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On ordered weighted averaging aggregation operators in multicriteria decision-making
Ronald R. Yager
- Vol. 18, pp 183-190
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The article was published on 1988-01-01 and is currently open access. It has received 3030 citations till now. The article focuses on the topics: Ordered weighted averaging aggregation operator.read more
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Combining numerical and linguistic information in group decision making
TL;DR: A fusion operator for numerical and linguistic information that combines linguistic values with numerical values and is used to develop a choice process for the alternatives, allowing solutions to be obtained in line with the majority of the experts' opinions.
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A rational consensus model in group decision making using linguistic assessments
TL;DR: A new consensus model for the consensus reaching process, in a linguistic framework, is presented in heterogeneous group decision making problems, called rational consensus model, which allows more rational consensus solutions to be obtained and thus, more human consistency to be incorporated in decision support systems.
Journal ArticleDOI
Towards general measures of comparison of objects
TL;DR: The difference between measures of satisfiability, resemblance, inclusion and dissimilarity is established and is based on concepts analogous to those developed by A. Tversky for his general work on similarities.
Journal ArticleDOI
Some Hamacher Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers and Their Application to Group Decision Making
TL;DR: With respect to multiple attribute group decision-making problems in which attribute values take the form of the interval-valued intuitionistic fuzzy numbers, the group decisions-making methods based on some Hamacher aggregation operators, which extended the algebraic aggregation operators and Einstein aggregation operators are developed.
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Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations
TL;DR: This paper presents some IOWA operators to aggregate fuzzy preference relations in group decision-making (GDM) problems, and provides a procedure to deal with ‘ties’ in respect to the ordering induced by the application of one of these operators.