This study revisits generic concepts of information granules and Granular Computing in this setting and elaborates on a fundamental way of forming information ...
Feb 1, 2013 · ▻ Granular models are aimed at human-centric analysis of signals. ▻ Design of information granules are discussed with the use of sets and fuzzy ...
This study engages a principle of justifiable granularity as a way of forming type-1 and type-2 information granules—granular interval-valued ...
This study revisits generic concepts of information granules and Granular Computing in this setting and elaborates on a fundamental way of forming information ...
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Oct 22, 2024 · Granular computing is a general computation theory for effectively using granules such as classes, clusters, subsets, groups and intervals to ...
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Abstract - In this paper, we use a set of unified components to conduct granular modeling for problem solving paradigms in several fields of computing.
For example, Gacek and Pedrycz developed a general framework of a granular representation of ECG signals [73], which share many common features with the EEG ...
This book is about Granular Computing (GC) - an emerging conceptual and of information processing. As the name suggests, GC concerns computing paradigm ...
Granular Computing delivers a cohesive framework supporting a formation of information granules and facilitating their processing. We exploit an essential ...
Sep 3, 2022 · The study proposes a way of developing granular models based on optimized subsets of data with different sampling sizes.