Results 221 to 230 of about 154,350 (268)
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The Weight Balance Function on Trees
Discrete Applied Mathematics, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fred R. McMorris +2 more
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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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The Probability Weighting Function
Econometrica, 1998Summary: A probability weighting function \(w(p)\) is a prominent feature of several non-expected utility theories, including prospect theory and rank-dependent models. Empirical estimates indicate that \(w(p)\) is regressive (first \(w(p)>p\), then \(w(p)
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Normal functional and spaces of weights
International Journal of Theoretical Physics, 1991Let \(A=(X,O)\) be a hypergraph, where \(X\) is a non-empty set and \(O\) is a covering of \(X\) by nonempty subsets of \(X\). By a result of T. A. Cook, the space \(J(A)\) of Jordan weights on \(A\) is an ordered Banach space under the base-norm induced by the base consisting of the probability weights on \(A\).
Hagler, J., Schindler, C.
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Acta Crystallographica Section D Biological Crystallography, 1997
A simple probability expression is derived to discriminate the intermolecular vectors in the cross rotation function. The radial weighting function introduced takes into account both particle anisometry and crystal packing and can be incorporated into existing molecular replacement packages.
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A simple probability expression is derived to discriminate the intermolecular vectors in the cross rotation function. The radial weighting function introduced takes into account both particle anisometry and crystal packing and can be incorporated into existing molecular replacement packages.
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On the Shape of the Probability Weighting Function
Cognitive Psychology, 1999Empirical studies have shown that decision makers do not usually treat probabilities linearly. Instead, people tend to overweight small probabilities and underweight large probabilities. One way to model such distortions in decision making under risk is through a probability weighting function.
R, Gonzalez, G, Wu
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Pattern Recognition, 1988
Abstract The use of chord functions in shape recognition has been investigated by many authors, with most attention on the angle chord function as the metric chord function has weak discriminatory power. We introduce weighted chord functions which incorporate the metric information into the angle function.
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Abstract The use of chord functions in shape recognition has been investigated by many authors, with most attention on the angle chord function as the metric chord function has weak discriminatory power. We introduce weighted chord functions which incorporate the metric information into the angle function.
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The weight function for cracks in piezoelectrics
International Journal of Solids and Structures, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
McMeeking, Robert, Ricoeur, Andreas
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Weighted Realizations of Switching Functions
IEEE Transactions on Computers, 1975Any switching function has weighted representations, i.e., symmetric representations for which some of the arguments are repeated. We call a logic network based on such a representation a weighted realization. It is shown that a weighted realization may be implemented using a full-adder network (called a moment generator) whose outputs are fed to a ...
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