Deviation maximization-based program evaluation system and method

Abstract

The invention provides a deviation maximization-based program evaluation system and method. The deviation maximization-based program evaluation system comprises an input unit used for inputting a to-be-evaluated program and evaluation indexes, a program index attribute space establishment unit used for obtaining a decision matrix according to a computational formula of the to-be-evaluated program and evaluation indexes, and performing standardized processing, a program evaluation model establishment unit used for establishing a target optimization model according to a deviation function, an optimal solution determination unit used for solving an optimal solution of the program evaluation model by adopting a lagrangian multiplier method, and an obtaining unit used for obtaining a comprehensive evaluation value of each program according to rating information and the optimal solution of each to-be-evaluated program. By adoption of the deviation maximization-based program evaluation system and method, the data information of the to-be-evaluated programs can be fully reflected, scientific empowerment of the evaluation indexes is realized, and the program evaluation accuracy is improved.

Description

technical field [0001] The present invention relates to the field of radio and television, and more specifically, to a program evaluation system and method based on maximization of dispersion. Background technique [0002] In the field of broadcasting and television, multiple indicators are usually used to evaluate users' preferences for programs, and the assignment of evaluation index weights is an important part of multi-objective decision-making. The weight of the index is the reflection of the different importance of the index in the evaluation process, and it is a comprehensive measure of the subjective evaluation and objective reflection of the relative importance of the index in the decision (or evaluation) problem. Whether the weight assignment is reasonable or not plays a vital role in the scientific rationality of the evaluation results; if the weight of a certain factor changes, it will affect the entire evaluation result. Therefore, the assignment of weights mus...

AI Technical Summary

Problems solved by technology

Its disadvantage is that it ignores the subjective preference information such as the subjective knowledge and experience of the decision maker, and sometimes the weight coefficient is unreasonable.

Images