报告题目：An extended q-rung orthopair fuzzy multi-attribute decision-making method based on novel information measures and its real-world application

报 告 人：陈春芳 教授（南昌大学）

报告时间：2026年10月31日（星期六）18：00-18：50

报告地点：腾讯会议（会议号466204942）  

校内联系人： 朱传喜 教授   联系方式：84708351-8420

报告摘要：In multi-attribute group decision-making (MAGDM), q-rung orthopair fuzzy sets (q-ROFSs) provide a flexible framework for representing uncertain information. The reliability of MAGDM models under q-ROFSs largely depends on information measures, which directly affect weight determination, information aggregation, and alternative ranking. However, existing information measures for q-ROFSs still have notable limitations. Many entropy measures ignore hesitation information and may suffer from division-by-zero. Some score functions may yield counter-intuitive results and exhibit limited discrimination ability. These issues indicate the need for more reliable information measures and decision-making methods under q-ROFSs. Motivated by these limitations, we develops novel information measures of q-ROFSs and further develops an extended MAGDM method. Specifically, we establish a new axiomatic framework for uncertainty in q-ROFSs and propose an uncertainty measure that simultaneously captures hesitation and fuzziness. The proposed uncertainty measure is embedded into an optimization model to derive attribute weights. In addition, we propose a novel score function that considers hesitation and offers improved discrimination ability. The score function is integrated with the Criteria Importance Through Intercriteria Correlation (CRITIC) method to determine expert weights. Finally, an extended Weighted Aggregated Sum Product Assessment (WASPAS) method is adopted to rank alternatives. A case study on food waste treatment technology (FWTT) selection identifies anaerobic digestion as the optimal alternative. Comparison with eleven existing MAGDM methods demonstrates the effectiveness and reliability of the proposed method. Sensitivity analysis and data set experiments further confirm its robustness and practical applicability.

报告人简介：陈春芳，博士，教授。博士/硕士生导师，国家级教学团队带头人，国家级教学成果二等奖获得者，江西省一流本科课程负责人。陈春芳教授长期从事不动点理论、微分方程、决策与统计等方面的研究工作，近五年主持完成国家自然科学基金项目1项；主持完成江西省自然科学基金项目4项；主持完成江西省高等学校教学研究省级重点项目1项；主持完成江西省教育厅科学技术项目1项；参与完成国家自然科学基金项目2项；获得实用新型专利4项；获得全国大学生网络商务创新应用大赛总决赛优秀指导老师称号（2次）；获得江西省大学生数学建模竞赛优秀指导老师称号（4次）；获得国家级教学成果奖（二等奖，排名第四）；获得江西省教学成果奖（两次一等奖，排名分别为第二、第三）；获得江西省自然科学奖（三等奖，排名第三）；多次获得南昌大学授课质量优秀奖和授课质量优秀提名奖；指导学生参加全国大学生数学建模竞赛获得一等奖1项，二等奖2项；指导的硕士研究生毕业论文被评为江西省优秀硕士毕业论文(3篇)；在“Applied Mathematics Letters”、“Expert Systems With Applications”和“系统工程理论与实践”等国内外学术期刊上发表学术论文40多篇，其中30多篇被SCI、EI或CSSCI收录。