Adopts the triangle membership function , minimum inference method and weighted average method to simplify the fuzzy inference process 采用三角型隸屬度函數(shù)、最小值推理法和加權(quán)平均法簡化了模糊推理過程。
In the last chapter , two groups of comment matrix are handled by fuzzy comprehensive evaluation and weighted average method , and get two sets of conclusion , both coincident with each other 比較兩種方法,模糊綜合評價法與加權(quán)平均法所得結(jié)論一致,模糊綜合評價法的評價結(jié)果與加權(quán)平均法得出的可信度結(jié)論一致。
Based on the weighted average method adopted in the first part , and by using numerical simulation and monte carlo simulation , we further present a study of the dynamics of id and q states potts model under an oscillating external field 基于第一部分采用的加權(quán)平均法,結(jié)合數(shù)值模擬和montecarlo模擬,我們進一步給出了一維q態(tài)的potts系統(tǒng)在諧振子外場中的單自旋躍遷動力學(xué)研究。
In the wavelet fusion processing , the fused approximate coefficients are obtained with weighted average method . for the bigger average gradient of the each decomposed approximate coefficient , we choose a big power gene . the other approximate coefficient chooses a small one 在小波圖像融合的過程中,融合的近似分量通過加權(quán)平均的方法來獲得,即對于平均梯度較大的原始圖像近似分量,我們選擇較大的權(quán)重,反之則選擇較小的權(quán)重。