The first coefficients of canonical correlation of body weight traits with body measurement traits was significant (P.01), the canonical correlation coefficient was 0.828, respectively represented 92.11% of total correlation. The first coefficients of canonical correlation of body weight traits with age-corrected and backfat thickness-corrected of weighting at 100 kg were significant (P.01), the canonical correlation coefficient 0.851, respectively represented 97.80% of total correlation. The first and second canonical correlation coefficients of body measurement traits with age-corrected and backfat thickness-corrected of weighting at 100 kg were significant (P.05), the first canonical correlation coefficient was 0.607, respectively represented 78.52% of total correlation.

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The IIA property might not be satisfied in human decision-making of realistic complexity because the scalar preference ranking is effectively derived from the weighting—not usually explicit—of a vector of attributes (one book dealing with the Arrow theorem invites the reader to consider the related problem of creating a scalar measure for the track and field decathlon event—eg how does one make scoring 600 points in the discus event "commensurable" with scoring 600 points in the 1500 m race) and this scalar ranking can depend sensitively on the weighting of different attributes, with the tacit weighting itself affected by the context and contrast created by apparently "irrelevant" choices.

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The problem of multi-objective usually meet many conflict each other and can not use the objective of the same standard unit, then to employ membership function of fuzzy theory,at first each objective function to change fuzzy set and express with membership function, membership function include the maximum constraint, minimum constraint, the decrease function of monotonic property, to become optimal of the multi-objective function, but still to scanty of weighting value with regard to adjustment of objective function, thus this thesis proposes the method of combine orthogonal arrays and particle swarm optimization to solve the problem of multi-objective optimal power flow, each objective function separately add weighting value, to setting each weighting value of objective function in order to the result of anticipating.

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It is obtained that the zone width of starting cut is about the first weighting step, the zone width of face is changing between 23 times of period weighting step, the zone width near intake entry and return entry is about 0.70.8 times of the first weighting step, the height of trapezoidal surface is basically subject to the location of the key strata and the deformation, breaking and instability form of the voussoir beams structure.

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The method has extended the image unwarping capability of the existing methods for SVP omni-cameras to tolerate lens/mirror assembly imprecision, which is difficult to overcome in most real applications. A new method called "edge-preserving 8-directional two-layered weighting interpolation" is proposed for interpolating unfilled pixels in a perspective-view or panoramic image resulting from unwarping an omni-image taken by a non-SVP omni-camera.

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Based on fuzzy mathematics comprehensive evaluation, the toxicity of heavy metals was taken into account. The fuzzy comprehensive evaluation results by pollutant concentration exceeding standard weighting method, toxic response coefficient heck-stepping index weighting method and heavy metal toxicity sorting weighting method were compared with the potential ecological risk evaluation results. The research results showed that the evaluation results by toxic response coefficient back-stepping index weighting method could reflect the actual results more truly and accurately.

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Based on combination weighting analysis, fuse invalidation diagnosis technology consists of rule layer importance analysis technology, which includes establishing recurrent step layer, establishing contrast matrix, calculating weighting and checking consistency; security importance analysis technology, which includes establishing contrast matrix, calculating weighting and checking consistency; system combination vector analysis technology, which includes calculating system combination vector and checking system combination vector analysis technology.

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Based on combination weighting analysis, fuse invalidation diagnosis technology consists of rule layer importance analysis technology, which includes establishing recurrent step layer, establishing contrast matrix, calculating weighting and checking consistency; security importance analysis technology, which includes establishing contrast matrix, calculating weighting and checking consistency; system combination vector analysis technology, which includes calculating system combination vector and checking system combination vector analysis technology.

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Based on combination weighting analysis, fuse invalidation diagnosis technology consists of rule layer importance analysis technology, which includes establishing recurrent step layer, establishing contrast matrix, calculating weighting and checking consistency; security importance analysis technology, which includes establishing contrast matrix, calculating weighting and checking consistency; system combination vector analysis technology, which includes calculating system combination vector and checking system combination vector analysis technology.

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In this paper,we first summarize the traditional and well-studied methods of weighting,including local weighting and global weighting.

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