Regarding the numerical repair of judgment and limit values, the method described in literature [11,12] was used. The results indicated that the medicines were not calculated into the Taiwan grid switch [10], which accounted for about a quarter of the Taiwan grid. In Section 12 of Mathematical Medicine in 1999, the first two principal component analyses were compared with the TOPSIS method for evaluating the health status of hospital waiting rooms.
Bow (Department of Basic Sciences, Shandong Weifang Medical College, Weifang 261042) summarized the principal component analysis {hit and TOPSIS} to evaluate eight indicators of the health status of hospital waiting rooms. The results showed that wind speed and noise determined the first principal index, dust and auxiliary particles deposited determined the second main ingredient, and CO determined the third principal component indicator. Although the sequence of two side fruits is basically the same, there are some differences in the evaluation of environmental health supervisors for the status of hospital attendance. Principal component analysis of the U.S. foot word TOPS1S France outpatient Environmental Health rinse --- a moment system is commonly used for comprehensive evaluation. The literature pointed out that the TOPSIS method is objective, realistic, and has significant value for actual work evaluation. However, these methods require determining loose weights, vulnerable to subjective factors in evaluation.
Principal component analysis literature by Zhou Shao uses departmental dispersion to increase the objectivity and quality of evaluations. Based on the simple PENGJIAKUANG principal component basis, six female City Square hospital waiting room health monitoring data sets were analyzed. Principal component analysis and the TOPSIS method were used to handle the order of the hospital's health status, comparing the advantages and disadvantages of both methods. This provides a basis for health rating agencies to choose appropriate indicators based on actual conditions and requirements.
1.1 Principles and Methods of Principal Component Analysis: Set to be the principal component analysis, 30 indicators:,, ..., t - Total H cases sample observations are scattered according to Table 1. Each indicator is transformed according to formula (1), converting each sample index value to standardized indicators, i.e., r； (； 1, ugg outlet, 2, ... ,). (1) and s respectively, ghd prezzi, the IJ’s mean and the standard differential . , Are scattered 0t variance table 1 10 indicators observed values of n cases principal component analysis is less comprehensive indicators of ZO = 1,2, ..., P, sound ≤ daub) reflect the original index (J = 1,2, ... daub) information contained in the actual establishment of standardized indicators index Z. Equation； rZ1； +6 L2: + ... +6 llJz2 = such as +6122 + ... +6 n (2) ... lZ；, the L1 +6: + ... +6 which zZ ..., z-points cut indemnity for the first the second principal component of the principal component t, ..., Lu Zhucheng points. zl contains the total amount of information of the original indicators, namely the variance amount is too, and with other Z. (= 2,3, canada goose jakke, ..., canada goose, households) has nothing to do； z. L} Z outside the mining variance amount is too.