Call for Papers: WCCI 2014 Special Session "Fuzzy and Rough Hybridization"

The idea of forming information entities based around some form of relatedness into granules, offers a universal and intuitive appeal. In recent years, rough set theory (RST) has generated a great deal of interest amongst researchers and has been applied to a wide variety of different domains (e.g. classification, information retrieval, rule-mining, etc.). The popularity of the theory is related to a number of appealing underlying characteristics, in particular those related to the granulation of data.

RST however, can only handle one type of imperfection to be found in data. Hybridisations with other Computational Intelligence techniques that are tolerant of imperfect data and knowledge such as fuzzy sets offer improved approaches for dealing with additional aspects of data imperfection. The integration of RST and other techniques therefore offers a high degree of flexibility and provides robust methods
and advanced tools for the analysis of data.

Objectives and Topics:

This session is proposed as a forum to:

• Draw together current original research in the fast-growing area of fuzzy and rough set hybridization.
• Promote the practical and theoretical extensions of fuzzy and rough hybridizations.
• Foster the integration of fuzzy and rough hybridizations with other computational intelligence techniques.

Novel practical or theoretical contributions describing advances and results are welcomed in all areas where fuzzy and rough set theory can be integrated.

Important Dates:

Deadline for Paper Submission: 20 December 2013
Notification of Acceptance/Rejection: 15 March 2014
Deadline for Final Paper Submission: 15 April 2014
Conference Dates: 6-11 July 2014

Organizers and Contact Information:

Name: Neil Mac Parthaláin
Email address: ncm@aber.ac.uk
Affiliation: Department of Computer Science, Aberystwyth University, Wales, UK.

Name: Richard Jensen
Email address: rkj@aber.ac.uk
Affiliation: Department of Computer Science, Aberystwyth University, Wales, UK.

Name: Qiang Shen
Email address: qqs@aber.ac.uk
Affiliation: Department of Computer Science, Aberystwyth University, Wales, UK.