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aIt may be a matter for debate whether the solution rather should have been referred to as confidentiality-preserving.bThis is a rather fuzzy assumption, but it is clear that if there are only two parties communicating, an adversary can trivially determine that all data observed leaving one party will arrive at the second party.
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In [36], Kloeden and Lorenz removed the assumption of fuzzy convexity of FDEs and discussed the fuzzy delay differential equations (FDDEs) in this perspective.
This approach attempts to obtain the fuzzy rules without any assumption about the structure of the data.
Such conditions are derived by using Leibniz Newton formula and free weighting matrix method for fuzzy systems under the assumption that sampling time is not greater than some prescribed scalar.
Combining with the idea of Aubin [14, 15], this approach was exploited by Diamond in [10, 16]where the assumption of fuzzy convexity and the compactness of level sets are removed.
Assumption 6 is relevant for identifying best proximity points in-between adjacent subsets through f which are also 1-fuzzy best proximity points through T. Assume that (T: bigcup_{ i in bar{p}} X_{i} to F ( bigcup_{ i in bar{p}} X_{i} )) is a decomposable p-cyclic fuzzy mapping which satisfies Assumption 6 and that (x in X_{i}) for some given arbitrary (i in bar{p}), such that (X_{i}) is closed.
The constraint and preference correspondences, derived from the constraint and preference fuzzy mappings, verify the assumptions of measurable graph and weakly open lower sections.
In this context, the study of [10] presents a method where virtual sensors infer approximation values using fuzzy logic rules with the assumption that physical quantities sensed by neighbor sensors are related.
Assumptions of the fuzzy prioritization method.
You may not be surprised to learn that such a calculation involves more than a couple of dubious assumptions and some fuzzy math, and perhaps another agency (ahem, NASA?) might be better suited to checking this.
Mikhailov (2000, 2003) introduced three stages: 1) Statement of the problem 2) Assumptions of the fuzzy prioritization method 3) Solving the fuzzy prioritization problem that has survived as follows: .
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com