Teacher Allocation and Evaluation Based on Fuzzy C-Means Clustering

Table 3

Membership matrix values.

Province	Category 1 membership	Category 2 membership	Category 3 membership	Category 4 membership	Category
Beijing	0.464824549	0.337262511	0.122654599	0.075258341	1
Tianjin	0.711158975	0.164272805	0.082904038	0.041664182	1
Hebei	0.022418855	0.020956522	0.886039326	0.070585298	3
Shanxi	0.137426643	0.407711922	0.210902336	0.243959099	2
Inner Mongolia	0.191276561	0.704116307	0.069451724	0.035155407	2
Liaoning	0.302900283	0.369783085	0.176494096	0.150822536	2
Jilin	0.141450859	0.760255945	0.058206504	0.040086692	2
Heilongjiang	0.055115443	0.86486202	0.043113873	0.036908665	2
Shanghai	0.495608374	0.235627662	0.183964815	0.084799149	1
Jiangsu	0.873761841	0.050616252	0.056309973	0.019311934	1
Zhejiang	0.788043715	0.073004647	0.107543129	0.031408509	1
Anhui	0.04135708	0.051224496	0.465613567	0.441804857	3
Fujian	0.02651004	0.024113151	0.893335797	0.056041012	3
Jiangxi	0.076538629	0.098821696	0.194753868	0.629885807	4
Shandong	0.109705166	0.135474193	0.631410271	0.12341037	3
Henan	0.010936735	0.015739634	0.043078696	0.930244935	4
Hubei	0.04527561	0.086432368	0.119505065	0.748786957	4
Hunan	0.016006267	0.024826699	0.06423787	0.894929164	4
Guangdong	0.045561384	0.035411239	0.854248163	0.064779214	3
Guangxi	0.046731678	0.055174565	0.198942959	0.699150798	4
Hainan	0.013548131	0.018477943	0.085505365	0.882468561	4
Chongqing	0.074141745	0.047637993	0.800010045	0.078210217	3
Sichuan	0.022908199	0.042554208	0.077400829	0.857136764	4
Guizhou	0.019080379	0.024945962	0.126664961	0.829308699	4
Yunnan	0.227603163	0.233372824	0.314891529	0.224132485	3
Tibet	0.225750128	0.256225073	0.379602092	0.138422707	3
Shaanxi	0.317919065	0.253538105	0.329823256	0.098719574	3
Gansu	0.117167993	0.540759779	0.180339831	0.161732397	2
Qinghai	0.058738349	0.084522766	0.279240496	0.577498389	4
Ningxia	0.15378677	0.083194216	0.641823722	0.121195292	3
Xinjiang	0.088401476	0.231715167	0.223429043	0.456454314	4