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Further, the existing ontology-based approaches cannot extract optimal membership value of risk factors; thus, it provides poor results.
Following this concept, a specially designed fuzzy membership weighted objective function is proposed and the corresponding optimal membership is derived.
We characterize the optimal spatial pattern of environmental policy levels under collective waste disposal and identify optimal membership size for waste disposal networks comprised of homogeneous producers.
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Concerning local membership functions, the recent parameter-based approaches are described, in which the optimal membership-function is selected for each zone of the zoning method.
We suggest to represent multi-dimensional medical data by means of an optimal fuzzy membership function.
To determine the optimal successor membership between the numbers of jobs, by Proposition 5, we assume v = 1.
In the following sections, we determine exactly the number of integers in C k, i and the optimal successor membership between the integers.
Using the optimal successor membership between integers presented by the diagram, we give the specific expression of the optimal solution for the any-number-jobs batching problem with S = v p + r.
Then, the novel "Grand-Parenting" technique is employed to incorporate the non-optimal fuzzy logic controllers in micro-GA (μ-GA) to search for optimal fuzzy membership functions and rules simultaneously.
The proposition below shows that the optimal successor membership between numbers of jobs is exactly determined by the coefficients of ε in the expression of the first-order difference.
Using the optimal successor membership between the integers presented by the diagram, we give the specific expression of the optimal solution for an any-number-jobs batching problem with S = v p, and show that the result proposed by Santos [6] and Santos and Magazine [7] is a special case of our result.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com