The Application of Fuzzy Comprehensive Evaluations in The College Education Informationization Level

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1 IOSR Jounal of Reseach & Mehod n Educaon IOSR-JRME) e- ISSN: ,p-ISSN: 3 737X Volume 8, Issue 3 Ve IV May June 8), PP -7 wwwosjounalsog The Applcaon of Fuzzy Compehensve Evaluaons n The College Educaon Infomaonzaon Level Lng Lng Lu, Mng Xue Guo, Yong We Yang Faculy of Hsoy and Achaeology, Anyang Nomal Unvesy, Chna School of Mahemacs and Sascs, Anyang Nomal Unvesy, Chna Coespondng Auho: Yong We Yang Asac: In hs pape, he mehod of comnng wo-laye fuzzy compehensve evaluaon wh wo-level fuzzy compehensve evaluaon s used o quanavely evaluae he nfomazaon level of colleges and unveses, whch n some cean exen can ovecome he sujecve assumpons n he pocess of evaluaon The empcal analyss shows ha hs model can e used o evaluae and analyze he level of nfomaon effcency n colleges, whch can exploe a new way o evaluae he college educaon nfomaonzaon level Keywods: college educaon nfomazaon, fuzzy compehensve evaluaon, ndex sysem Dae of Sumsson: -6-8 Dae of accepance: I Inoducon As a pa of he nfomaon socey, he colleges nfomazaon nvolves aspecs such as he dea of unnng a school, he managemen sysem, he scenfc eseach sysem, and he eachng mehod I plays an mpoan ole n pomong he developmen of he educaonal heoy, culvang nnovave alens adaped o he nfomaon age, and mpovng he qualy of all people The mes and demes of he effecveness evaluaon sysem of unvesy nfomaonzaon have a dec mpac on he ojecvy and scence of unvesy nfomaon effecveness To make he nfomaonzaon of colleges and unveses develop n a apd and healhy decon, s necessay o esalsh a scenfc and complee evaluaon ndex sysem and coespondng evaluaon mehods whch makes a easonale measuemen and evaluaon of he nfomazaon consucon level of dffeen unveses, hen wll gude unveses and colleges o senghen he consucon and managemen of nfomazaon and senghen he sevce conscousness n he pocess of nfomaon plannng The consucon and developmen of colleges nfomazaon n Chna has gone hough hee sages: he fs sage s he consucon sage of he campus newok hadwae plafom, whch elongs o he nal sage; and he hd sage s ha he colleges and unveses moves owads he dgal campus sage The hd sage s he dgal campus plannng and plafom sage [] The evaluaon of nfomazaon n Chna egan n wh he "ndcao sysem of Chnese Enepse Infomazaon", whch s manly used o evaluae he level of nfomazaon developmen and applcaon of domesc enepses [] A pesen, compaed wh ohe nduses n Chna, he nfomazaon consucon of colleges and unveses n Chna s sll n he pmay sage of exploaon, u has aaced he aenon of many scholas Based on he daa of Jangsu Povncal Infomazaon Yeaook ), Xong analyzes he echncal effcency, scale effcency and pojecon analyss of he nvesmen enef of educaonal nfomazaon n some colleges and unveses y usng he daa envelopmen analyss mehod [3] In vew of he fac ha he applcaon sysem of nfomazaon n hghe vocaonal colleges nvolves a wde ange of felds and has a lage nume of applcaon sevce goups, as well as facos affecng he effcency of nfomazaon n hghe vocaonal colleges, Guo [4] adops he desgn mehod of "mul-faco analyss and mul-level pogessve evson" o sudy he consucon of he oveall