| 加权犹豫模糊偏好关系及其在群体决策中的应用 |
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| 引用本文： | 冯雪,耿生玲,李永明.加权犹豫模糊偏好关系及其在群体决策中的应用[J].山东大学学报(理学版),2023,58(3):39-47. |
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| 作者姓名： | 冯雪 耿生玲 李永明 |
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| 作者单位： | 1.青海师范大学计算机学院, 青海 西宁 810016;2.青海民族大学数学与统计学院, 青海 西宁 810007;3.藏语智能信息处理及应用国家重点实验室, 青海 西宁 810008;4.陕西师范大学计算机科学学院, 陕西 西安 710069 |
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| 基金项目： | 国家自然科学基金资助项目(61862055);国家重点研发计划资助项目(2020YFC1523305);青海省重点研发项目(2019-GX-162) |
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| 摘 要： | 考虑到犹豫模糊偏好关系更能全面地表征决策者的偏好信息, 将犹豫模糊偏好关系置于权重意义下, 定义了加权犹豫模糊偏好关系和乘性一致的加权犹豫模糊偏好关系,并设计了一种一致性调整算法, 用于检测和提高加权犹豫模糊偏好关系的一致性水平,最后给出基于加权犹豫模糊偏好关系(weighted hesitation fuzzy preference relation, WHFPR)的群决策方法, 并通过案例分析表明所提出方法的实用性和可行性。
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| 关 键 词： | 加权犹豫模糊偏好关系 乘性一致性 一致性指数 判定条件 群体决策 |
Weighted hesitation fuzzy preference relation and its application in group decision making |
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| FENG Xue,GENG Sheng-ling,LI Yong-ming.Weighted hesitation fuzzy preference relation and its application in group decision making[J].Journal of Shandong University,2023,58(3):39-47. |
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| Authors: | FENG Xue GENG Sheng-ling LI Yong-ming |
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| Institution: | 1. College of Computer Science and Technology, Qinghai Normal University, Xining 810016, Qinghai, China;2. College of Mathematics and Statics, Qinghai Minzu University, Xining 810007, Qinghai, China;3. The Key State Laboratory of Tibetan Intelligent Information Processing and Application, Xining 810008, Qinghai, China;4. College of Computer Science, Shaanxi Normal University, Xian 710069, Shaanxi, China |
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| Abstract: | Considering that the hesitant fuzzy preference relationship can more comprehensively represent the preference information of decision makers, by putting the hesitation fuzzy preference relationship in the sense of weight, the weighted hesitation fuzzy preference relation and multiplicative consistent weighted hesitation fuzzy preference relation are defined. At the same time, a convergent local consistency improvement process is designed to detect and improve the consistency level of weighted hesitant fuzzy preference relationship. It is more suitable to sovle the group decision-making problem, because the weighted hesitation fuzzy preference relation can fully reflect the preference information of decision makers and clearly reflect the importance of different preference degrees. Finally, a group decision-making is applied to the specific case, which shows that the proposed method is practical and feasible. |
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| Keywords: | weighted hesitation fuzzy preference relation multiplicative consistency consistency index determination condition group decision-making |
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