The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Intuitionistic Fuzzy Information Aggregation Using Einstein Operations
Abstract
Aggregation of fuzzy information is a new branch of Atanassov's intuitionistic fuzzy set (AIFS) theory, which has attracted significant interest from researchers in recent years. In this paper, we treat the intuitionistic fuzzy aggregation operators with the help of Einstein operations. We first introduce some new operations of AIFSs, such as Einstein sum, Einstein product, and Einstein scalar multiplication. Then, we develop some intuitionistic fuzzy aggregation operators, such as the intuitionistic fuzzy Einstein weighted averaging operator and the intuitionistic fuzzy Einstein ordered weighted averaging operator, which extend the weighted averaging operator and the ordered weighted averaging operator to aggregate Atanassov's intuitionistic fuzzy values, respectively. We further establish various properties of these operators and analyze the relations between these operators and the existing intuitionistic fuzzy aggregation operators. Moreover, we give some numerical examples to illustrate the developed aggregation operators. Finally, we apply the intuitionistic fuzzy Einstein weighted averaging operator to multiple attribute decision making with intuitionistic fuzzy information.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Zadeh, L. A. (1996) · Cited by 46,844
Atanassov, K. T. (1986) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(86)80034-3 · Cited by 16,465
Multiple Attribute Decision Making
Hwang, C.-L., & Yoon, K. (1981) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-48318-9 · Cited by 8,526
Multiple Attribute Decision Making: Methods and Applications
Chen, S.-J. J., Hwang, C. L., Beckmann, M. J., & Krelle, W. E. (1981) · Medical Entomology and Zoology · Cited by 8,207
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
Yager, R. R. (1988) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.87068 · Cited by 7,289
Upper and Lower Probabilities Induced by a Multivalued Mapping
Dempster, A. P. (1967) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177698950 · Cited by 6,126
Upper and Lower Probabilities Induced by a Multivalued Mapping
Dempster, A. P. (2008) · Studies in Fuzziness and Soft Computing · doi:10.1007/978-3-540-44792-4_3 · Cited by 5,296
Choquet, G. (1954) · Annales de l'Institut Fourier · doi:10.5802/aif.53 · Cited by 4,204
Metamathematics of Fuzzy Logic
Hájek, P. (1998) · Trends in Logic · doi:10.1007/978-94-011-5300-3 · Cited by 3,987
Cited by
Liu, P. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2248736 · Cited by 403
Some Picture Fuzzy Aggregation Operators and Their Applications to Multicriteria Decision-Making
Garg, H. (2017) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-017-2625-9 · Cited by 401
Metadata
- Authors
- Wang, W., & Liu, X.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2012-10
- Volume
- 20
- Issue
- 5
- Pages
- 923-938
- ISSN
- 1063-6706 (ISSN-L)
- 1941-0034
- OpenAlex
- W2008103229
- Cited by
- 416
- References
- 61
- FWCI
- 19.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Intuitionistic Fuzzy Information Aggregation Using Einstein Operations. https://app.cochat.ai/papers/10.1109/tfuzz.2012.2189405
- The paper
- Wang, W., & Liu, X. (2012). Intuitionistic Fuzzy Information Aggregation Using Einstein Operations. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/tfuzz.2012.2189405
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.