famewok of nfomaon effcency evaluaon sysem n hghe vocaonal colleges and uses he analyc heachy pocess AHP) o compehensvely evaluae he evaluaon sysem Am a he polem ha s dffcul o deemne he daum of quanave ndex n he ndex sysem, Wu and Hu [5] used he fuzzy compehensve evaluaon mehod o evaluae he nfomaonzaon level of colleges and unveses In ode o ovecome he sujecve assumpons and oan fa and easonale esuls o a cean exen, he scenfc evaluaon of he nfomazaon level of colleges and unveses s caed ou quanavely Due o he wde ange of nfomaon sysems n colleges and unveses and he numeous ypes of applcaon sevces, he ndcao enchmaks n he ndex sysem ae dffcul o keep consan, and s dffcul o make accuae and easonale calculaons ased on adonal mahemacal mehods To solve hs polem, he mehod of comnng wo-laye fuzzy compehensve evaluaon and wo-level fuzzy DOI: 979/ wwwosjounalsog Page

2 compehensve evaluaon n fuzzy se heoy s used o quanavely evaluae he nfomazaon level of colleges and unveses, so as o ovecome he sujecve assumpons n he pocess of evaluaon o a cean exen The effecveness of hs mehod s vefed y empcal analyss II Esalshmenng The Evaluaon Index Sysem Of Infomazaon In Colleges In, he Mnsy of Infomaon Indusy announced he "Naonal Infomazaon Indcaos Composon Pogam", whch consss of ndcaos Accodng o he sysem sucue of naonal nfomaon echnology, he pogam s ased on he developmen and ulzaon of nfomaon esouces, he consucon of nfomaon newoks, and he applcaon of nfomaon echnology, nfomaon echnology and ndusy developmen, nfomaon alens, nfomaon polces and sandads The pupose of evaluang he effecveness of he nfomaonzaon level n colleges and unveses s o povde a elale ass fo he decson makng of he nfomaonzaon of he educaon seco Accodng o he cuen eseach saus, comned wh he acual suaon of Chnese unveses, and ased on he pncples of compehensve ojecvy, scenfcy, dynamcs, and opealy of ndex sysem consucon, we have esalshed a mullevel evaluaon ndex sysem fo unvesy nfomaon effecveness See Tale ) Facos Infomaon saegy U Infasucue U Tale The colleges nfomaon effcency heachcal sucue consucon Infomaon esouces U 3 Infomaon applcaon U 4 Su-facos u Infomaon consucon plannng level The hghes leade saus of nfomaon wok u The popoon of oal nvesmen n nfomaon consucon o he oal nvesmen n u colleges 3 Infomaon polcy u 4 Pe capa fundng gowh ae u 5 Campus newok consucon level u Popoon of mulmeda classooms u Compue newokng ae u 3 Newok equpmen and seves u 4 Eleconc eadng oom u 5 Pe capa compue owneshp u 6 Vdeo and audo on demand sysem u 7 Mulmeda sofwae and cousewae level u 3 Resouce eeval level u 3 Newok esouce daaase oal capacy u 33 Dgzaon ao of eachng esouces u 34 Hp and fp esouce owneshp u 35 Eleconc ook owneshp u 36 Dgal eachng applcaon level u 4 Offce auomaon applcaon level u 4 Campus cad consucon level u 43 Teachng managemen sysem u 44 Scenfc eseach managemen sysem u 45 Applcaon of dsance Educaon u 46 DOI: 979/ wwwosjounalsog Page

