International Journal of Intelligent Systems

Special Issue on
“Fuzzy Collaborative Intelligence and Systems”

Aim
Multiple analyses of a problem from diverse perspectives raise the chance that no relevant aspects of the problem will be ignored. In addition, as internet applications become widespread, dealing with disparate data sources is becoming more and more popular. Technical constraints, security issues, and privacy considerations often limit access to some sources. Therefore, the concepts of collaborative computing intelligence and collaborative fuzzy modeling have been proposed, and certain so-called fuzzy collaborative systems are being established. In a fuzzy collaborative system, some experts, agents, or systems with various backgrounds are trying to achieve a common target. Since they have different knowledge and points of view, they may use various methods to model, identify, or control the common target. The key of such a system is that these experts, agents, or systems share and exchange their observations, settings, experiences, and knowledge each other when achieving the common goal. This features the fuzzy collaborative system distinct from the ensemble of multiple fuzzy systems.
In the limited literature, fuzzy collaborative intelligence and systems have been successfully applied to collaborative clustering, group forecasting, agent negotiation, assessment and reputation, information filtering, robot control, intrusion detection, object tracking, etc. Applications of fuzzy collaborative intelligence in other fields remain to be investigated. Several studies have argued that for certain problems, a fuzzy collaborative intelligence approach is more precise, accurate, efficient, safe, and private than typical approaches.
This special issue is intended to provide technical details of the development of fuzzy collaborative intelligence, fuzzy collaborative systems, and the corresponding applications. These details will hold great interest for researchers in information engineering, information management, artificial intelligence, and computational intelligence, as well as for practicing managers and engineers. This special issue features a balance between state-of-the-art research and practical applications. This special issue also provides a forum for researchers and practitioners to review and disseminate quality research work on fuzzy collaborative intelligence, fuzzy collaborative systems, the applications of this technology, and the critical issues for further development.

Topics
Topics of interest include, but are not limited to:
- Fuzzy collaborative intelligence
- Fuzzy collaborative systems
- Fuzzy collaborative assessment and reputation
- Fuzzy collaborative clustering
- Rough-fuzzy collaborative clustering
- Fuzzy collaborative control
- Fuzzy collaborative design
- Fuzzy collaborative filtering
- Fuzzy collaborative forecasting
- Fuzzy collaborative planning
- Implementation procedure
- Communication, negotiation protocol
- Quality of collaboration
- Applications of fuzzy collaboration

Target Dates
Submission Deadline: October 31, 2014
Notification of the Initial Decision: November 30, 2014
Notification of Acceptance: January 1, 2015
Final Paper Due: March 31, 2015

Submission Guidelines
Quality and originality of the contribution are the main acceptance criteria. Manuscripts must be submitted via e-mail to one of the guest editors.
For journal information and author guidelines, please visit
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1098-111X

Guest Editors
Toly Chen, Ph.D.
Distinguished Professor
Department of Industrial Engineering and Systems Management
Feng Chia University
100, Wenhwa Rd., Seatwen, Taichung City, Taiwan
tolychen@ms37.hinet.net; tcchen@fcu.edu.tw
http://tolychen.myweb.hinet.net

T. Warren Liao, Ph.D.
Professor
Department of Mechanical and Industrial Engineering
Louisiana State University
USA
E-mail: ieliao@lsu.edu
URL: http://www.cmie.lsu.edu/people/Faculty/Liao/default.html

Fusheng Yu, Ph.D.
Professor
School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, Ministry of Education, Beijing Normal University, Beijing 100875, China
yufusheng@263.net