Journal of Chemical and Pharmaceutical Research, 2014, 6(6): Research Article

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1 Available olie Joual of Chemical ad Phamaceutical eseach, 04, 6(6:40-46 eseach Aticle ISSN : CODEN(USA : JCPC5 Fuzzy clusteig aalysis-based swimmig eseve talet cultivatio eseach Chufeg Xia Depatmet of Humaities ad Social Scieces, Zhejiag Idusty Polytechic College, Yuecheg Distict, Shaoxig, Zhejiag, Chia ABSAC Swimmig type spots evets ae always oe of the favoite spots evets by me, wome-people of ages, i the begiig of Chia, swimmig maily cocetates o steams, ives, laes, ad seas so o. With lage-scale swimmig pool emegecy i each city, swimmig type spots competitive evets have gadually bee ow by may people, ad gadually loved by atioal people. he pape caies fuzzy clusteig aalysis of Chiese swimmig eseve talet ad gets: Chiese swimmig team scale is expadig yealy, which eeds to stegthe maagemet so that ca well impove swimmig team eseve talet quality. Duig aalysis of swimmig team coaches, it is clea that coaches oveall quality is highe, age distibutio is elative easoable, duig coachig pocess, mostly follow syllabus cotets. Fom above types, we ca see that Chiese competitive swimmig evet eseve talet maagemet is elative easoable, which ca meet supplyig of Chiese swimmig team eseve talet. Ad meawhile it also hopes that Chiese swimmig team ca meet the expectatio ad get good esults i iteatioal lage-scale competitios. Key wods: Fuzzy clusteig aalysis, eseve talet, swimmig, mathematical model INODUCION As oe of big gold medal evets i Olympic Games, swimmig is the ey evet of iteatioal evey couty s competitio. With social pogess ad sciece ad techology apidly developmet, competitive spots evets competitios have also gow fiece, geat powes i iteatioal put cosideable emphasis o swimmig developmet, ad Chia also has o exceptio. Ameica is acowledged as powe i competitive swimmig evets i the wold, swimmig is also big evet that Ameica wis the gold medal i Olympic Games, which ca well explai swimmig evets decisive effects o iteatioal lage-scale competitios. I view of histoy, Chiese swimmig evets have both gloious ad lows i developmet pocess [-3]. I 99 Baceloa Olympic Games, its pefomace is pomiet that has achieved fou gold medals ad five silve medals i swimmig evets; i 000 Sydey Olympic Games, it has gaied othig i swimmig evets; i 008 Beig Olympic Games, it has achieved oe gold medal, thee silve medals ad two boze medals i swimmig evets [4-6]. With Chiese opeig-up ad efom as well as ecoomic system deepe efom, plaed ecoomy caused some afteeffects always affect ad estict Chiese swimmig competitive evets eseve talet cultivatio ad supplyig. Howeve, coespod to swimmig type eseve talet amout, quality high o low diectly affects Chiese swimmig type evets sustaiable developmet ad magificet taget implemetatio. Fo a log tem, Chiese swimmig type evet eseve talet maily elies o amateu spots school swimmig school spots school spots team the thee gades mode to cay out, the mode obviously caot adapt to iceasigly chaged wold ad bette povide high quality swimmig type eseve talet amout, the mode has suffeed some impact. heefoe, it affects Chiese competitive swimmig eseve talet impovemet ad populaizatio to some extet [7-0]. Chiese competitive swimmig evets have got some achievemets i ecet yeas, but with yealy Chiese 40

