tianchi-2025-DHHFLTS-PowerGrid

该数据集的结构如表示例，包含以下核心字段：
Expert： 参与评价的专家匿名标识符。
Alternative： 待评价的备选方案编号。
Criterion： 评价所依据的属性名称。
Evaluation 1​ 与 Evaluation 2： 专家针对特定备选方案在特定属性上给出的双层犹豫模糊语言评价对，刻画了评价的核心倾向与犹豫程度。
数据预处理工作主要包括：属性类型统一（确保所有属性均为收益型）和专家身份匿名化。

The structure of this dataset is illustrated in the sample table, which includes the following core fields:
Expert: Anonymous unique identifier of the expert participating in the evaluation.
Alternative: Serial number of the alternative solution to be evaluated.
Criterion: Name of the attribute based on which the evaluation is conducted.
Evaluation 1 and Evaluation 2: Two-level hesitant fuzzy linguistic evaluation pairs provided by experts for a specific alternative under a specific attribute, which characterize the core tendency and hesitation degree of the evaluation.
The main data preprocessing steps include unifying attribute types (ensuring all attributes are benefit-type) and anonymizing expert identities.

搜集汇总

背景与挑战

背景概述

该数据集名为tianchi-2025-DHHFLTS-PowerGrid，其结构包含专家标识、备选方案、属性和双层犹豫模糊语言评价对等核心字段，用于刻画评价倾向与犹豫程度。数据预处理包括统一属性类型为收益型和专家身份匿名化处理。数据集以Excel文件格式提供，大小为29.77KB。