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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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Geometric Bonferroni means with their application in multi-criteria decision making
Meimei Xia,Zeshui Xu,Bin Zhu +2 more
TL;DR: The Bonferroni geometric mean is introduced, which is a generalization of the Bonferronsi mean and geometric mean and can reflect the correlations of the aggregated arguments and be applied to multi-criteria decision making.
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Computing improved optimal solutions to max–min flexible constraint satisfaction problems
Didier Dubois,Philippe Fortemps +1 more
TL;DR: This paper surveys refinements of the ordering of solutions supplied by the max–min formulation, namely the discrimin partial ordering and the leximin complete preordering and gives a general algorithm which computes all maximal solutions in the sense of these relations.
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Exploring multicriteria decision strategies in GIS with linguistic quantifiers: A case study of residential quality evaluation
Jacek Malczewski,Claus Rinner +1 more
TL;DR: This work proposes to extend a previous implementation of OWA with linguistic quantifiers to simplify the definition of decision strategies and to facilitate an exploratory analysis of multiple criteria.
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Some generalized dependent aggregation operators with intuitionistic linguistic numbers and their application to group decision making
TL;DR: Based on the ILGDOWA and ILGDHWA operators, the approach to multiple attribute group decision making with intuitionistic linguistic information is proposed and an illustrative example is given to verify the developed approaches and to demonstrate their practicality and effectiveness.
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A Study of the Origin and Uses of the Ordered Weighted Geometric Operator in Multicriteria Decision Making
TL;DR: A study of the use of the OWG operator in multiplicative decision‐making models is shown by providing the conditions under which reciprocity and consistency properties are maintained in the aggregation of multiplicative preference relations performed in the selection process.