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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 technology, is now prolonged to utilized synthetic Intelligence for utilized examine. The contributions to the 7th within the sequence of FLINS meetings contained during this quantity hide state of the art examine and improvement in utilized man made intelligence for utilized examine as a rule and for power/nuclear engineering specifically.

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K E R R E Department of Applied Mathematics and Computer Science, Ghent University Fuzziness and Uncertainty Modelling Research Unit Krijgslaan 281 (S9), B-9000 Gent, Belgium. {Annelies. Kerre} @UGent. be Homepage: http ://www. fuzzy. UGent. be Buckley and Qu proposed a method to solve systems of linear fuzzy equations. Basically, in their method the solutions of all systems of linear crisp equations formed by the a-levels are calculated. We proposed a new method for solving systems of linear fuzzy equations based on a practical algorithm using parametric functions in which the variables are given by the fuzzy coefficients of the system.

It is the first hydrocarbon discovery to be developed in the Norwegian part of the Barents Sea. The production will be controlled from an on-shore control centre located on the island of Melkoya, close to the town of Hammerfest which is the world's northernmost city located on latitude 70 degrees north. Snehvit consists of 3 fields which will be operated jointly. There will neither be production platforms nor other facilities visible on the surface above Snehvit. Natural gas will be produced strictly from sub-sea wells and then transported to shore through a 160 km long pipeline.

Figure 3. Examples of application of the generalized positively (a-b) and the generalized-enough modifiers (c). 4. The Genetic Algorithm The problem of modeling the effects of a context on a normalized FRBS reduces to searching for an optimal configuration of the nine parameters used in the tuning operators. To find the optimal parameters, we adopt a genetic algorithm (GA). In the following, we briefly describe some specific features of the GA. Coding scheme. We use a real-coded chromosome consisting of all the parameters needed to configure the tuning operators for each linguistic variable.

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