Table 8.

Weightiness analysis of herbal pairs containing TM.

Herbal pairs	Dimensionless value of the data mining results (yiA: 0∼1)	Dimensionless value of the statistical results of expert survey (yiB: 0∼1)	Weight value (WI: 0∼1)	Source
TM ⇒ QX	0.868	0.674	0.771	Data mining
TM ⇒ FF	1.000	0.391	0.696	Data mining
TM ⇒ JC	0.685	0.630	0.658	Data mining
TM ⇒ CX	0.501	0.761	0.631	Data mining
TM ⇒ QH	0.674	0.544	0.609	Data mining
TM ⇒ BFZ	0.699	0.391	0.545	Data mining
TM ⇒ JH	0.019	1.000	0.510	Expert provision
TM ⇒ GG	0.021	0.957	0.489	Expert provision
TM ⇒ MJZ	0.105	0.848	0.477	Expert provision
TM ⇒ SCP	0.081	0.870	0.476	Expert provision
TM ⇒ BX	0.354	0.587	0.471	Data mining
TM ⇒ SJM	0.000	0.935	0.468	Expert provision
TM ⇒ NX	0.289	0.630	0.460	Data mining
TM ⇒ GT	0.052	0.848	0.450	Data mining
TM ⇒ BS	0.065	0.804	0.435	Data mining
TM ⇒ TNX	0.603	0.261	0.432	Data mining
TM ⇒ SX	0.710	0.152	0.431	Data mining
TM ⇒ DH	0.356	0.456	0.406	Data mining
TM ⇒ JMZ	0.000	0.761	0.381	Expert provision
TM ⇒ DZ	0.066	0.695	0.381	Data mining
TM ⇒ DL	0.055	0.674	0.365	Data mining
TM ⇒ RS	0.536	0.174	0.355	Data mining
TM ⇒ XX	0.286	0.413	0.350	Data mining
TM ⇒ DNX	0.128	0.565	0.347	Data mining
TM ⇒ CS	0.059	0.630	0.345	Data mining
TM ⇒ FZ	0.416	0.261	0.339	Data mining
TM ⇒ CP	0.112	0.522	0.317	Expert provision
TM ⇒ ZS	0.614	0.000	0.307	Data mining
TM ⇒ RG	0.390	0.196	0.293	Data mining
TM ⇒ MH	0.407	0.174	0.291	Data mining
TM ⇒ MX	0.282	0.283	0.283	Data mining
TM ⇒ CWJ	0.000	0.543	0.272	Expert provision
TM ⇒ NH	0.350	0.174	0.262	Data mining
TM ⇒ ML	0.000	0.478	0.239	Expert provision
TM ⇒ SQ	0.000	0.478	0.239	Expert provision
TM ⇒ SR	0.000	0.304	0.152	Expert provision
TM ⇒ XH	0.264	0.000	0.132	Data mining
TM ⇒ BP	0.090	0.087	0.089	Data mining
TM ⇒ SM	0.000	0.087	0.044	Expert provision