张钦礼，男，河北廊坊人，教授，博士。

研究领域和方向：模糊集理论，粗糙集理论，证据理论，粒计算及人工智能等。

主讲课程：《离散数学》、《算法设计与分析》及《数据结构》等。

科研论文：

1.Q.L. Zhanget al.New uncertainty measurement for categorical data based on fuzzy information structures:an application in attribute reduction, Information Sciences,2021,中科院SCI一区；

2. Q.L. Zhang et al.Uncertainty measurement for single cell RNA-seq data based on class-consistent technology with application to semi-supervised gene selection, Applied SoftComputing, 2023,中科院SCI一区；

3. Q.L. Zhang et al.Attribute reduction algorithms with an anti-noise mechanism for hybrid data based on fuzzy evidence theory, Engineering Applications of Artificial Intelligence, 2024,中科院SCI二区；

4. Q.L. Zhang et al. Attribute reduction based on D-S evidence theory in a hybrid information system, International Journal of Approximate Reasoning, 2022,中科院SCI二区;

5. Q.L. Zhang et al. Attribute reduction for set-valued data based on D-S evidence theory, International Journal of General Systems, 2022,中科院SCI三区。