Applications of Intelligent and Fuzzy Theory in Data Science

  in Special Issue   Posted on June 3, 2020

Information for the Special Issue

Submission Deadline: Wed 30 Sep 2020
Journal Impact Factor : 4.406
Journal Name : International Journal of Fuzzy Systems
Journal Publisher:
Website for the Special Issue: https://www.springer.com/journal/40815/updates/17750412
Journal & Submission Website: https://www.springer.com/journal/40815

Special Issue Call for Papers:

Special Issue Editors

Dr. Fuyuan Xiao
Southwest University, China
E-Mail: xiaofyswu@163.com

Prof. Masayoshi Aritsugi
Kumamoto University, Japan
E-Mail: aritsugi@cs.kumamoto-u.ac.jp

Prof. Jemal H. Abawajy
Deakin University, Australia
E-Mail: jemal.abawajy@deakin.edu.au

Dr. Zehong Cao
University of Tasmania, Australia
E-Mail: zhcaonctu@gmail.com

Prof. Rami Al-Hmouz
King Abdulaziz University, Saudi Arabia
E-Mail: ralhmouz@kau.edu.sa

Prof. Peide Liu
Shandong University of Finance and Economics, Jinan, China
E-Mail: peide.liu@gmail.com

Special Issue Information

Intelligent and fuzzy theory is the study on establishing the theory, algorithm, and systematic method to deal with the complex information science and technology issues. It represents a cross-section of research in information technologies and artificial intelligence areas that touch both social sciences and engineering technologies. It has broad application prospects in intelligent systems, control and synchronization, medical and fault diagnosis systems, and so on. Data science is the study of the generalizable extraction of knowledge from data. It can be viewed as an amalgamation of classical disciplines like statistics, data mining, databases, and distributed systems. “Applications of intelligent and fuzzy theory in data science” is an interdisciplinary area focusing upon methodologies for extracting useful intelligent systems and its applications under uncertain environment.

This special issue reports some of the innovative research for the applications of intelligent and fuzzy theory in data science. A special emphasis will be on fuzzy logic and fuzzy systems, evidence theory, evidential reasoning, data analysis, knowledge discovery, information aggregation and fusion, multi-criteria decision making, multisource information fusion, etc. Main application areas include, but are not limited to: bioinformatics, business and finance, healthcare, sensors, automation, mobile robotics, manufacturing, logistics, electrical and power engineering, infrastructure and transportation, several engineering fields (e.g. environmental, electrical, civil, etc.)

Manuscript Submission Information

All manuscripts must be submitted through the manuscripts system at https://www.editorialmanager.com/ijfs/default.aspx

Please select the designated special issue (SI) in the additional information Questionnaire (the fourth step).

A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page.

Timetable

Deadline for manuscript submissions: 30 September 2020
Notification of acceptance:  31 January 2021
Publication date: March 2021

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