基于AHP和TOPSIS法的采场结构参数优化研究

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为获得最优的采场结构参数,提出了一种基于层次分析法( AHP) 和逼近理想解的排序法( TOPSIS) 的综合评判方法。从经 济、技术、安全三大类因素综合考虑影响采场结构参数的评判指标,运用层次分析法确定各评判指标的权重向量,并结合逼近理想 解的排序法基本原理构建AHP-TOPSIS 综合评判指标体系模型,计算出各采场结构参数方案基于评判指标的综合优越度。以康家 湾矿的采场结构参数选择为例,对采场结构参数进行了正交组合,建立了9 种备选方案,利用AHP-TOPSIS 评判模型对5 种稳定可 行的方案进行了评判,最终得出各方案的综合优越度,从而确定方案5 最优,即间柱宽度4 m,矿房跨度20 m,顶板厚度4 m。
AHP TOPSIs d H3 0≤E.≤1 7 X X E A275.4287.4715.811100-0.590.63.380.50.59 A380.2175.6220.156001.300.43.190.3-0.39 E;=0 A456.7292.8612.8520002.460.84.872.03.63 A575.4285.1916.051100-0.570.23.340.30.09 A680.2175.5020.056001.140.43.170.3-0.21 A,51.7291.6711.8520002.000.64.731.51.91 A875.4280.8517.751100-0.020.23.340.5-0.02 A80.2178.3518.956001.340.03.161.51.88 FEWxE 8 3.2 E W 5 G-H G-H H H H 1/4 0.167 4 4 0.666 G-H A 3 Rn=0.58Cm=0<0.1 G-H H X,% X1m/kt、 Y t/d W=0.1670.1670.666 4 X。MP X cI 0Rn=0Cm1=0<0.1 M 0.40.20.4 Rn2=0.58Cm=0<0.1 H3-Hy=0.0750.350.150.350.075 λm3=5.005CA=0.0013R=1.12Cn=0.001<0.1 17 W 3 0.167 0.167 0.666 /m 0.16 0.400 0.033 4 0.400 0.007 0.075 0.0≤0 0.350 3 30 0.233 3 10 19 0.075 0.0≤0 C1994-2014ChinaAcademicJOurnalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 3.3 23568 A=A2A3A、A6 0.l27 Et=0.688 A=75.4280.2175.4280.2175.427 E3=0.822 C=75.4280.2175.4280.2175.42 F34 5 E:5=0.500 c+=0.167 W=0.1670.1670.666 d1=0.000 E= 0.0070.8770.0080.655 d1=0.167 0.1270.6880.8220.6920.5 d2=0.167 F=WxE=0.4190.4600.8610.4620.609 d3=0.000 41.9% 346% 586.1% 646.2% d3=0.167 860.9%5 d+=0.167 6 3> d4=0.000 d5=0.000 20m d5=0.167 E1,=0 AHP E AHP 3.3.2 AHP-TOPSIS E,=1.000 AHP TOPSIS AHP TOPSIS E+,=0.007 E23=0.877 E 0.008 E=0.655 C1994-2014ChinaAcademicJOurnalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net AHP TOPSIs 01030312 2004713-15 11 Wang W Y Leu Y G Lea IT. Robust adaptive fuzzy-neural control FLAC D of nonlinear dynamical systems using generalized projection update 2010126-8 law and variable structure controller J. IEEE Trans Syst Man PFC Cybern Part B Cybernetics 2001 30 1 140-147 20082813-5 AlIPFUZZY 2013222-26 205-208. 201311-4 2005 AHF TOPSIS 201241-4 201018628-31 6 Liu W J Li Y M. Optimal Adaptive fuzzy conlrol for a class ofnunlin- car systems C /International Conference on Machine Learning and 2006 yberneties. Xi'an 2003 IRMR 7 Li L Li Y M. The design and stability analysis of adaptive system 2007385987 based on linear T-S fuzzy system J. Acta Automatica Sinica 2003 961024-1026. FAHP AHP-TOPSIS 2010392163-168 2013 31131-1137 2014 CSCD《 RCCSE CNK 17 》 16K120 CN43-1104/TD ISSN0253-6099 10 966《 410012 073188657070/88657176/88657173 073188657186 1901013009014450276 E-mailkuangyegongchengzz@163.com 着必着么翻翻鞋浓翻着着鞋翻翻灌么翻心∥着耻翻着着效《微租着覆截截翻着成翻翻粗着翻着翻么公 C1994-2014ChinaAcademicJOurnalElectronicPublishingHouse.Allrightsreservedhttp://www.cnki.net

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