International Journal Of Approximate Reasoning SCIE

国际简称：INT J APPROX REASON 参考译名：国际近似推理杂志

主要研究方向：工程技术-计算机：人工智能非预警期刊审稿周期：约12月约12.3周

《国际近似推理杂志》(International Journal Of Approximate Reasoning)是一本由Elsevier Inc.出版的以工程技术-计算机：人工智能为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。

3区中科院分区
Q2 JCR分区
155 年发文量
3.2 IF影响因子
未开放 是否OA
85 H-index
1987 创刊年份
Bimonthly 出版周期
English 出版语言

The International Journal of Approximate Reasoning is intended to serve as a forum for the treatment of imprecision and uncertainty in Artificial and Computational Intelligence, covering both the foundations of uncertainty theories, and the design of intelligent systems for scientific and engineering applications. It publishes high-quality research papers describing theoretical developments or innovative applications, as well as review articles on topics of general interest.

Relevant topics include, but are not limited to, probabilistic reasoning and Bayesian networks, imprecise probabilities, random sets, belief functions (Dempster-Shafer theory), possibility theory, fuzzy sets, rough sets, decision theory, non-additive measures and integrals, qualitative reasoning about uncertainty, comparative probability orderings, game-theoretic probability, default reasoning, nonstandard logics, argumentation systems, inconsistency tolerant reasoning, elicitation techniques, philosophical foundations and psychological models of uncertain reasoning.

Domains of application for uncertain reasoning systems include risk analysis and assessment, information retrieval and database design, information fusion, machine learning, data and web mining, computer vision, image and signal processing, intelligent data analysis, statistics, multi-agent systems, etc.

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International Journal Of Approximate Reasoning期刊信息

ISSN：0888-613X
出版语言：English
是否OA：未开放
E-ISSN：1873-4731
出版地区：UNITED STATES
是否预警：否
出版商：Elsevier Inc.
出版周期：Bimonthly
创刊时间：1987
开源占比：0.1076
Gold OA文章占比：24.63%
OA被引用占比：0.0111...
出版国人文章占比：0.22
出版撤稿占比：0
研究类文章占比：100.00%

International Journal Of Approximate Reasoning CiteScore评价数据（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指数

6.9

0.877

1.5

学科类别	分区	排名	百分位
大类：Mathematics 小类：Applied Mathematics	Q1	47 / 635	92%
大类：Mathematics 小类：Theoretical Computer Science	Q1	22 / 130	83%
大类：Mathematics 小类：Software	Q2	111 / 407	72%
大类：Mathematics 小类：Artificial Intelligence	Q2	110 / 350	68%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

International Journal Of Approximate Reasoning中科院评价数据

中科院 2023年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	3区

中科院 2022年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	2区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	3区

中科院 2021年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	3区

中科院 2021年12月基础版

Top期刊	综述期刊	大类学科		小类学科
否	否	工程技术	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	4区

中科院 2021年12月升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	3区

中科院 2020年12月旧的升级版

Top期刊	综述期刊	大类学科		小类学科
否	否	计算机科学	3区	COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能	3区

International Journal Of Approximate Reasoning JCR评价数据（2023-2024年最新版）

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q2	84 / 197	57.6%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	SCIE	Q2	87 / 198	56.31%

International Journal Of Approximate Reasoning历年数据统计

影响因子

中科院分区

International Journal Of Approximate Reasoning中国学者发文选摘

1、A three-way clustering method based on improved density peaks algorithm and boundary detection graph
Author: Sun, Chen; Du, Mingjing; Sun, Jiarui; Li, Kangkang; Dong, Yongquan

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 153, Issue , pp. 239-257. DOI: 10.1016/j.ijar.2022.12.002
2、Semi-supervised feature selection for partially labeled mixed-type data based on multi-criteria measure approach
Author: Shu, Wenhao; Yu, Jianhui; Yan, Zhenchao; Qian, Wenbin

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 153, Issue , pp. 258-279. DOI: 10.1016/j.ijar.2022.11.020
3、Spatial-temporal single object tracking with three-way decision theory
Author: Wang, Ziye; Miao, Duoqian

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 154, Issue , pp. 38-47. DOI: 10.1016/j.ijar.2022.12.003
4、Rule acquisition in generalized multi-scale information systems with multi-scale decisions
Author: Wu, Wei-Zhi; Niu, Dongran; Li, Jinhai; Li, Tong -Jun

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 154, Issue , pp. 56-71. DOI: 10.1016/j.ijar.2022.12.004
5、An updated method of granular reduct based on cognitive operators in formal contexts
Author: Li, Zhong-Ling; Mi, Ju-Sheng; Zhang, Tao

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 154, Issue , pp. 72-83. DOI: 10.1016/j.ijar.2022.12.007
6、On the distributivity for the ordinal sums of implications over t-norms and t-conorms
Author: Zhao, Bin; Lu, Jing

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 152, Issue , pp. 284-296. DOI: 10.1016/j.ijar.2022.10.012
7、Multi-granularity sequential three-way recommendation based on collaborative deep learning
Author: Ye, Xiaoqing; Liu, Dun; Li, Tianrui

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 152, Issue , pp. 434-455. DOI: 10.1016/j.ijar.2022.11.011
8、A review of sequential three-way decision and multi-granularity learning
Author: Yang, Xin; Li, Yanhua; Li, Tianrui

Journal: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 2023; Vol. 152, Issue , pp. 414-433. DOI: 10.1016/j.ijar.2022.11.007