Transactions on Rough Sets XVIII / edited by James F. Peters, Andrzej Skowron, Tianrui Li, Yan Yang, JingTao Yao, Hung Son Nguyen.

Format
Book
Language
English
Εdition
1st ed. 2014.
Published/​Created
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Description
1 online resource (IX, 131 p. 19 illus.)

Details

Subject(s)
Editor
Series
Summary note
The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets and theory of evidence. Volume XVIII includes extensions of papers from the Joint Rough Set Symposium (JRS 2012), which was held in Chengdu, China, in August 2012. The seven papers that constitute this volume deal with topics such as: rough fuzzy sets, intuitionistic fuzzy sets, multi-granulation rough sets, decision-theoretic rough sets, three-way decisions and their applications in attribute reduction, feature selection, overlapping clustering, data mining, cost-sensitive learning, face recognition, and spam filtering.
Notes
Bibliographic Level Mode of Issuance: Monograph
Source of description
Description based on publisher supplied metadata and other sources.
Language note
English
Contents
  • On the Intuitionistic Fuzzy Topological Structures of Rough Intuitionistic Fuzzy Sets
  • Feature Selection with Positive Region Constraint for Test-cost-sensitive Data
  • A Rough Neurocomputing approach for Illumination Invariant Face Recognition System
  • Variable Precision Multigranulation Rough Set and Attributes Reduction
  • Three-way Decisions Versus Two-way Decisions on Filtering Spam Email
  • A Three-way Decisions Approach to Density-based Overlapping Clustering
  • Three-way Decisions in Stochastic Decision-Theoretic Rough Sets.
ISBN
3-662-44680-4
OCLC
  • 889749716
  • 1228641200
Doi
  • 10.1007/978-3-662-44680-5
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