1. In mathematics, weight is the quantitative distribution of the importance of different aspects of the evaluated object in the evaluation process, and the role of each evaluation factor in the overall evaluation is treated differently. In fact, an evaluation without focus is not an objective evaluation.
for instance
For example, if you give a thing a score of 100 and your boss gives it a score of 60, if it is average, it is (100+60)/2 = 80. However, because the boss says more than you, if the boss's weight is 2 and you are 1, then the average is the weight. If the boss's weight is 1 and your weight is 3, the result is (100 * 3+60 *1)/(1+3) = 90. This is the average calculated according to different weights, so it is also called weighted average.
2. The weight of the mobile phone number is that the ranking or quality of the mobile phone is too low.
Weight is a scoring mechanism of comprehensive ranking, that is, a scoring system. The higher the score, the higher the weight, and the higher the ranking relative to the baby. The score determines the weight, and the weight determines the baby's ranking.
What does weight mean?
1 answers
What does weight mean?
1 answers
1.8 million reading
K geha
20 19-06-23
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Weight refers to the importance of a factor or index relative to something, which is different from the general proportion. It not only reflects the percentage of a factor or index, but also reflects the relative importance of a factor or index, and often contributes or is important. Usually, we can judge and calculate the weight by dividing multi-level indicators. The commonly used methods are AHP, fuzzy method, fuzzy AHP and expert evaluation method. There are several ways to set the weight:
1. Subjective experience method: the evaluator directly sets the weight of indicators according to his past experience, which is generally applicable when the evaluator is very familiar with and understands the evaluation object.
2. Queue classification of primary and secondary indicators: This is a commonly used method, also known as A, B and C classification. As the name implies, its specific operation is divided into two steps: queuing and setting weights: queuing is to arrange all indicators in the evaluation index system according to certain standards, such as their importance; Setting the weight is to set the weight according to the indicators of A, B and C on the basis of queuing.
3. Expert survey method: This method employs relevant experts to conduct in-depth research on the evaluation index system. Each expert independently sets the weight of the evaluation index, and then averages the weight of each evaluation index as the final weight. For the same indicator, different departments and personnel, the weight of each indicator should be different; Data from different sources have different weights. In the practice of evaluation, we should use a variety of methods to scientifically set the index weight. The usual practice is to set indicators mainly according to their importance and adjust them as needed. Extended data:
Website: weight is a professional name, which generally refers to Baidu weight. Weight for webmasters, generally refers to Baidu weight. Is the concept of Baidu's importance index for a website. However, because the third-party tool platform webmaster tool uses Baidu weight to develop reference data, many novices mistakenly think that it is the real Baidu weight. In fact, that's just a reference data, and it doesn't represent Baidu's true weight index for a website. The factors that affect the weight are: 1, the value of domain name 2, the stability of website server 3, the time of website establishment 4, the quality of website content 5, the frequency of website update 6, whether the website has high integrity, whether the website has detailed contact information, copyright description, company introduction, company phone number, fax number, address and other detailed and clear information, so that visitors can trust the website, and then the website is also on the search engine. 7, website bounce rate, exit rate