The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Granular Computing: Perspectives and Challenges
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.
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Cites
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RESTRUCTURING LATTICE THEORY: AN APPROACH BASED ON HIERARCHIES OF CONCEPTS
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Rough sets theory for multicriteria decision analysis
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Cited by
Feature Selection of Denial-of-Service Attacks Using Entropy and Granular Computing
Khan, S., Gani, A., Wahab, A. W. A., & Singh, P. K. (2018) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-017-2634-8 · Cited by 53
Metadata
- Authors
- Yao, J. T., Vasilakos, A. V., & Pedrycz, W.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2013-12
- Volume
- 43
- Issue
- 6
- Pages
- 1977-1989
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2059429344
- Cited by
- 567
- References
- 66
- FWCI
- 42.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yao, J. T., Vasilakos, A. V., & Pedrycz, W. (2013). Granular Computing: Perspectives and Challenges. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tsmcc.2012.2236648
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