topsis综合评价模型

TOPSIS（Technique for Order Preference by Similarity to an Ideal Solution）模型，中文叫做"逼近理想解排序方法"，是一种距离综合评价方法。该模型通过假设正理想解和负理想解，测算各样本与这两个解的距离，从而得到样本与理想方案的相对贴近度，进而进行优劣排序。具体步骤包括确定正理想解和负理想解，计算样本与这两个解的距离，计算样本的相对贴近度，最后进行排序。\[1\]\[2\]\[3\]
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- *1* [数学建模之：TOPSIS综合评价模型python代码](https://blog.csdn.net/qq_52897257/article/details/124136980)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [数学建模——评价模型之TOPSIS](https://blog.csdn.net/muhuazuishuai/article/details/122436694)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [数学建模-Topsis综合评价（评价模型）](https://blog.csdn.net/ASHIYI66/article/details/119249082)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insert_down1,239^v3^insert_chatgpt"}} ] [.reference_item]
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