Picture hesitant fuzzy grey compromise relational bidirectional projection method with application in multi-attribute recommendation

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Wenchao Jiang, Xiaolei Yang, Yuqi Zang, Xumei Yuan, Rui Liu
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引用次数: 0

Abstract

In view of the technical defects of the existing grey relational projection method, a new grey compromise relational bidirectional projection method is proposed. By incorporating the information expression advantage of picture hesitant fuzzy number, the distance formula of picture hesitant fuzzy statistics is constructed based on the centralized trend measurement and discrete trend measurement in descriptive statistics. On this basis, a multi-attribute recommendation method of picture hesitant fuzzy grey compromise relational bidirectional projection is proposed by combining compromise idea and bidirectional projection technology. The validity and advantage of this method are verified by numerical analysis, which also suggested the rationality of the picture hesitant fuzzy statistical distance and the grey compromise relational bidirectional projection method.
图像犹豫模糊灰色折衷关系双向投影方法在多属性推荐中的应用
针对现有灰色关联投影方法存在的技术缺陷,提出了一种新的灰色折衷关联双向投影方法。结合图像犹豫模糊数的信息表达优势,基于描述性统计中的集中趋势度量和离散趋势度量,构建了图像犹豫模糊统计的距离公式。在此基础上,将折衷思想与双向投影技术相结合,提出了一种图像犹豫模糊灰色折衷关系双向投影的多属性推荐方法。通过数值分析验证了该方法的有效性和优越性,同时也说明了图像犹豫模糊统计距离法和灰色妥协关联双向投影法的合理性。
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来源期刊
Journal of Intelligent & Fuzzy Systems
Journal of Intelligent & Fuzzy Systems 工程技术-计算机:人工智能
CiteScore
3.40
自引率
10.00%
发文量
965
审稿时长
5.1 months
期刊介绍: The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
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