By Da Duan, Paolo F Fantoni, Martine De Cock, Mike Nachtegael, Etienne E Kerre
FLINS, initially an acronym for Fuzzy good judgment and clever applied sciences in Nuclear technological know-how, is now prolonged to utilized man made Intelligence for utilized learn. The contributions to the 7th within the sequence of FLINS meetings contained during this quantity conceal cutting-edge learn and improvement in utilized synthetic intelligence for utilized examine ordinarily and for power/nuclear engineering particularly.
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Additional resources for Applied artificial intelligence: proceedings of the 7th International FLINS Conference, Genova, Italy, 29-31 August 2006
P+(x)&Q+(x)) To ask the tool for the value of the expression, we need to give the universe of discourse as the list of elements A, B, C. 9),('M','Q',22), C A ' , , P , , 1 . 6 5 ) , ( , A ' , ' Q ' , 3 5 ) ]  [ ( ' + ' , s q r ) ] The logic used to evaluate this expression is the Zadeh's one and for the universal quantification we can use the aggregation of the conjunction of every instance of the formula, substituting the variable with a universal symbol (see table below with the values for expressions in this example).
In this case, considered specification is temporal logic, which reflects the idea of system evolution in time. But systems nowadays are even more complex, since they evolve in space too. Hence, spatial-temporal logics are introduced in order to specify programs. Still, specification requisites may be inexact, not fitting standard crisp formalism. For this reason we have introduced a fuzzy logic approach for the specification of program properties 9 . But such a fuzzy logic approach requires a certain level of certainty of a given formula, to be chosen from different interpretations.
6 5 ) , ( , A ' , ' Q ' , 3 5 ) ]  [ ( ' + ' , s q r ) ] The logic used to evaluate this expression is the Zadeh's one and for the universal quantification we can use the aggregation of the conjunction of every instance of the formula, substituting the variable with a universal symbol (see table below with the values for expressions in this example). 18 0 Although results are no dramatically different, it is easy to understand that a fuzzy logic selection and properties settings reach different output values and those values can be used by the expert to make strong decisions.
Applied artificial intelligence: proceedings of the 7th International FLINS Conference, Genova, Italy, 29-31 August 2006 by Da Duan, Paolo F Fantoni, Martine De Cock, Mike Nachtegael, Etienne E Kerre