The fuzzy membership function is calculated by the quantum mean value (Born rule) of the logical projection operators and is associated to a quantum probability. The methodology of this paper is based on quantum measurement theory.FindingsFuzziness arises naturally when considering systems described by...
As stated above, if the capacitor C couples to the maximally fuzzy charge (reaching linearly into the wire, see Fig. 3c), then ES is simply a constant, and the Legendre transformation can be performed without any problems. We here however want to make predictions which are valid also for ...
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By formalizing the prototype theory using the fuzzy logic, each membership degree can have a real value in the range of zero and one. The more an entity can be regarded as a representative of a category the higher its membership value. But, it is shown in Shafffi et al. (1990), that...
Before closing this subsection, it is instructive to note that, although using the language of the kinetic theory, kinetic effects have not been considered so far, since the equilibrium distributionf_0(p)has been identified with a Dirac delta (20). This limit can be studied in a more straig...
fuzzy sphere in Sect.6and theq-sphere in Sect.7. By fuzzy sphere, we mean the standard quantisation of a coadjoint orbit inas a quotient ofby a fixed value of the quadratic Casimir, equipped now with the 3-dimensional but rotationally invariant differential calculus [2, Example 1.46] and ...
Whenever we try to fit a photon through a slot, we are trying to pin down the location as it goes through the slot. The narrower we make the slot the closer we are trying to pin it down. Nature resists by causing havoc with our measurements – fuzzy behavior/weird effects. ...
The central component of QuiddiKey is a fuzzy commitment scheme9 that protects a root key with an SRAM PUF response and produces public helper data. It is information-theoretically proven that the helper data discloses zero information on the root key, so the fact that the helper data is ...
For the detuned cases it remains at low values as expected, yielding fuzzy records. In the edge cases it oscillates very often while increasing in a milder fashion. In the latter case we will have decent redundancy but with non-monotonic behaviour: records are formed and destroyed in a ...