FUZZ-IEEE 2017 Special Session

Rough sets and Fuzzy Rough Hybridization with bio-inspired optimization techniques

 

SPECIAL SESSION ORGANIZERS:

Ahmad Taher Azar, ahmad_t_azar (at) ieee.org
Valentina E. Balas, balas (at) drbalas.ro
Camelia Pintea, dr.camelia.pintea (at) ieee.org
Rabie A. Ramadan, rabie (at) rabieramadan.org 
Mario Pavone, mpavone (at) dmi.unict.it
Nicolaie Popescu-Bodorin, bodorin (at) ieee.org 

 

IMPORTANT DATES

         January 25, 2017: February 10th , 2017 Deadline for paper submission.

        March 10, 2017: Notification of acceptance for papers

        April 8, 2017: Deadline for camera-ready paper submission

 

DESCRIPTION

 

Rough set theory is a new mathematical approach to imperfect knowledge. Rough sets have been proposed for a very wide variety of applications. In particular, the rough set approach proved to be important for Artificial Intelligence and cognitive sciences, especially in machine learning, knowledge discovery, data mining, expert systems, approximate reasoning and pattern recognition. The objective of this special session is to showcase the real-world applications of hybridization of rough sets and fuzzy rough sets with bio-inspired optimization techniques and other methods of data exploration and approximate computation. The special emphasis will be put on hybrid solutions combining rough sets with other tools, as well as the importance of utilization of domain knowledge in the data mining and data processing solutions.

 

SCOPE AND TOPICS

 

The aim of this special session provides an opportunity for international researchers to share and review recent advances in the foundations, integration architectures, and applications of bio-inspired optimization techniques with rough set and fuzzy rough. The special session aims to solicit original, full length original articles on new findings and developments from researchers, academicians and practitioners from industries, in the area of rough set theory, fuzzy rough, granular computing, knowledge discovery and data mining.

 

 

The topics of interest include, but are not limited to:

        Rough set theory

        Fuzzy Rough

        Rough sets and near sets

        Bio-inspired Rough set

        Bio-inspired Fuzzy Rough set

        Swarm Optimization

        Data mining

        Rough fuzzy hybridization

        Granular computing theory and applications

        Granular rough-fuzzy networks

        Computing with words

        Approximate reasoning

        Machine learning

        Evolutionary computing

        Web intelligence and mining

WEBSITE: http://www.fuzzieee2017.org/

2017 IEEE International Conference on Fuzzy Systems

 

Paper Submission: FUZZ-IEEE 2017

http://www.fuzzieee2017.org/paperSubmission.html

 

 

The accepted papers to this special session will be published in the conference proceedings of FUZZ-IEEE published by the IEEE.