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Thus, the estimated nonadditive set functions can capture the interaction among attributes and therefore can be used to model their relative importance.
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Nevertheless, the amount of applications testing for interactions among attributes in environmental valuation is very limited.
Although several multivariate discretization algorithms overcome the drawback of univariate discretization methods by considering interactions among attributes, there are some weaknesses.
While the three methodologies provide ease of decision-making independently in terms of handling vagueness of judgment, analyzing structures and interactions among attributes, and dealing with the dependence and feedback among attributes, respectively, when applied together as in a hybrid manner, this provides a more comprehensive representation of the decision problem.
The nonadditive set functions (labeled μ) describe such interactions among attributes and model their relative importance.
A fractional factorial design using the D-efficiency criteria was used to estimate interactions among attributes.
The ANP, a general version of the AHP [ 50], could further explicitly address the interactions among attributes and sub-attributes in the complex provider selection problem [ 51- 53].
For example, linear additive scoring models do not include effects of preference interactions among attributes or domains but multiplicative scoring functions include these effects.
The fact that univariate methods discretize only a single attribute at a time and do not consider interactions among attribute, may lead to important information loss [3] and not getting a global optimal result [22].
Mutual information does not consider the interaction among predictive attributes.
The MiMi plugin retrieves molecular interactions and interaction attributes from MiMI and displays the interaction networks and attributes using Cytoscape [28].
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