3 The populazaon ae of eachesundefned nfomaon-ased eachng sklls u 5 Human esouces U 5 Infomaon secuy and U managemen 6 Pass ae of Infomaon Technology Cefcaon examnaon u 5 Infomaon echnology alen ao u 53 Infomaon echnology anng pogam and measues u 54 Impovemen and mplemenaon of Infomaon Secuy ules and egulaons u 6 Infomaon sevces pogammes and measues u 6 Use Unfed deny Auhencaon sysem u 63 Invesmen ao of nfomaon secuy funds u 64 III Fuzzy Compehensve Evaluaon Mehod Of Infomazaon In Colleges Fuzzy compehensve evaluaon s an applcaon of fuzzy mahemacs I uses he pncples of fuzzy ansfomaon and maxmum memeshp degee, evaluang all elevan facos o make a compehensve evaluaon Ths s an effcen evaluaon mehod o evaluae ojecs ha ae affeced y vaous facos Fo ojecs ha ae nfluenced y a few facos, we can use one-laye models If he ojecs ae complcaed and he nume of he facos s lage, we can use models wh wo o moe layes In hs pape, we used a fuzzy compehensve evaluaon model wh wo layes and wo levels as a ool fo eachng pefomance evaluaon The applcaon seps of fuzzy compehensve evaluaon ae as follows: Sep : Esalshmen of The faco se and he commens se The faco se s a se of facos ha affec he ojec of evaluaon, whch s geneally esalshed y expes accodng o he eseach esuls and expeence Accodng o he naue of he chaacescs of he evaluaon ndex sysem, he faco se n he evaluang elaonshp s as follows: U u, u, u } The evaluaon commen se s as followed: m V v, v, vn} In he compehensve evaluaon of complex sysems, ecause hee ae many facos o e judged and each faco should e gven a cean wegh, hee mus e he followng polems: ) s dffcul o assgn weghs; ) no meanngful esuls can e oaned Fo hs knd of polem, we need o dvde he elemens of he faco se U no s classes U u, u, u } accodng o some aues: m hey sasfy: ) m m ms m, ) U U U m U, ), j, j U U j s Sep : Esalshng of he sngle-faco evaluaon max R fom U o V Each faco u m ) should e evaluaed as a sngle-faco As hee ae dffeen ypes of evaluaon levels, he evaluaon esul of each faco s a fuzzy se of evaluaon se V whch can e wen as he fuzzy veco,, n},,, m The esuls of hese evaluaons mee he nomalzed condons and he sum of he wegh of he veco s, ha s, hee s: n All of he sngle-faco evaluaons consue he fuzzy elaonshp R fom U o V : R j ) mn Tha s, R n whee j pesens he gade of memeshp of faco m m mn v We denoe he sngle-faco evaluaon max fom he su-faco se U u, u, u } n j ) mn commen j o he commens se V y R m m n n m n u amng a he m DOI: 979/ wwwosjounalsog 3 Page

4 Sep 3: Deemnng of he faco weghs In he concenaon of facos, he mpoance of each faco n he evaluaon sysem s no he same Theefoe, n ode o eflec he mpoance of each faco, each faco mus e gven coespondng wegh Tha s, we gve a fuzzy se on he se of facos A a, a, a ), whee m a s a measue of he nfluence degee of he faco,, m) n he oal evaluaon, and o a cean u exen epesens he aly o evaluae he gade accodng o he sngle faco, A s called he ndex wegh se The wegh suse of he su-faco se U u, u, u }, On he suse s A a, a, a ) m m ass of makng full use of expe wsdom and expeence, hs pape uses Delph mehod o deemne he wegh of facos Hee we ake he evaluaon of a college's nfomazaon level as an example o llusae he applcaon of he aove-menoned fuzzy compehensve evaluaon model Sep 4: The mehod of comnng wo-laye fuzzy compehensve evaluaon wh wo-level fuzzy compehensve evaluaon ) The esuls of an evaluaon can e oaned hough mulplyng he veco of he faco wegh A and he max R of sngle-faco evaluaon: B A R,, ), whee s n fuzzy compose opeaon The fuzzy compose opeaon eween wo fuzzy ses has many