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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Intuitionistic Fuzzy Aggregation Operators
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Self-citationSome geometric aggregation operators based on intuitionistic fuzzy sets
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Self-citationHesitant fuzzy information aggregation in decision making
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Self-citationStudies in Fuzziness and Soft Computing
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Self-citation
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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