Paper Info
Title
A Family Of Polymodal Systems And Its Application To Generalized Possibility Measures And Multi-Rough Sets
Abstract
Polymodal systems generally have large areas of applications to theoretical computer science including the theory of programming, while other applications are not yet fully explored. In this paper we consider a family of polymodal systems with the structure of lattices on the polymodal indices. After investigating theory of the polymodal systems such as the completeness, we study two applications. One is generalized possibility measures in which lattice-valued measures are proposed and relations with the ordinary possibility and necessity measures are uncovered. Second application is consideration of an information system as a table such as the one in the relational database. It is known that rough sets are used to discover regularities from such information tables. Applying polymodal logic concept, we generalize rough sets which are called multi-rough sets here. Our consideration is mainly to establish theoretical frameworks in these two application areas and hence no real examples are shown here.
Year
DOI
Venue
2006
10.20965/jaciii.2006.p0625
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
Keywords
Field
DocType
polymodal system, generalized possibility, measure, multi-rough set
Pattern recognition,Computer science,Rough set,Artificial intelligence
Journal
Volume
Issue
ISSN
10
5
1343-0130
Citations 
PageRank 
References 
1
0.41
0
Authors
3
Name
Order
Citations
PageRank
Sadaaki Miyamoto1722106.97
Tetsuya Murai218642.10
Yasuo Kudo39526.41