雜志介紹

Granular Computing雜志介紹

《Granular Computing》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱粒度計算，本刊主要出版、報道領域的研究動態(tài)以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)展。該刊已被國際權威數(shù)據(jù)庫SCIE收錄，為該領域相關學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。最新CiteScore 指數(shù)為10.7。

本刊近期中國學者發(fā)表的論文主要有：

• 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

英文介紹

Granular Computing雜志英文介紹

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.