Granular Computing

杂志介绍

Granular Computing杂志介绍

《Granular Computing》是一本以English为主的未开放获取国际优秀期刊，中文名称粒度计算，本刊主要出版、报道领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。最新CiteScore 指数为10.7。

本刊近期中国学者发表的论文主要有：

• Enhancing drug-drug interaction prediction by three-way decision and knowledge graph embedding

  Author: Hao, Xinkun; Chen, Qingfeng; Pan, Haiming; Qiu, Jie; Zhang, Yuxiao; Yu, Qian; Han, Zongzhao; Du, Xiaojing

• Feature ranking based on an improved granular neural network

  Author: Song, Mingli; Hu, Liansheng; Feng, Shuang; Wang, Yongbin

• Bearing fault diagnosis algorithm based on granular computing

  Author: Wang, Xiaoyong; Yang, Jianhua; Lu, Wei

• Extended CODAS method for multi-attribute group decision-making based on 2-tuple linguistic Fermatean fuzzy Hamacher aggregation operators

  Author: Akram, Muhammad; Niaz, Zohra; Feng, Feng

英文介绍

Granular Computing杂志英文介绍

Granular Computing is an international academic journal dedicated to the field of granular computing. It is a new concept and computational paradigm in information processing that involves the study of all theories, methods, techniques, and tools related to granularity. As a superset of fuzzy logic, rough set theory, quotient space theory, and interval computation, granular computing plays an important role in handling fuzzy, incomplete, imprecise, and massive information, and is one of the hotspots in the field of artificial intelligence research. The purpose of this journal is to publish the latest research results in granular computing and related fields, including theoretical development, algorithm design, and application case studies. Through these studies, the journal aims to promote scientific progress in the field of granular computing and provide a platform for academia and industry to exchange the latest research findings. The importance of magazines lies in their potential contribution to enhancing data processing capabilities, optimizing decision-making processes, and promoting the development of intelligent systems.

The magazine covers a wide range of research areas, including but not limited to theoretical research on multi-level granularity structures, the establishment of granularity computing models, and the application of these theories and models in various practical problems. The journal encourages interdisciplinary research, especially those that can reveal new principles of granular computing or improve existing algorithms. In addition, the journal also focuses on the integration of granular computing with other computing paradigms such as machine learning, data mining, and cognitive science.