机电设备
機電設備
궤전설비
MECHANICAL AND ELECTRICAL EQUIPMENT
2013年
4期
92-95
,共4页
供电服务品质评价%区间数判断矩阵%极值点法
供電服務品質評價%區間數判斷矩陣%極值點法
공전복무품질평개%구간수판단구진%겁치점법
power supply service quality assessment%interval number comparison matrix%method of extreme point
为了得到具有全局最优的区间权重,避免客户端数据缺失和常规层次分析(AHP)算法中一致性检验的数据流失,通过分析得出了供电服务质量评价体系和对专家咨询的数据,引入区间数判断矩阵取代传统单一实数矩阵来定量描述某一准则下的权重。通过对区间数判断矩阵的拟优化处理,改进了AHP过程,并引入极值点方法求解出拟优化一致矩阵的区间权重。将改进的 AHP 算法运用于供电服务品质评价体系,对供电服务品质评价的优先区间权重进行了计算。与传统 AHP 算法的结果对比,改进算法的结果中包含了样本全部信息,具有全局最优性,能更准确地表达多样本决策,避免了复杂的一致性检验环节。
為瞭得到具有全跼最優的區間權重,避免客戶耑數據缺失和常規層次分析(AHP)算法中一緻性檢驗的數據流失,通過分析得齣瞭供電服務質量評價體繫和對專傢咨詢的數據,引入區間數判斷矩陣取代傳統單一實數矩陣來定量描述某一準則下的權重。通過對區間數判斷矩陣的擬優化處理,改進瞭AHP過程,併引入極值點方法求解齣擬優化一緻矩陣的區間權重。將改進的 AHP 算法運用于供電服務品質評價體繫,對供電服務品質評價的優先區間權重進行瞭計算。與傳統 AHP 算法的結果對比,改進算法的結果中包含瞭樣本全部信息,具有全跼最優性,能更準確地錶達多樣本決策,避免瞭複雜的一緻性檢驗環節。
위료득도구유전국최우적구간권중,피면객호단수거결실화상규층차분석(AHP)산법중일치성검험적수거류실,통과분석득출료공전복무질량평개체계화대전가자순적수거,인입구간수판단구진취대전통단일실수구진래정량묘술모일준칙하적권중。통과대구간수판단구진적의우화처리,개진료AHP과정,병인입겁치점방법구해출의우화일치구진적구간권중。장개진적 AHP 산법운용우공전복무품질평개체계,대공전복무품질평개적우선구간권중진행료계산。여전통 AHP 산법적결과대비,개진산법적결과중포함료양본전부신식,구유전국최우성,능경준학지표체다양본결책,피면료복잡적일치성검험배절。
In order to get the interval weight with global optimization and to avoid the deficiency of client data and the loss of the data, which comes from the consistency check of the conventional analytical hierarchy process (AHP) algorithm, evaluation system of the power supply service quality and consultation data to the expert are gotten through analysis. Leading into the interval number judgment matrix replaces the traditional single real matrix to describe the weight under criteria. Through the optimization processing of interval numbers judging matrix, the process of AHP is improved. And leading into an extreme point method, the interval weight of the imitated optimal consistent matrix is solved. The improved AHP method is applied to power supply service quality evaluation system, and the interval weight of the power supply service quality assessment is calculated. Compared to the results of conventional AHP method, the results of the improved algorithm contain all information of the sample. It possesses global optimality and can express more accurately decision-making of multi-samples to avoid the check link of complicated consistency.