8 5 205 CHINASCIENCEPAPER Vol.8No.5 May20 张 驰 周博闻 ( 长安大学教育部特殊地区公路工程重点实验室 西安 70064) U48.6+2 A 2095-278(20)05-040-05 Evaluatioofpotholesaiteacetechologyforasphaltpaveet basedoiprovedhierarchicalfuzzyethod ZhagChiZhouBowe (Key Laboratoryof Special Area Highway Egierigof Miistryof EducatioChag a UiversityXi a70064chia) AbstractNowadaysthereareaykidsofaiteacetechologiesathoeadabroadbutwhichtreatetispreferablei diferetcoditiosishardtodecide.thereforeitisparticularlyiportattoevaluatetheserepairtechologiesscietificalyad objectivelyitersofexpeselifetiebeefitadsoo.theexistigaiteacetechologyevaluatioethodsaresubjec- tivesigleadureasoabletosoeextetadtheresultsareproetobebiased.cobiigwithecooicsocialtecho- logicaladotherfactorsthispaperproposesaiprovedhierarchical-fuzzyevaluatiosysteforpotholesaiteacetecholo- gybasedoaalytichierarchyprocessitegratigfuzzyatheaticsadstatistics.resultsshowthatcoparedwithother ethodsthehierarchical-fuzzyevaluatioethodisreasoableiselectigtheoptiizedpotholetreatet. KeywordspotholesaiteacetechologyevaluatioAHPfuzzy-atheatics [] [2] [7] [] [8] [4] [5] [6] 202-2-2 (2020205200) (202JQ700) (IRT050) (98-) zhagchi@chd.edu.c
5 4 x 熿 x X = () x x 燀燅 x ij (2 j=2 ) j 7 i 2) j i [a k b k ](k k=2 ) j i x ij = (b 2 2 k -a 2 k)/ (b k -a k ) (2) k= k= x ij B B i ( ) x ij - i x{ ik } 5 r ij = 2 ax x{ [9-0] ik }- i x{ ik } j=2 () B i B ( ) ax x{ ik }-x ij r ij = 2 ax x{ ik }- i x{ ik } j=2 (4) r 熿 r R = (5) r r 燀燅 ) B B 2 B B B 2 B M r =- a rs r=2 (6) s= W i = 槡 M i (7) 2 W i = [W W 2 W ] T ( ) W i = W- (8) W - W =W [W W 2 W ] T B B 2 2. B [] ) C X C={C C 2 C } λax = (AW ) i /(W i ) (9)
42 8 CI= (λax -)/(-) (0) RI RI0.58 0.90 [2] CI RI CR CR<0. 2.2 Fig. Scheaticdiagraofestablishigevaluatiosyste WB j Table Assueodelcoditios WC ij C j W i = (WB i WC ij )2 () j= W = [W W 2 W W 4 W 5 ] 2. d j d j d j = W i (r ij -r j ) 2 20/ 8h 000/t [] 0c 0c [9] 25 0/ 5.2.2. d ' j = W i (r ij -r j ) 2 j=2 7 r j = ax { r k j } r j =-r j (2) C C 2 C 5 C 6 0 C j C j 2 [4-5] C j C j =d j /(d j +d j ) () ( ) ( ) ) = y t (t/ ). 2) = [ (y2/d)+ 2(y/d)] t/480(i) ) = ( N y4/ d ) t/480(i) y y2 y y4 d t N (B ) (B 2 ) 2 (B ) Table2 Valuesofquatitativeidicators (C ) (C 2 ) (C ) (C 4 ) (C 5 ) (C 6 ) (C 7 ) C/ C2/ C6/i A 4.5 22 8 A2 55 6 20 A 48.5 40 42 A4 4.8 8 7 A5 2. 4 6 C 2 () C C 5 C 6 (4)
5 4. Table Valuesofstadardizedquatitativeidicators 7 C C2 C6 8~0 6~ 9 A 0.897 0.5 0.944 A2 0.75 0. 0.6 A 0 0 7 A4 0.899 0. 0.972 Table7 Judgetatrixofcriterialayer A5 0.2.2 B 5 4 B2 / 2 0 5 B /5 /2 C C 4 C 5 C 7 8 (2) x ij Table8 Judgetsatrixofidicatorlayer C C 4 C 5 ( B C C2 C / C2 ) 9 2 C 7 Table9 Judgetsatrix2ofidicatorlayer 4 B2 C C4 C5 C /2 2 Table4 Quatitativeratigofidicators C4 2 4 C5 /2 /4 (80) (68) (46) (24) (02) 0 C Table0Judgetsatrixofidicatorlayer C4 C5 C7 Table5 5 Quatitativeresultsofthequatitativeidicators C C4 C5 A 6.0.0 4.5 8.5 C7 A B B2 B B C6 C7 C6 2 C7 /2 2.2 (0) A2.5 9.0.5 7.5 7W T A = [0.6480.2290.22] T λax = A.0 9.0 2.0 6.5.007CI=0.0085RI=0.58CR =0.002 < A4 8.5.0 7.5 2.5 0. A5 9.0.5 7.5.5 8W T B () = [0.6750.25] T 9W T B x ij 5 2 = [0.28570.5740.429] T λax =.002CI=0.00RI=0.58CR =0.007 () 6 < 0. 6 0W T B Table6 Resultsofthestadardizedquatitativeidicators = [0.6670.] T C C4 C5 W C7 A 0.6 0.25 0.5 A2 0.0 0 0.86.4 A 0.2 0.8 0.7 ) W = [0.474 0.206 A4 0.9 0 0.4 0.0654 0.09 0.027 0.084 0.0406] T A5 0.06 0 2) (2) 熿 0.897 0.75 0 0.899 0.5 0. 0. 0 Table Difereceofeachproject 0.6 0 0.2 0.9 j= j=2 j= j=4 j=5 R = 0.25 0 0.06 d j 0.027 0.08 0.0807 0.0475 0.0524 0.5 0 0.8 ' d j 0.0777 0.0644 0.055 0.0747 0.0882 0.944 0.6 0 0.972 () 5 燀 0.86 0.7 0. 4 0 燅
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