Fuzzy Logic, Formal Concept Analysis and Rough Sets

Fuzzy Logic, Formal Concept Analysis and  Rough Sets Theory are three important tools  in knowledge representation and knowledge discovery in relational information systems, since provide  theoretical frameworks allowing for the discovery and design of concept hierarchies within the system. Similarly, they can be used as a basis for conceptual data analysis and knowledge processing, apart from  formulating predictions.  The purpose of this Special Session is to study advances and  interactions among these three tools.
This is a Special Session at IPMU 2014, which will be held in Montpellier (France) on July 15-19, 2014.

Special session papers will be handled in the same way as regular papers. In particular, they will be
peer-reviewed by the conference program committee on the basis of the same criteria, and the final
decision of acceptance or rejection will be made by the conference chairs.

The length of papers is at most 10 pages in Springer LNCS format.

In the last editions, the conference proceedings were published by Springer-Verlag (LNAI/CCIS series).
The not exhaustive list of topics includes:
-fuzzy sets and fuzzy logic
-Rough sets
-fuzzy rough sets
-interval-valued fuzzy sets
-formal concept analysis
Important Dates
– December 31, 2013: Submission of papers (EXTENDED)
– February  24, 2014: Notification of acceptance
– March 31, 2014: Submission of camera-ready versions of accepted papers
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