opeaonal models o choose, such as he man faco poudng ype M ), he weghed aveage ype M ), he small uppe ound ype M ), ec Each model has s own chaacescs and scope of use In geneal, we usually adop he weghed aveage ype M ), whch akes all facos no accoun accodng o he wegh ) Cayng on he wo-laye fuzzy compehensve evaluaon Le A A, A, A ) e he ndex wegh s se of U U, U, U } A wo-level fuzzy compehensve evaluaon max ased on one-laye fuzzy s compehensve evaluaon s B A R B A R R B A R s s s The wo-laye fuzzy compehensve evaluaon s oaned as follows: B A R,, ), whee B s evaluaon esul ased on all facos n ndex sysem U The k-h elemen n s memeshp of he evaluaon ojec wh egad o k-h elemen n he commen se ) In he pocess of one laye fuzzy compehensve evaluaon, f only one knd of evaluaon ndex s used o analyze he esul, he fnal esul may e one-sdedness Theefoe, we gve a wo-level fuzzy compehensve evaluaon model I s comned wh he wo-laye fuzzy compehensve evaluaon In he pocess of one laye fuzzy compehensve evaluaon, f only one evaluaon model s used o analyze he esuls, he fnal esul may e one-sded Theefoe, we fuhe povde a wo-level fuzzy compehensve evaluaon model o comned wh wo-level fuzzy compehensve evaluaon Fom dffeen pespecves, some epesenave models such as M ), M ), M ), ec) ae seleced o cay ou wo-laye fuzzy compehensve evaluaon Le he esulng fuzzy compehensve evaluaon max e as follows: A R B A R B A R B,,,,,, n Denoe B, B,, B } n n ), ), ), U, whch s called a second-level evaluaon ndex se Le he wegh ndex se A a, a,, a ) of max U Takng B, B,, B as ows o fom a wo-level compehensve judgmen k DOI: 979/ wwwosjounalsog 4 Page

5 R B B B n n n A a, a,, a and he compehensve evaluaon max B A R,, v) Usng he wegh se ) n R o do he fuzzy lnea ansfomaon ) The concluson of he compehensve evaluaon can e oaned y he maxmum memeshp pncple IV Expemenal Resuls Hee we ake he evaluaon of a college's nfomazaon level as an example o llusae he applcaon of he aove-menoned fuzzy compehensve evaluaon model Sep : Esalshmen of he commens se The commen se s a ang heachy esalshed accodng o dffeen needs Hee we consde he elaly and ealy of he evaluaon esuls In he nfomaon effecveness evaluaon of colleges and unveses, he commens ae dvded no fve levels: excellen, good, fa, wose and vey poo, hen he commen se s V v excellen), v good), v fa), v wose), v vey poo)} Sep : Esalshng of he sngle-faco evaluaon max R The deco of he college nfomaon cene, he nfomaon offce, he epesenave of eaches and he epesenave of sudens ae nved as assessos, and he conen of he ndcao s evaluaed hough he quesonnae fom The compehensve evaluaon max n n R of he school s nfomaon effcency level s oaned, whee m m mn memeshp degee of he evaluaon faco u k fo he commen level v j, and he expes gave he angs T on he evaluaon facos, hen T n j T s he Accodng o he faco of Tale, U s dvded no 5 caegoes U U, U, U3, U4, U5, U6} Then can e concluded ha he compehensve evaluaon maces fomu u, u,, u } o V v, v, v3, v4, v5} ae: m R 5 3 R R R DOI: 979/ wwwosjounalsog 5 Page

