000003501 001__ 3501
000003501 005__ 20141118153357.0
000003501 04107 $$acze
000003501 046__ $$k2006-05-15
000003501 100__ $$aKruis, J.
000003501 24500 $$aParallelization of fuzzy problems

000003501 24630 $$n12.$$pENGINEERING MECHANICS 2006
000003501 260__ $$bInstitute of Theoretical and Applied Mechanics, AS CR, v.v.i., Prague
000003501 506__ $$arestricted
000003501 520__ $$2eng$$aThe theory of fuzzy sets becomes still more popular in engineering problems where introduction of uncertainty is necessary or desirable. The theory of probability, which was exclusively used until recently, is sometimes awkward and there are difficulties in cases with lack of sufficient information which is needed for proper definition of probability distribution. In such cases, the theory of fuzzy sets is useful tool which describes uncertainty in input data by fuzzy numbers. A problem with fuzzy input data leads to fuzzy output data and whole computation should be rearranged with respect to fuzzy numbers. A popular and efficient method for solution of fuzzy problems is the method of -cuts which may be very computationally demanding. Simple parallelization of a computer code leads to ideal speedup and enables solution of relatively large problems.

000003501 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000003501 653__ $$a

000003501 7112_ $$aENGINEERING MECHANICS 2006$$cSvratka (CZ)$$d2006-05-15 / 2006-05-18$$gEM2006
000003501 720__ $$aKruis, J.$$iŠtemberk, P.
000003501 8560_ $$ffischerc@itam.cas.cz
000003501 8564_ $$s283256$$uhttps://invenio.itam.cas.cz/record/3501/files/Kruis-235-PT.pdf$$y
             Original version of the author's contribution as presented on CD, , paper No. 235.
            
000003501 962__ $$r3410
000003501 980__ $$aPAPER