Literature DB >> 23757594

Granular computing: perspectives and challenges.

JingTao Yao, Athanasios V Vasilakos, Witold Pedrycz.   

Abstract

Granular computing, as a new and rapidly growing paradigm of information processing, has attracted many researchers and practitioners. Granular computing is an umbrella term to cover any theories, methodologies, techniques, and tools that make use of information granules in complex problem solving. The aim of this paper is to review foundations and schools of research and to elaborate on current developments in granular computing research. We first review some basic notions of granular computing. Classification and descriptions of various schools of research in granular computing are given. We also present and identify some research directions in granular computing.

Mesh:

Year:  2013        PMID: 23757594     DOI: 10.1109/TSMCC.2012.2236648

Source DB:  PubMed          Journal:  IEEE Trans Cybern        ISSN: 2168-2267            Impact factor:   11.448


  4 in total

1.  A comprehensive model and computational methods to improve Situation Awareness in Intelligence scenarios.

Authors:  Angelo Gaeta; Vincenzo Loia; Francesco Orciuoli
Journal:  Appl Intell (Dordr)       Date:  2021-08-01       Impact factor: 5.086

2.  A Dual Hesitant Fuzzy Multigranulation Rough Set over Two-Universe Model for Medical Diagnoses.

Authors:  Chao Zhang; Deyu Li; Yan Yan
Journal:  Comput Math Methods Med       Date:  2015-12-09       Impact factor: 2.238

3.  Granular computing with multiple granular layers for brain big data processing.

Authors:  Guoyin Wang; Ji Xu
Journal:  Brain Inform       Date:  2014-09-06

4.  A Variable-Scale Data Analysis-Based Identification Method for Key Cost Center in Intelligent Manufacturing.

Authors:  Ai Wang; Xuedong Gao
Journal:  Comput Intell Neurosci       Date:  2022-05-10
  4 in total

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