1, according to the evaluation, choose the appropriate evaluation indicators, which are very representative, distinctive and often measurable. The selection of evaluation indicators is mainly based on professional knowledge, that is to say, according to relevant professional theories and practices, it is of course good to analyze the results of various evaluation indicators and select representative ones. This evaluation index system and independent indicators have certain differences in ability.

2, according to the evaluation purpose, determine the relative importance of each evaluation index in an evaluation or the weight of each index;

3. Reasonably determine the evaluation grade and boundary of each single index;

4. Select the appropriate comprehensive evaluation method according to the evaluation purpose and data characteristics, and establish a comprehensive evaluation model based on historical data;

5. Determine the grade and quantitative limit of multi-index comprehensive evaluation. In the application practice of comprehensive evaluation of similar things, the selected evaluation model is constantly inspected, modified and supplemented to make it scientific, practical and advanced, and can be popularized and applied.

Extended data:

There are many different methods for comprehensive evaluation:

1, comprehensive index method:

The comprehensive index method is to synthesize first and then compare the average. Its greatest advantage lies in that it can not only reflect the overall change direction and degree of complex economic phenomena, but also accurately and quantitatively explain the actual economic effects caused by the change of phenomena. But the original materials are required to be complete. The average index method is a method of comparison before comprehensive average. Although it cannot directly explain the absolute effect of phenomenon change, it is more flexible than the comprehensive index method and easy to use in practical work.

2.TOPSIS method:

Its basic principle is to sort the evaluation objects by detecting the distance between them and the optimal solution and the worst solution. If the evaluation object is closest to the optimal solution and farthest from the worst solution, it is the best. Otherwise, it is not optimal. Among them, each index value of the optimal solution reaches the optimal value of each evaluation index. Each index value of the worst solution reaches the worst value of each evaluation index.

3. Analytic Hierarchy Process:

Using analytic hierarchy process has many advantages, among which simplicity is the most important. Ahp is not only suitable for uncertain and subjective information, but also allows the logical application of experience, insight and intuition. Perhaps the greatest advantage of AHP is that it presents the hierarchy itself, which enables buyers to seriously consider and measure the relative importance of indicators.

In addition, there are RSR method, fuzzy comprehensive evaluation method and grey system method. These methods have their own characteristics, advantages and disadvantages.

References:

Baidu Encyclopedia-Comprehensive Index Method

References:

Baidu encyclopedia -—TOPSIS method

References:

Baidu encyclopedia-analytic hierarchy process

References:

Baidu Encyclopedia-Mathematical Modeling