Assessment Model Based on Factor Analysis and TOPSIS Method

Abstract

In this paper, a comprehensive evaluation index system was established based on the data set of Seyhanba, and the mutual influence was considered from two perspectives: its own and the surrounding influencing factors. Factor analysis method was used to merge the collected secondary indicators into primary indicators. Finally, on the basis of the first-level indicators, the TOPSIS entropy weighting method was used to calculate the comprehensive indicator scores. The results showed that the score was 0.2166 in 1991 and 0.5011 in 2010, which was about twofold increase. This data was studied and analyzed by factor analysis and TOPSIS entropy weighting, and the results obtained were good, with a view to providing some reference significance for other fields.