The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic
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Citations
Cites
The Concept of a Linguistic Variable and Its Application to Approximate Reasoning—II
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90046-8 · Cited by 2,555 · cited 1×
“…paper on fuzzy sets [24]; 1971 paper on fuzzy systems [26]; 1973-1976 papers on linguistic variables, fuzzy if-then rules and fuzzy graphs [27] [28] [29] [30]; 1979 paper on fuzzy sets and information granularity [31]; 1986 paper on generalized constraints [32] and 1996 paper on computing with…”
Self-citation
Cited by
Is There a Need for Fuzzy Logic?
Zadeh, L. A. (2008) · Information Sciences · doi:10.1016/j.ins.2008.02.012 · Cited by 1,352
Self-citationNeighborhood rough set based heterogeneous feature subset selection
Hu, Q., Yu, D., Liu, J., & Wu, C. (2008) · Information Sciences · doi:10.1016/j.ins.2008.05.024 · Cited by 1,085
Granular Computing: Perspectives and Challenges
Yao, J. T., Vasilakos, A. V., & Pedrycz, W. (2013) · IEEE Transactions on Cybernetics · doi:10.1109/tsmcc.2012.2236648 · Cited by 567
Granular ball computing classifiers for efficient, scalable and robust learning
Xia, S., Liu, Y., Ding, X., Wang, G., Yu, H., & Luo, Y. (2019) · Information Sciences · doi:10.1016/j.ins.2019.01.010 · Cited by 341
On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers
Wu, D. (2012) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2186818 · Cited by 339
Metadata
- Authors
- Zadeh, L. A.
- Venue
- Fuzzy Sets and Systems
- Publisher
- Elsevier BV
- Published
- 1997-09
- Volume
- 90
- Issue
- 2
- Pages
- 111-127
- ISSN
- 0165-0114 (ISSN-L)
- OpenAlex
- W2153676086
- Cited by
- 2,897
- References
- 1
- FWCI
- 37.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Zadeh, L. A. (1997). Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems. https://doi.org/10.1016/s0165-0114(97)00077-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
