The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Dynamic intuitionistic fuzzy multi-attribute decision making
Open accessAbstract
The dynamic multi-attribute decision making problems with intuitionistic fuzzy information are investigated. The notions of intuitionistic fuzzy variable and uncertain intuitionistic fuzzy variable are defined, and two new aggregation operators: dynamic intuitionistic fuzzy weighted averaging (DIFWA) operator and uncertain dynamic intuitionistic fuzzy weighted averaging (UDIFWA) operator are presented. Some methods, including the basic unit-interval monotonic (BUM) function based method, normal distribution based method, exponential distribution based method and average age method, are introduced to determine the weight vectors associated with these operators. A procedure based on the DIFWA operator is developed to solve the dynamic intuitionistic fuzzy multi-attribute decision making (DIF-MADM) problems where all the decision information about attribute values takes the form of intuitionistic fuzzy numbers collected at different periods, and a procedure based on the UDIFWA operator is developed for DIF-MADM under interval uncertainty in which all the decision information about attribute values takes the form of interval-valued intuitionistic fuzzy numbers collected at different periods. Finally, a practical case is used to illustrate the developed procedures.
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
Interval valued intuitionistic fuzzy sets
Atanassov, K., & Gargov, G. (1989) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(89)90205-4 · Cited by 2,916
Some geometric aggregation operators based on intuitionistic fuzzy sets
Xu, Z., & Yager, R. R. (2006) · International Journal of General Systems · doi:10.1080/03081070600574353 · Cited by 2,356
Self-citationInterval-Valued Intuitionistic Fuzzy Sets
Atanassov, K. T. (2020) · Studies in Fuzziness and Soft Computing · doi:10.1007/978-3-030-32090-4 · Cited by 1,822
Gau, W.-L., & Buehrer, D. J. (1993) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.229476 · Cited by 1,644
Distances between intuitionistic fuzzy sets
Szmidt, E., & Kacprzyk, J. (2000) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(98)00244-9 · Cited by 1,627
Intuitionistic Fuzzy Sets: Theory and Applications
Atanassov, K. T. (1999) · Cited by 1,372
Handling multicriteria fuzzy decision-making problems based on vague set theory
Chen, S.-M., & Tan, J.-M. (1994) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(94)90084-1 · Cited by 1,187
Metadata
- Authors
- Xu, Z., & Yager, R. R.
- Venue
- International Journal of Approximate Reasoning
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 48
- Issue
- 1
- Pages
- 246-262
- ISSN
- 0888-613X (ISSN-L)
- OpenAlex
- W2165024836
- Cited by
- 594
- References
- 20
- FWCI
- 20.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Dynamic intuitionistic fuzzy multi-attribute decision making. https://app.cochat.ai/papers/10.1016/j.ijar.2007.08.008
- The paper
- Xu, Z., & Yager, R. R. (2008). Dynamic intuitionistic fuzzy multi-attribute decision making. International Journal of Approximate Reasoning. https://doi.org/10.1016/j.ijar.2007.08.008
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.