2 Chufeg Xia J. Chem. Pham. es., 04, 6(6:40-46 competitive swimmig levels emegecy of oveall slidig, the causes ae because swimmig type evets excellet eseve talet always caot be effective supplied so that lead to such id of tempoay shotage, eseve talet seious isufficiet pheomeo. Swimmig type spots evets eseve talet cultivatio is a poblem that to be ugetly solved i competitive spots developmet, accodig to Chiese peset status, it should focus o swimmig eseve talet coespodig echelo costuctio, oly the ca Chiese competitive spots developmet get vey fa ad catch up with iteatioal advaced levels. MODEL ESABLISHMEN Fuzzy clusteig is a method that accodig to data afte stadadizatio, ad maes classificatio accodig to data elatios ad quatity sizes, it is geeally applicable to coelated factos to mae combiatio ad futhe gathe ito oe id. Fuzzy clusteig aalysis method Basic thought of fuzzy elatios equivalet fuzzy clusteig aalysis method is: due to fuzzy equivalet elatio is domai of discouse set U ad itself diect poduct U U oe fuzzy subset, mae pope decompositio o, hee use λ to expess hoizotal cut set o, the cutu U oe geeal subset λ is U oe equivalet elatio, ad so it also get oe id of classificatio of U classified objects elemets. Whe λ falls fom to 0, obtaied classificatio chages fom fieess to coaseess, ad gadually mege so that fom ito a dyamic clusteig tee diagam. heeupo, classificatio object set U fuzzy equivalet elatio establishmet is oe ey li i the clusteig aalysis method []. Establish fuzzy equivalet elatio: I ode to establish object classificatio set U * elatio, geeally we eed to fistly calculate each classified object similaity statistics, establish classificatio object set U fuzzy similaity elatio that is defied as. Fuzzy similaity elatio establishmet egadig each classificatio object similaity statistics computig, except fo adoptig icluded agle cosie fomula ad similaity coefficiet fomula, it ca also adopt followig computatioal fomulas. i j j,, L, m xi x / M i j Dot poduct method: M I above fomula, M is a pope selected positive umbe, i geeal, it should meet: i j j,, L, m c xi x i j Absolute value diffeece method: I above fomula, c 0 ( i j is a pope selected positive umbe, let. Max-mi method: Aithmetic aveage miimum method: mi( xi, x j,, L, m ( x, x i mi( xi, x j,, L, ( xi, x m > x i j i x 4

3 Chufeg Xia J. Chem. Pham. es., 04, 6(6:40-46 Absolute value idex method: Idex similaity coefficiet method: I above fomula, s x i x e j,, L, m e 3 4 ( x is the idicato vaiace, that: i x s s j,, L, m m m i ( x i x asfom fuzzy similaity elatio to fuzzy equivalet elatio symmety ad eflexivity, but geeally speaig, it does t meet ule of dowwad tasmittig, that is to say, it is ot equivalet elatio. heefoe, i ode to effective cluste, we should adopt closue tasitive attibute to tasfom the fuzzy similaity elatio to fuzzy equivalet elatio that is: ο 4 ο I this way, it suely will exists a atual umbe K, let: * he, is a equivalet elatio. ο *.Due to similaity elatio meets *. asfomatio method is to squae, Maximum fuzzy spaig tee-based fuzzy clusteig aalysis method Hee, except fo maig clusteig aalysis accodig to equivalet elatios, we ca also establish classificatio object set fuzzy similaity elatio. Clusteig aalysis pocess based o imum fuzzy spaig tee, its steps is as followig. Step oe: Fist costuct a mutually fuzzy diagam. he opeate the step as followig method: Fist calculate classificatio items similaity statistics as classificatio object set U coespodig similaity elatio Expess as a m pieces of odes composed fuzzy diagam to have each side to coect, ad edow the side weight as. ( m. j,, L, m G ( V, E, V { v, v, Lv}( let G ay two odes, ad the establish V V i ad j 5, the pocess with its If mae classificatio o five factos composed object, its set oigial data by selectig clusteig elemets, it gets followig similaity fuzzy elatio: Step two: Costuct fuzzy imum spaig tee hee. It gets fuzzy diagam G imum weight algoithm, it ca opeate accodig to followig methods: ( Fid out G imum weight edge ; ( Put i the set C, put coespodig ew odes i a set, if aleady cotais m pieces of odes, ow move to (4; (3 Chec evey data ad exteal odes composed weights, fid out thei imum value, the epeat step (; (4Ed, ow G edge is composed of G imum fuzzy spaig tee. 4

4 Chufeg Xia J. Chem. Pham. es., 04, 6(6:40-46 Accodig to above algoithm, it ca solve its imum fuzzy spaig tee Heeto, has followig thee coespodig featues: it has o cicuit, theefoe is tee; its coespodig oigial G all odes ae the same, theefoe it is Figue G coespodig spaig tee; 3 o G thei ay spaig tee, all ca have: heefoe, is suely G imum fuzzy spaig tee.. weights sum is equal o above each side weight sum. Step thee: duig imum fuzzy spaig tee fuzzy clusteig aalysis pocess, its cocete opeatio is: select a λ value as a cut set, to, edges that is t above λ beas hee, let coected each poit to compose a lage class, whe λ falls fom to 0 hee, obtaied classificatio chages fom fieess to coaseess, coespodig each ode epesetative classificatio data has gadually bee meged ito a class, ad futhe fom ito a clusteig dedogam. o above imum fuzzy spaig tee, whe espectively select λ, λ 0.9, λ 0.8, λ 0.7, λ 0. 4, the pocess ca get a clusteig dedogam. Coespod to above aalysis, list out flow chat of cocete pocess hee as Fig.. Fig. : Hieachical diagam esults aalysis o Chiese swimmig eseve talet cultivatio, fistly aalyze eseve talet leaig poblems, its esults is as able. 43

