What is weight

Weight is a Chinese word, pronounced as quán zhòng. It refers to the importance of a certain factor or indicator relative to a certain thing. It is different from the general proportion and reflects It is not just the percentage of a certain factor or indicator, but the relative importance of the factor or indicator, tending to the degree of contribution or importance. (Recommended learning: web front-end video tutorial)

Usually, weight can be judged and calculated by dividing multiple levels of indicators. Commonly used methods include analytic hierarchy process, fuzzy method, Fuzzy analytic hierarchy process and expert evaluation method, etc.; the second refers to contribution; the third refers to rights and power.

Setting method

Generally speaking, there are the following methods for setting weights:

Subjective Experience method

The assessor directly sets the weight of the indicator based on his or her past experience, which is generally applicable when the assessor is very familiar with and understands the assessment object.

Primary and secondary indicator queuing classification method

This is a more commonly used method, also known as the A, B, C classification method. As the name suggests, the specific operation is divided into two steps: queuing and weight setting: queuing is to arrange all indicators in the assessment indicator system according to certain standards, such as according to their importance; setting weight is based on queuing, according to A, B, C three types of indicators set weights.

Expert Survey Method

This method is to hire relevant experts to conduct in-depth research on the assessment indicator system. Each expert will first independently set the weight of the assessment indicators. Then average the weight of each assessment indicator as the final weight.

For the same indicator, the weight of each indicator should be different for different departments and personnel; the weight of data from different sources should also be different. In assessment practice, various methods should be comprehensively used to scientifically set indicator weights. The usual approach is to set the indicators mainly based on their importance, and make timely adjustments as needed.

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