Rough Fuzzy Concept Lattice and Its Properties

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 367)

Abstract

Concept lattice and rough set theory, two different methods for knowledge representation and knowledge discovery, are successfully applied to many fields. Methods of fuzzy rule extraction based on rough set theory are rarely reported in incomplete interval-valued fuzzy information systems. Thus, this paper deals with the relationship of such systems and fuzzy concept lattice. The purpose of this paper is to study a new model called rough fuzzy concept lattice (RFCL) and its properties.

Keywords

Rough fuzzy concept lattice Fuzzy concept lattice Rough set theory Fuzzy formal context Fuzzy formal concept Fuzzy equivalence class 

Notes

Acknowledgments

Thanks to the support by National Natural Science Foundation of China (No.11071178), Education department of sichuan province (14ZB0065) and Science and technology project funds (K33).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Mathematics TeachingChengdu University of TechnologyChengduPeople’s Republic of China
  2. 2.College of Mathematics and Software ScienceSichuan Normal UniversityChengduPeople’s Republic of China

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