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Canonical form of ordered weighted averaging operators
Annals of Operations Research, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jin, Lesheng +3 more
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Additive Weighted Ordered Weighted Average
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society, 2007This paper presents a simplified version of Tora's Weighted Ordered Weighted Average based on restricting the Ordered Weighted Average component to a Soft Hurwicz Rule. It provides an easily understood, easily implemented tool that respects both the relative inherent importance of criteria and the degree to which tradeoffs among them are appropriate.
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Variances with Bonferroni means and ordered weighted averages
International Journal of Intelligent Systems, 2019The variance is a statistical measure frequently used for analysis of dispersion in the data. This paper presents new types of variances that use Bonferroni means and ordered weighted averages in the aggregation process of the variance. The main advantage of this approach is that we can underestimate or overestimate the variance according to the ...
Fabio Blanco-Mesa +3 more
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A note on weights vector of ordered weighted averaging aggregation
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015This note has two purposes. One is to give a new weight vector W(n)=(w1(n),w2(n),…,wn(n))T for ordered weighted averaging aggregation. This weight vector possesses a peculiar feature: for each i, the weight wi tends to 0 whenever n tends to ∞, but orness(W) tends to 1.
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An Ordered Weighted Average with a Truncation Weight on Intervals
2012This paper deals with ordered weighted averages on a closed interval, and their fundamental properties are investigated. In this paper we focus on ordered weighted average with a truncation weight, and the sub-additivity of a top-concentrated average is derived. Several examples are given to understand the idea.
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The ordered weighted average corporate social responsibility
Kybernetes, 2019PurposeThe purpose of this paper is to identify new formulations for evaluating corporate social responsibility using different aggregation information operators.Design/methodology/approachThe ordered weighted average (OWA) operator and its extensions, the induced OWA (IOWA) and prioritized OWA (POWA) operators are used to generate a new score for a ...
Marlenne G. Velazquez-Cazares +3 more
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The Unbalanced Linguistic Ordered Weighted Averaging operator
International Conference on Fuzzy Systems, 2010Aggregation operators for linguistic variables usually assume a uniform and symmetrical distribution of the linguistic terms that define the variable. A well-known aggregation operator is the Linguistic Ordered Weighted Average (LOWA), which has been extensively applied.
David Isern +3 more
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Ordered Novel Weighted Averages
2018The novel weighted averages (NWAs) are extensions of the linear arithmetic weighted average and are powerful tools in aggregating diverse inputs including numbers, intervals, type-1 fuzzy sets (T1 FSs), words modeled by interval type-2 fuzzy sets, or a mixture of them.
Dongrui Wu, Jian Huang
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A Generalization of the Variance by Using the Ordered Weighted Average
2013The ordered weighted average is an aggregation operator that provides a parameterized family of aggregation operators between the minimum and the maximum. This paper analyzes the use of the ordered weighted average in the variance. It presents several extensions by using a unified framework between the weighted average and the ordered weighted average.
José M. Merigó +2 more
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Density-induced ordered weighted averaging operators
International Journal of Intelligent Systems, 2011We provide a special type of induced ordered weighted averaging (OWA) operator called density-induced OWA (DIOWA) operator, which takes the density around the arguments as the inducing variables to reorder the arguments. The density around the argument, which can measure the degree of similarity between the argument and its nearest neighbors, is ...
Feng-Mei Ma, Ya-Jun Guo
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