Abstract
Aiming at the problems of large evaluation error and low accuracy of determining the key degree of evaluation indicators in the existing evaluation of labor legal effectiveness, this paper designs a labor legal effectiveness evaluation algorithm for affirmative action against gender discrimination. Firstly, using hits degree, the degree of gender discrimination, and social influence, enterprise practice and government supervision and management are determined as the evaluation indexes of labor legal effectiveness in this paper, and on this basis, the labor legal effectiveness evaluation system against gender discrimination is designed. Then, the judgment matrix of the evaluation index of labor legal effectiveness against gender discrimination is constructed. After normalization, the weight of the evaluation index is calculated by entropy method, which lays a foundation for subsequent research. Finally, the tree enhanced Bayesian network is used to classify the labor legal effectiveness evaluation indicators, and the correlation between the indicators is determined through the Spearman rank correlation coefficient. Finally, the labor legal effectiveness evaluation model against gender discrimination is designed through the clustering algorithm, and the labor legal effectiveness evaluation indicators against gender discrimination are input to complete the effective evaluation. The experimental results show that the error of the evaluation algorithm is small, and the accuracy of determining the key degree of the evaluation index is high.
Highlights
The labor legal effectiveness evaluation model against gender discrimination is designed through the clustering algorithm, and the labor legal effectiveness evaluation indicators against gender discrimination are input to complete the effective evaluation. e experimental results show that the error of the evaluation algorithm is small, and the accuracy of determining the key degree of the evaluation index is high
In order to realize the design of labor legal effectiveness evaluation algorithm in this paper, firstly, we determine the labor legal effectiveness evaluation index against gender discrimination and build an effective evaluation system according to the determined labor legal effectiveness evaluation index against gender discrimination
An evaluation system of labor legal effectiveness against gender discrimination was designed, which is composed of constructing the judgment matrix of the evaluation index of labor legal effectiveness against gender discrimination
Summary
Received 24 November 2021; Revised 17 December 2021; Accepted 20 December 2021; Published 7 January 2022. En, the judgment matrix of the evaluation index of labor legal effectiveness against gender discrimination is constructed. We determine the evaluation index of labor legal effectiveness and construct the system against gender discrimination. Determination of Labor Legal Effectiveness Evaluation Index and System Construction against Gender Discrimination. In the key process of calculating the evaluation index by the algorithm, in the determination of the evaluation index of labor legal effectiveness against gender discrimination and the construction of the system, the hits degree is used to determine the degree of gender discrimination, social influence, enterprise practice, and government supervision and management as the evaluation index of labor legal effectiveness studied in this paper. Weight Calculation of Labor Legal Effectiveness Evaluation Index against Gender Discrimination. In formula (7), x represents a discrete set of attribute variables, and C represents class variables. ere is no parent node for this variable. e class variable is the parent of all the other attribute value variables x, which has at most one attribute variable. at is, any attribute variable other than the class variable C has two parents, and one of the parents is Evaluation index system of labor legal effect
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