职称：教授

专业/研究领域：不确定性建模与智能计算、模糊测度及应用、决策理论与方法

教师简介

郭凯红，工学博士，教授，博士生导师，辽宁大学中青年骨干教师，主要研究方向：不确定性建模与智能计算、模糊测度及应用、决策理论与方法。最近5年，主持国家自然科学基金项目、教育部规划基金项目等3项；在模糊系统与人工智能领域国内外顶级及权威学术期刊EJOR、IEEE-TFS、IEEE-CYB、IEEE-IS、软件学报等发表研究论文15篇，出版学术专著1部，2019年入选ESI高被引论文1篇；研究论文多次获省、市学术成果一等奖；国家自然科学基金委项目函评专家，教育部学位中心学位论文评审专家，中国知网优秀论文评审专家，模糊系统与人工智能领域国际顶刊IEEE-TFS、IEEE-IS通讯审稿人。E-mail:guokh@126.com

 

讲授的课程、代表性论著成果及主持或完成的科研项目

l  近5年代表性论著

[1]   Kaihong Guo^*, Hao Xu.A unified framework for knowledge measure with application: From fuzzy sets through interval-valued intuitionistic fuzzy sets[J]. Applied Soft Computing, 2021, 109: 107539. (SCI, 二区TOP)

[2]   Kaihong Guo^*, Hao Xu.Preference and attitude in parameterized knowledge measure for decision making under uncertainty[J]. Applied Intelligence, 2021, 51(10): 7484-7493. (SCI, 二区)

[3]   Kaihong Guo^*.Expected value from a ranking of alternatives for personalized quantifier[J]. IEEE Intelligent Systems, 2019, 34(6): 24-33. (SCI, 二区)

[4]   Kaihong Guo^*,Hao Xu.Knowledge measure for intuitionistic fuzzy sets with attitude towards non-specificity[J]. International Journal of Machine Learning and Cybernetics, 2019, 10(7): 1657-1669. (SCI, 二区)

[5]   Kaihong Guo^*, Hao Xu. Personalized quantifier by Bernstein polynomials combined with interpolation spline[J]. International Journal of Intelligent Systems, 2018, 33(7): 1507-1533. (SCI, 二区)

[6]   Kaihong Guo^*. Quantifiers induced by subjective expected value of sample information with Bernstein polynomials[J]. European Journal of Operational Research, 2016, 254(1): 226-235. (SCI, 二区TOP)

[7]   Kaihong Guo^*. Knowledge measure for Atanassov’s intuitionistic fuzzy sets[J]. IEEE Transactions on Fuzzy Systems, 2016, 24(5): 1072-1078. (SCI, 一区TOP)

[8]   Kaihong Guo^*. Amount of information and attitudinal based method for ranking Atanassov’s intuitionistic fuzzy values[J]. IEEE Transactions on Fuzzy Systems, 2014, 22(1): 177-188. (SCI, 一区TOP)

[9]   Kaihong Guo^*. Quantifiers induced by subjective expected value of sample information[J]. IEEE Transactions on Cybernetics, 2014, 44(10): 1784-1794. (SCI, 一区)

[10] Kaihong Guo^*, Qi Song.On the entropy for Atanassov’s intuitionistic fuzzy sets: An interpretation from the perspective of amount of knowledge[J]. Applied Soft Computing, 2014, 24: 328-340. (SCI, 二区TOP)

[11] Kaihong Guo^*, Wenli Li. An attitudinal-based method for constructing intuitionistic fuzzy information in hybrid MADM under uncertainty[J]. Information Sciences, 2012, 208: 28-38. (SCI,一区, 2019年ESI高被引论文)

[12] 郭凯红,崔明茜,刘婷婷^*. 模糊知识测度下图像脉冲噪声去除方法[J]. 电子学报, 2023, 51(11): 3248-3261. (EI,CSCD,北核)

[13] 郭凯红,王紫晴^*. Hamming-Hausdorff距离下区间直觉模糊知识测度及应用[J]. 软件学报, 2022, 33(11): 4251-4267. (EI,CSCD,北核)

[14] 郭凯红,韩海龙^*. 基于偏好诱导量词的个性化推荐模型[J]. 计算机研究与发展, 2020, 57(1): 124-135. (EI,CSCD,北核)

[15] 郭凯红/著.群决策环境下不确定信息集成规则与决策要素获取方法[M].沈阳:辽宁大学出版社,2018.11.

l  近5年代表性科研项目

[1]   国家自然科学基金面上项目，71771110，直觉模糊知识测度：公理、模型及应用，2018.1-2021.12，已结题，主持

[2]   教育部社会科学规划基金项目，16YJA630014，个性化语义量词的知识表示与建模方法及其应用研究，2016.7-2019.10，已结题，主持