A novel three-way heterogeneous multi-attribute group decision method based on LINMAP for college teacher introductionA novel three-way heterogeneous multi-attribute group decision method based on LINMAP for college teacher introductionWan et al.
被引:0
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作者:
Shu-Ping Wan
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机构:
Shang University of Engineering Science,School of ManagementShang University of Engineering Science,School of Management
Shu-Ping Wan
[1
]
Yu Gao
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h-index: 0
机构:
Shang University of Engineering Science,School of ManagementShang University of Engineering Science,School of Management
Yu Gao
[1
]
Jiu-Ying Dong
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机构:
Shanghai Institute of Technology,School of ScienceShang University of Engineering Science,School of Management
Jiu-Ying Dong
[2
]
机构:
[1] Shang University of Engineering Science,School of Management
[2] Shanghai Institute of Technology,School of Science
College teacher introduction;
Multi-attribute group decision-making;
Three-way decisions;
LINMAP (Linear Programming Technique for Multidimensional Analysis of Preference);
D O I:
10.1007/s10489-025-06369-6
中图分类号:
学科分类号:
摘要:
With dramatic development of Chinese social economics and higher education, college teacher introduction has become an urgent and important problem, which is a type of heterogeneous multi-attribute group decision-making (HMAGDM). This article erects a novel three-way decision (TWD) model based on LINMAP (Linear Programming Technique for Multidimensional Analysis of Preference) to handle HMAGDM and applies to college teacher introduction. Firstly, combining evaluation matrices with alternatives’ preferences offered by decision makers (DMs), we define the individual consistency and inconsistency indexes, group consistency and inconsistency indexes. In terms of the individual consistency and inconsistency indexes, the weights of DMs are determined through establishing a bi-objective mathematical optimization model. As per the group consistency and inconsistency indexes, we build a bi-objective optimization model to derive the attribute weights and the fuzzy ideal solutions (FISs) which are employed to calculate the relative profit functions. Using the DMs’ weights, we could obtain the collective overall profit functions of alternatives and the thresholds. The conditional probability of each alternative is acquired according to the relative closeness coefficient. The classification rules and decision results are further induced based on maximum-profit decision principle. An example of college teacher introduction is illustrated to verify the efficacy of the erected method.
机构:
School of Mathematical Sciences, Huaqiao University, QuanzhouSchool of Mathematical Sciences, Huaqiao University, Quanzhou
Wu J.
Huang Z.
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机构:
School of Mathematical Sciences, Huaqiao University, QuanzhouSchool of Mathematical Sciences, Huaqiao University, Quanzhou
Huang Z.
Li J.
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h-index: 0
机构:
School of Mathematical Sciences, Huaqiao University, Quanzhou
School of Mathematics and Statistics, Minnan Normal University, ZhangzhouSchool of Mathematical Sciences, Huaqiao University, Quanzhou
Li J.
Liu D.
论文数: 0引用数: 0
h-index: 0
机构:
School of Mathematical Sciences, Huaqiao University, QuanzhouSchool of Mathematical Sciences, Huaqiao University, Quanzhou
机构:
Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
Wuhan Univ, Hubei Key Lab, Computat Sci, Wuhan 430072, Peoples R ChinaWuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
Jiang, Haibo
Hu, Bao Qing
论文数: 0引用数: 0
h-index: 0
机构:
Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
Wuhan Univ, Hubei Key Lab, Computat Sci, Wuhan 430072, Peoples R ChinaWuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
机构:
School of Mathematics and Statistics, Wuhan University, Wuhan,430072, China
Computational Science, Hubei Key Laboratory, Wuhan University, Wuhan,430072, ChinaSchool of Mathematics and Statistics, Wuhan University, Wuhan,430072, China
Jiang, Haibo
Hu, Bao Qing
论文数: 0引用数: 0
h-index: 0
机构:
School of Mathematics and Statistics, Wuhan University, Wuhan,430072, China
Computational Science, Hubei Key Laboratory, Wuhan University, Wuhan,430072, ChinaSchool of Mathematics and Statistics, Wuhan University, Wuhan,430072, China