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Applied Ergonomics, 2021
The Ovako Working posture Assessment System (OWAS) is a commonly used observational assessment method for determining the risk of work-related musculoskeletal disorders. OWAS claims to be suitable in the application for untrained persons but there is not enough evidence for this assumption.
Christian, Lins +2 more
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The Ovako Working posture Assessment System (OWAS) is a commonly used observational assessment method for determining the risk of work-related musculoskeletal disorders. OWAS claims to be suitable in the application for untrained persons but there is not enough evidence for this assumption.
Christian, Lins +2 more
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Fuzzy Sets and Systems, 1996
Abstract The ordered weighted averaging operators are introduced and some of their properties described. Attention is then focused on the problem of maximizing an OWA aggregation of a group of variables that are interrelated and constrained by a collection of linear inequalities.
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Abstract The ordered weighted averaging operators are introduced and some of their properties described. Attention is then focused on the problem of maximizing an OWA aggregation of a group of variables that are interrelated and constrained by a collection of linear inequalities.
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Soft Computing - A Fusion of Foundations, Methodologies and Applications, 1999
The basic properties of the Ordered Weighted Averaging (OWA) operator are recalled. The role of these operators in the formulation of multi-criteria decision functions, using the concept of quantifier guided aggregation, is discussed. An extended class of OWA operators, one based upon a relaxation of the requirements on the OWA operators, is introduced.
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The basic properties of the Ordered Weighted Averaging (OWA) operator are recalled. The role of these operators in the formulation of multi-criteria decision functions, using the concept of quantifier guided aggregation, is discussed. An extended class of OWA operators, one based upon a relaxation of the requirements on the OWA operators, is introduced.
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OWA operators with functional weights
Fuzzy Sets and Systems, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jesús Medina 0001, Ronald R. Yager
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Sensitivity Analysis of the OWA Operator
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008The successful design and application of the ordered weighted averaging (OWA) method as a decision-making tool depend on the efficient computation of its order weights. The most popular methods for determining the order weights are the fuzzy linguistic quantifiers approach and the minimal variability method, which give different behavior patterns for ...
Mahdi Zarghami +2 more
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Soft Computing, 2006
We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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We introduce the idea of centered OWA operators. We define these as OWA operators that give preference to argument values that lie in the middle between the largest and the smallest. An important class of these using Gaussian type weights is investigated in considerable detail. We describe a number of different examples of centered OWA operators.
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RECURSIVE AND ITERATIVE OWA OPERATORS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2005An important issue when using the OWA aggregation operators is the determination of weights. One approach is to link the weights to a desired attitudinal character for the aggregation. The ME-OWA operators provide a pioneering example of this approach.
Luigi Troiano, Ronald R. Yager
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Fuzzy Optimization and Decision Making, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The equivalence of maximum entropy OWA operator and geometric OWA operator
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004In this paper, some properties of geometric OWA operator are investigated. The equivalence of the geometric OWA operator and the Maximum Entropy OWA operator is proved.
null Xin-Wang Liu, null Liang-Hua Chen
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On continuous generalized OWA operators
2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011Recently, Zhou and Chen [Continuous generalized OWA operator and its application to decision making, Fuzzy Sets and Systems 168 (2011) 18–34.] introduced a class of operators called the continuous generalized ordered weighted averaging (C-GOWA) operators.
Yao Ouyang, Zhenjiang Zhao
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