6 7 6 4 R 3 5, R Sep 3: Deemnng of he faco weghs Tweny expes ae nved o commen on he se of facos, accodng o he Delph mehod we can gves he ndcao wegh se: A 9,867,376,96,874), A 436, 7, 98, 36, 535, 677, 456), A3 673, 68, 5, 65, 75, 77), A4 576, 743, 548, 675, 63, 835), A5 434, 39, 556, 68), A6 64, 349, 73, 837), A 678, 8, 684, 8, 667, 368) Sep 4: The mehod of comnng wo-laye fuzzy compehensve evaluaon wh wo-level fuzzy compehensve evaluaon ) The compehensve evaluaon esuls can e oaned y usng he weghed aveage ype M ) o cay ou a laye of fuzzy evaluaon B A R,,, n), he esuls ae as follows: B 396, 44, 34, 67, 763), B 3657, 553,, 5, 683), B3 5, 35, 983, 6, 845), B4 494, 87, 99, 4, 47), B5 4736, 8, 755, 734, 757), B6 443, 585,, 59, 734) ) Cayng on he one-laye fuzzy compehensve evaluaon Snce he ndex wegh se A 678, 8, 684, 8, 667, 368) of U U, U, U } and s B B B R B B B hen we use he man faco poudng ype M ), he weghed aveage ype M ), he small uppe ound ype M ) no wo-laye fuzzy compehensve evaluaon, especvely, and we oan ha B A R 79, 59, 378, 56, 4), B A R 384, 5, 878, 66, 693), B3 A3 R,, 965, 637, 489), Le he wegh ndex se A,, ) of a second-level evaluaon ndex se U he wo-level compehensve judgmen max B, B, B } 3 We ge DOI: 979/ wwwosjounalsog 6 Page

7 B R B B v) The weghed aveage M ) model s used o evaluae he wegh ndex se A,, ) and he compehensve evaluaon max R, ha s, B A R 4877, 437, 3969, 543, 675) The esul shows ha he excellen poaly of he college's nfomazaon level pefomance s 4877; he poaly of good, fa, wose and vey poo s 437, 3969, 543, and 675, especvely Accodng o he maxmum memeshp degee pncple, he compehensve evaluaon esul of he college's nfomazaon level pefomance s excellen Besdes hs, anohe mplcaon fom he dsuon of B, B, B, B, B, B veco weghs s ha he achevemens egadng he Infomaon secuy and managemen faco ae no good as hose fo ohe facos If we only use wo-laye fuzzy compehensve evaluaon o each he esul, hen accodng B 3 A3 R,, 965, 637, 489), we canno deemne whehe he college nfomazaon level pefomance s excellen o good The evaluaon esul s ased on he mehod of comnng wo-laye fuzzy compehensve evaluaon wh wo-level fuzzy compehensve evaluaon can lagely ovecome he sujecve assumpons n he assessmen pocess Acknowledgemens The woks desced n hs pape ae paally suppoed y Chnese Oveseas Communcaons Mnsy Collaoave Innovaon Cene-Sudy of Chnese Chaace Culue, Hghe Educaon Key Scenfc Reseach Pogam Funded y Henan Povnce No 8A8, 8A63) and Undegaduae Innovaon Foundaon Pojec of Anyang Nomal Unvesy No ASCX/8-Z) REFERENCES [] H Wang, H Wu, and Y Wang, Reseach aou he evaluaon sysem on he pefomance of unvesy nfomaon, Jounal of Eas Chna Nomal Unvesy Naual Scence), S, 5, 4-8 [] D L, Reseach on he pefomance evaluaon of hghe vocaonal colleges nfomazaon consucon ased on fuzzy-dea, Jln Unvesy, 4 [3] Q Xong, Daa envelopmen-ased analyss on pefomance evaluaon n college educaon akng Jangsu povnce as an example, Jounal of Xuzhou Nomal UnvesyEducaonal Scences Edon), 3),, 3-34 [4] P Guo, Reseach on he evaluaon sysem of hghe vocaonal colleges nfomazaon effcency, Jounal of Guangdong Communcaons Polyechnc, 3), 4, 3-5 [5] Y Wu, K, Hu, A sudy of evaluaon of college nfomazaon ased on fuzzy compehensve mehod,theoy and Pacce of Educaon, 37),, 7-9 Lng Lng Lu "The Applcaon Of Fuzzy Compehensve Evaluaons In The College Educaon Infomaonzaon Level IOSR Jounal of Reseach & Mehod n Educaon IOSR-JRME), vol 8, no 3, 8, pp -7 DOI: 979/ wwwosjounalsog 7 Page