5 Chufeg Xia J. Chem. Pham. es., 04, 6(6:40-46 able : Swimmig eseve talet leaig poblems a Optio Fequecy Pecetage Isufficiet study time % 5 he foudatio is poo, lac of iteests 5.60% 3 aiig is too tied, has o eegy 89.60% 4 Method is wog % Have t fom ito leaig habits % 8 School etace equiemet is low, has o impetus 4.00% 7 Coaches ad cultual couse teaches do t cae eough % 6 Othes % Coespod to above data; it maes blac ad white ba chat as Fig.. Fig. : Swim eseve talets i leaig poblems Coespod to above aalysis; it is clea Chiese swimmig eseve talet mai poblem that come acoss i leaig is isufficiet leaig time that accouts fo 69.70% of total. he aalyze coespodig swimmig taiig istuctos familia status about swimmig teachig outlie, its statistical esults is as able. able : Swimmig taie familia status o outlie Optio Fequecy Valid pecetage Accumulative pecetage Kow somebody well % 5.85% o be familia to % 74.30% Odiay 4.0% 95.50% Not too familia 3.00% 98.50% Ufamilia.50% 00% Coespod to above data; it maes blac ad white pie chat as Fig. 3. Fig. 3: Swimmig taie to familia with the situatio of "outlie" Fom above statistical aalysis, we ae clea that Chiese peset swimmig taies wholly ae familia to swimmig teachig outlie, it occupies 74.30% of total, ad thee is still.5% swimmig taies ae ufamilia to swimmig teachig outlie, fo the status, we should stict with quality of swimmig taies, oly the ca bette impove Chiese swimmig eseve talet cultivatio. he tageted swimmig taies, aalyze teachig outlie executio status, its esults as able 3. 44

6 Chufeg Xia J. Chem. Pham. es., 04, 6(6:40-46 able 3: Swimmig taies teachig outlie executio status Optio Fequecy Valid pecetage Accumulative pecetage I stict accodace with the pogam executio 6 4.0% 4.0% efeece outlie, slightly highe tha the geeal outlie % 53.00% efeece outlie, slightly below the outlie equiemets 6 4.0% 77.0% Expeiece is give pioity to, the occasioal efeece outlie % 96.90% egadless of the outlie 3.00% 00.00% Coespod to above data; it maes blac ad white pie chat as Fig. 4. Fig. 4: Swimmig taie to pefom the teachig cuiculum Coespod to above aalysis, it is clea whe Chiese swimmig taie is teachig, mostly ely o swimmig teachig outlie to give lectues, oly 3.00% swimmig taies igoe swimmig teachig outlie. Fially, mae ivestigatio ad statistical aalysis of swimmes taiig motivatio, taiig paticipatio motivatios maily iclude: ehace health, attedig uivesity by swimmig, joi i pofessioal team, pesoal iteests, job hutig with the help of swimmig, paets willig, add scoes i school eteig, chose by coaches ot volutay, othes. Its statistical esults ae as able 4. able 4: Swimmes taiig motivatio a Optio Fequecy Pecetage 5 Ehace health % 4 Attedig uivesity by swimmig % 3 Joi i pofessioal team % Pesoal iteests % 6 Job hutig with the help of swimmig % 7 Paets willig.0% Add scoes i school eteig % 8 Chose by coaches ot volutay 6 6.0% 9 Othes 5 5.0% Coespod to above aalysis, it is clea that swimmes taiig motivatio maily cocetates o ehacig health, it occupies 59.0%, while accodig to pesoal iteests ad joiig i swimmig team also occupy cosideable popotios. CONCLUSION Swimmig team scale is expadig yealy, which eeds to stegthe maagemet so that ca well impove swimmig team eseve talet quality. Duig aalysis of swimmig team coaches, it is clea that coaches oveall quality is highe, age distibutio is elative easoable, duig coachig pocess, mostly follow syllabus cotets. Fom above types, we ca see that Chiese competitive swimmig evet eseve talet maagemet is elative easoable, which ca meet supplyig of Chiese swimmig team eseve talet. Ad meawhile it also hopes that Chiese swimmig team ca meet the expectatio, get good esults, ad seve the mothelad i iteatioal lage-scale competitios. EFEENCES [] ZHANG Mig-fei, CHEN Ya, ZHANG Yi-hua. Chia Spot Sciece ad echology, 006, 4(5, [] SUN Big, XU Hogqi. Joual of iaji Istitute of Physical Educatio, 008, 3(5, [3] Li Yi-yu, Yag Fag ad He Jiag-chua. Neual egeeatio eseach, 009, 3(37,

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