RSFS 2015 - Special Issue on Rough Sets and Fuzzy Sets
Topics/Call fo Papers
Soon we will celebrate the 50th anniversary of Professor Lotfi Zadeh's first publication on fuzzy sets. Rough sets emerged more than 30 years ago as another major mathematical approach for managing uncertainty that arises from inexact, noisy, or incomplete information.
Over the years it was recognized that the two approaches can work nicely as complementary. Many methods based on combination of both approaches were developed, often with a significantly better performance than those obtained by using them separately. The obtained results were published in dedicated books, journal special issues, as well as many regular journal articles and conference papers.
The aim of this special issue is to (i) characterize the state of the art of methods based on combination of fuzzy sets and rough sets, (ii) present new methods based on combination of rough sets and fuzzy sets, (iii) show the future perspectives for such methods, in particular in the face of new challenges emerging nowadays when we are dealing with big data, web of things or cyber-physical systems as well as new computing models. Also papers dedicated to new aspects of comparison of rough sets and fuzzy sets are welcome.
Topics of interest include but are not limited to:
Comparison of rough sets and fuzzy sets
Methods based on combination of rough sets and fuzzy sets in pattern recognition
Methods based on combination of rough sets and fuzzy sets in data mining
Methods based on combination of rough sets and fuzzy sets in granular computing
Methods based on combination of rough sets and fuzzy sets with other approaches in soft computing
Challenges for rough sets and fuzzy sets in emerging applications
Important Dates:
Deadline for abstract proposal: December 31, 2014
Deadline for submissions: February 28, 2015
First review decision: April 30, 2015
Revised review decision: July 30, 2015
Final manuscript due: August 31, 2015
Guest Editors:
Prof. Chris Cornelis
University of Granada
Dept. of Computer Science and AI
Centro de Investigación en Tecnologías de la Información y las Comunicaciones (CITIC)
18071 Granada, Spain
E-mail: Chris.Cornelis-AT-decsai.ugr.es
Prof. Hung Son Nguyen
Institute of Mathematics, University of Warsaw
Banacha 2, 02-097 Warsaw, Poland
Email: son-AT-mimuw.edu.pl
Prof. Sankar K. Pal
Center for Soft Computing Research, Indian Statistical Institute
203 Barrackpore Trunk Road, Kolkata 700 108, India
Email: sankar-AT-isical.ac.in
Prof. Wei-Zhi Wu
School of Mathematics, Physics and Information Science, Zhejiang Ocean University
Zhoushan, Zhejiang 316022, PR China
Email: wuwz-AT-zjou.edu.cn
Prof. Andrzej Skowron
Institute of Mathematics, University of Warsaw
Banacha 2, 02-097 Warsaw, Poland
Email: skowron-AT-mimuw.edu.pl
Over the years it was recognized that the two approaches can work nicely as complementary. Many methods based on combination of both approaches were developed, often with a significantly better performance than those obtained by using them separately. The obtained results were published in dedicated books, journal special issues, as well as many regular journal articles and conference papers.
The aim of this special issue is to (i) characterize the state of the art of methods based on combination of fuzzy sets and rough sets, (ii) present new methods based on combination of rough sets and fuzzy sets, (iii) show the future perspectives for such methods, in particular in the face of new challenges emerging nowadays when we are dealing with big data, web of things or cyber-physical systems as well as new computing models. Also papers dedicated to new aspects of comparison of rough sets and fuzzy sets are welcome.
Topics of interest include but are not limited to:
Comparison of rough sets and fuzzy sets
Methods based on combination of rough sets and fuzzy sets in pattern recognition
Methods based on combination of rough sets and fuzzy sets in data mining
Methods based on combination of rough sets and fuzzy sets in granular computing
Methods based on combination of rough sets and fuzzy sets with other approaches in soft computing
Challenges for rough sets and fuzzy sets in emerging applications
Important Dates:
Deadline for abstract proposal: December 31, 2014
Deadline for submissions: February 28, 2015
First review decision: April 30, 2015
Revised review decision: July 30, 2015
Final manuscript due: August 31, 2015
Guest Editors:
Prof. Chris Cornelis
University of Granada
Dept. of Computer Science and AI
Centro de Investigación en Tecnologías de la Información y las Comunicaciones (CITIC)
18071 Granada, Spain
E-mail: Chris.Cornelis-AT-decsai.ugr.es
Prof. Hung Son Nguyen
Institute of Mathematics, University of Warsaw
Banacha 2, 02-097 Warsaw, Poland
Email: son-AT-mimuw.edu.pl
Prof. Sankar K. Pal
Center for Soft Computing Research, Indian Statistical Institute
203 Barrackpore Trunk Road, Kolkata 700 108, India
Email: sankar-AT-isical.ac.in
Prof. Wei-Zhi Wu
School of Mathematics, Physics and Information Science, Zhejiang Ocean University
Zhoushan, Zhejiang 316022, PR China
Email: wuwz-AT-zjou.edu.cn
Prof. Andrzej Skowron
Institute of Mathematics, University of Warsaw
Banacha 2, 02-097 Warsaw, Poland
Email: skowron-AT-mimuw.edu.pl
Other CFPs
- Special Issue on Theory and Practice of Pairwise Comparisons
- Special Issue on Grammatical Inference Fundamenta Informaticae
- 2nd International Conference on Remote Sensing Applications in Tropical and Subtropical Areas (RSATSA)
- Mobile World Congress (#MWC15)
- 12th IEEE India International Conference on Electronics, Energy, Environment, Communication, Computer, Control, (E3-C3)
Last modified: 2015-02-13 22:47:28