrycz, fangyan dong   +3 more
openaire   +1 more source

Granular Computing for Machine Learning: Pursuing New Development Horizons

IEEE Transactions on Cybernetics
Undoubtedly, machine learning (ML) has demonstrated a wealth of far-reaching successes present both at the level of fundamental developments, design methodologies and numerous application areas, quite often encountered in domains requiring a high level ...
Witold Pedrycz
semanticscholar   +1 more source

Granular computing for data analytics: a manifesto of human-centric computing

IEEE/CAA Journal of Automatica Sinica, 2018
In the plethora of conceptual and algorithmic developments supporting data analytics and system modeling, humancentric pursuits assume a particular position owing to ways they emphasize and realize interaction between users and the data. We advocate that
Witold Pedrycz
exaly   +2 more sources

GBCT: Efficient and Adaptive Clustering via Granular-Ball Computing for Complex Data

IEEE Transactions on Neural Networks and Learning Systems
Traditional clustering algorithms often focus on the most fine-grained information and achieve clustering by calculating the distance between each pair of data points or implementing other calculations based on points.
Shuyin Xia, Bolun Shi, Yifan Wang, Jiang Xie, Guoyin Wang, Xinbo Gao   +5 more
semanticscholar   +1 more source

A survey on granular computing and its uncertainty measure from the perspective of rough set theory

Granular Computing, 2019
Yunlong Cheng, Qinghua Zhang, Guoyin Wang   +2 more
exaly   +2 more sources

A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches

Journal of Computational Science, 2018
In this article, a novel M-factors fuzzy time series (FTS) forecasting model is presented, which relies upon on the hybridization of two procedures, viz., granular computing and bio-inspired computing.
Pritpal Singh, Gaurav Dhiman
exaly   +2 more sources

A temporal-spatial composite sequential approach of three-way granular computing

Information Sciences, 2019
Based on the idea of three-way granular computing, the temporality and spatiality of three-way decision are interdependent. The former focuses on multi-stage thinking, problem solving, and information processing in threes under dynamic decision ...
Xin Yang, Dun Liu, Hamido Fujita
exaly   +2 more sources