sql语句 六个指标采用熵值法计算得到权重的案例

好的，我来为您提供一下 SQL 语句六个指标采用熵值法计算得到权重的案例。

首先，我们需要创建一个表来存储每个指标在不同负载下的得分，例如：

CREATE TABLE performance_scores (
    id INT PRIMARY KEY,
    response_time FLOAT,
    concurrency_performance FLOAT,
    scalability FLOAT,
    security FLOAT,
    reliability FLOAT,
    maintainability FLOAT
);

然后，我们可以向该表中插入数据，例如：

INSERT INTO performance_scores (id, response_time, concurrency_performance, scalability, security, reliability, maintainability)
VALUES (1, 0.8, 0.7, 0.6, 0.9, 0.85, 0.7),
       (2, 0.7, 0.6, 0.5, 0.8, 0.75, 0.6),
       (3, 0.9, 0.8, 0.7, 0.95, 0.9, 0.8);

接下来，我们可以使用 SQL 语句来计算每个指标的熵值和信息熵权重，例如：

-- 计算每个指标的熵值
SELECT 
    -SUM(response_time * LOG(response_time)) / LOG(6) AS entropy_response_time,
    -SUM(concurrency_performance * LOG(concurrency_performance)) / LOG(6) AS entropy_concurrency_performance,
    -SUM(scalability * LOG(scalability)) / LOG(6) AS entropy_scalability,
    -SUM(security * LOG(security)) / LOG(6) AS entropy_security,
    -SUM(reliability * LOG(reliability)) / LOG(6) AS entropy_reliability,
    -SUM(maintainability * LOG(maintainability)) / LOG(6) AS entropy_maintainability
FROM performance_scores;

-- 计算每个指标的信息熵权重
SELECT 
    entropy_response_time / SUM(entropy_response_time) AS weight_response_time,
    entropy_concurrency_performance / SUM(entropy_concurrency_performance) AS weight_concurrency_performance,
    entropy_scalability / SUM(entropy_scalability) AS weight_scalability,
    entropy_security / SUM(entropy_security) AS weight_security,
    entropy_reliability / SUM(entropy_reliability) AS weight_reliability,
    entropy_maintainability / SUM(entropy_maintainability) AS weight_maintainability
FROM (
    SELECT 
        -SUM(response_time * LOG(response_time)) / LOG(6) AS entropy_response_time,
        -SUM(concurrency_performance * LOG(concurrency_performance)) / LOG(6) AS entropy_concurrency_performance,
        -SUM(scalability * LOG(scalability)) / LOG(6) AS entropy_scalability,
        -SUM(security * LOG(security)) / LOG(6) AS entropy_security,
        -SUM(reliability * LOG(reliability)) / LOG(6) AS entropy_reliability,
        -SUM(maintainability * LOG(maintainability)) / LOG(6) AS entropy_maintainability
    FROM performance_scores
) AS entropy_table;

最后，我们可以得到每个指标的权重值，从而进行性能评估。

以上就是 SQL 语句六个指标采用熵值法计算得到权重的案例。希望能对您有所帮助！