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Welcome to the International Rough Set Society
Written by Web Master   


 

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International Rough Set Society (IRSS) is a non-profit organisation intended as a forum for contacts and exchange of information between members of scientific community whose research is related to the Rough Set Theory.More...


Last Updated ( Saturday, 25 February 2012 )
 
2nd International Symposium on Fuzzy and Rough Sets
Written by Davide Ciucci   
October 24 - 26, 2017
Santa Maria Key, Villa Clara, Cuba

Aim and Scope

Fuzzy and rough set theories stand as two of the most prominent methodologies within the umbrella of Computational Intelligence to handle uncertainty in vague and inconsistent environments. They have enjoyed widespread success in a plethora of real-world application domains and remain at the forefront of numerous theoretical studies to consolidate and augment their well-established properties.

The second edition of the International Symposium on Fuzzy and Rough Sets (ISFUROS 2017) will take place at Valentin Perla Blanca Hotel, Santa Maria Key, in the province of Villa Clara, Cuba from October 24-26, 2017. It will be organized by the Universidad Central de Las Villas. ISFUROS 2017 aims at providing a forum for exchange on fuzzy and rough set theories and their applications. The symposium includes tutorials, invited key lectures and paper presentations.

ISFUROS 2017's goals are (1) to strengthen the relationships among researchers and institutions working on fuzzy and rough set theories, (2) to increase awareness of these topics among the Latin American research community and (3) to facilitate the contact between new researchers and consolidated groups.

Submission Topics

Submissions of original and previously unpublished work on fuzzy and rough set theories and applications are encouraged, see the website for details.


Important Dates

Paper submission: May 15, 2017
Notification to authors: June 30, 2017
Camera-ready version: August 30, 2017
Early registration: August 30, 2017
ISFUROS 2017: October 24-26, 2017
Last Updated ( Friday, 03 March 2017 )
 
SPECIAL SESSION Information Granulation in Data Science and Scalable Computing IEEE BIG DATA 2017
Written by Lukasz Sosnowski   
SPECIAL SESSION

Information Granulation in Data Science and Scalable Computing

IEEE BIG DATA 2017 CONFERENCE

December 11-14, 2017, Boston, MA, USA

 

BACKGROUND:

Granular Computing is a general computation approach for effectively using granules such as classes, clusters, sets, groups and intervals to build an efficient computational model for complex applications with huge amounts of data, information and knowledge. Though the label is relatively recent, the notions and principles of Granular Computing and Information Granulation, under different names, have appeared in many related fields, such as information hiding in programming, granularity in artificial intelligence, divide and conquer paradigms in theoretical computer science, interval computing, cluster analysis, fuzzy and rough set systems, neutrosophic computing, quotient spaces, belief functions, approximate analytics, approximate computing, and many others.

 

SESSION SCOPE:

Special Session on Information Granulation in Data Science and Scalable Computing will continue to address the issues related to Granular Computing and its applications. It will provide researchers from universities, laboratories and industry with the means to present state-of-the-art research results and methodologies in theory and applications. The session will also make it possible for scientists and developers to highlight their new research directions and new interactions with novel computing models. The session will focus particularly on currently important research tracks such as social network computing, cloud computing, cyber-security, data mining, machine learning, knowledge management, intelligent systems and soft computing (neural networks, fuzzy systems, evolutionary computation, rough sets, self-organizing systems), e-Intelligence (Web intelligence, semantic Web, Web informatics), bioinformatics and medical informatics.

 

HIGHLIGHTS:

-- The session is organized as a  part of the IEEE Big Data 2017 conference (December 11-14, Westin Copey Place, Boston, MA, USA), which is a well-established and highly competitive international event targeted at modern trends in big data processing and analytics.

-- The session is intended to be a forum for discussing concepts, issues, and methods by the leading researchers in the fundamental problems of Information Granulation and Granular Computing in an atmosphere promoting the exchange of ideas and viewpoints.

-- 10-page-long papers accepted to the session will be published in the IEEE Big Data 2017 conference proceedings, together with contributions submitted and accepted to the main conference track.

 

IMPORTANT DEADLINES:

-- Submission Deadline: September 22, 2017

-- Acceptance Notification: October 20, 2017

-- Camera-Ready: November 10, 2017

 

Special Session Organizers:

 

Shusaku Tsumoto

Department of Medical Informatics, Faculty of Medicine, Shimane University

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Tzung-Pei Hong

Department of Computer Science and Information Engineering, National University of Kaohsiung

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S. L. Wang

Department of Information Management, National University of Kaohsiung

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Dominik Slezak

Institute of Informatics, Faculty of Mathematics, Informatics and Mechanics, University of Warsaw

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Last Updated ( Thursday, 10 August 2017 )
 
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