The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
An overview of methods for determining OWA weights
Abstract
The ordered weighted aggregation (OWA) operator has received more and more attention since its appearance. One key point in the OWA operator is to determine its associated weights. In this article, I first briefly review existing main methods for determining the weights associated with the OWA operator, and then, motivated by the idea of normal distribution, I develop a novel practical method for obtaining the OWA weights, which is distinctly different from the existing ones. The method can relieve the influence of unfair arguments on the decision results by weighting these arguments with small values. Some of its desirable properties have also been investigated. © 2005 Wiley Periodicals, Inc. Int J Int Syst 20: 843–865, 2005.
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Cites
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
A computational approach to fuzzy quantifiers in natural languages
Zadeh, L. A. (1983) · Computers & Mathematics with Applications · doi:10.1016/0898-1221(83)90013-5 · Cited by 1,828
Linguistic decision analysis: steps for solving decision problems under linguistic information
Herrera, F., & Herrera-Viedma, E. (2000) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(99)00024-x · Cited by 1,562
Yager, R. R. (1993) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(93)90194-m · Cited by 1,243
Quantifier guided aggregation using OWA operators
Yager, R. R. (1998) · International Journal of Intelligent Systems · doi:10.1002/(sici)1098-111x(199601)11:1<49::aid-int3>3.0.co;2-z · Cited by 1,125
Induced ordered weighted averaging operators
Yager, R. R., & Filev, D. P. (1999) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) · doi:10.1109/3477.752789 · Cited by 1,008
Smoothing, Forecasting and Prediction of Discrete Time Series.
Parzen, E., & Brown, R. G. (1964) · Journal of the American Statistical Association · doi:10.2307/2283122 · Cited by 968
XU, Z. (2004) · Information Sciences · doi:10.1016/j.ins.2003.10.006 · Cited by 966
Self-citationA fusion approach for managing multi-granularity linguistic term sets in decision making
Herrera, F., Herrera-Viedma, E., & Martı́nez, L. (2000) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(98)00093-1 · Cited by 795
Cited by
Intuitionistic Fuzzy Aggregation Operators
Xu, Z. (2007) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2006.890678 · Cited by 2,678
Self-citationSome 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-citationDynamic intuitionistic fuzzy multi-attribute decision making
Xu, Z., & Yager, R. R. (2008) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2007.08.008 · Cited by 594
Self-citationA new approach to q-linear Diophantine fuzzy emergency decision support system for COVID19
Almagrabi, A. O., Abdullah, S., Shams, M., Al-Otaibi, Y. D., & Ashraf, S. (2022) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03130-y · Cited by 114
Metadata
- Authors
- Xu, Z.
- Venue
- International Journal of Intelligent Systems
- Publisher
- Hindawi Limited
- Published
- 2005
- Volume
- 20
- Issue
- 8
- Pages
- 843-865
- ISSN
- 0884-8173 (ISSN-L)
- 1098-111X
- OpenAlex
- W2087991154
- Cited by
- 786
- References
- 23
- FWCI
- 34.53
- Type
- journal article
- Language
- en
- Open access
- closed
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