标题
The axiomatic characterizations on L-fuzzy covering-based approximation operators
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
Volume 46, Issue 4, Pages 332-353
出版商
Informa UK Limited
发表日期
2017-04-10
DOI
10.1080/03081079.2017.1308360
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- The lower and upper p-topological (p-regular) modifications for lattice-valued convergence spaces
- (2016) Lingqiang Li et al. FUZZY SETS AND SYSTEMS
- Residuated lattices of block relations: size reduction of concept lattices
- (2016) Eduard Bartl et al. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
- Formal concept analysis of higher order
- (2016) Ondrej Krídlo et al. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
- One-axiom characterizations on lattice-valued closure (interior) operators
- (2016) Qiu Jin et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Relationships between generalized rough sets based on covering and reflexive neighborhood system
- (2015) Yan-Lan Zhang et al. INFORMATION SCIENCES
- Some minimal axiom sets of rough sets
- (2015) Zhouming Ma et al. INFORMATION SCIENCES
- Homomorphisms-based attribute reduction of dynamic fuzzy covering information systems
- (2015) Guangming Lang et al. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
- On enriched L-topologies: Base and subbase
- (2015) Lingqiang Li et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Some properties of L-fuzzy approximation spaces based on bounded integral residuated lattices
- (2014) Zhudeng Wang et al. INFORMATION SCIENCES
- Fuzzy variable precision rough sets based on residuated lattices
- (2014) Xue Rong Zhao et al. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
- Neighborhood systems and covering approximation spaces
- (2014) Yu-Ru Syau et al. KNOWLEDGE-BASED SYSTEMS
- The relationship among different covering approximations
- (2013) Guilong Liu INFORMATION SCIENCES
- Approximation operators on complete completely distributive lattices
- (2013) Keyun Qin et al. INFORMATION SCIENCES
- Fuzzy rough sets based on generalized residuated lattices
- (2013) Chun Yong Wang et al. INFORMATION SCIENCES
- On stratified L-convergence spaces: Pretopological axioms and diagonal axioms
- (2012) Lingqiang Li et al. FUZZY SETS AND SYSTEMS
- Fuzzy rough sets, fuzzy preorders and fuzzy topologies
- (2012) S.P. Tiwari et al. FUZZY SETS AND SYSTEMS
- Concept lattices of isotone vs. antitone Galois connections in graded setting: Mutual reducibility revisited
- (2012) Radim Belohlavek et al. INFORMATION SCIENCES
- Generalized approximations defined by non-equivalence relations
- (2012) Lihe Guan et al. INFORMATION SCIENCES
- Covering based rough set approximations
- (2012) Yiyu Yao et al. INFORMATION SCIENCES
- Topological and lattice structures of -fuzzy rough sets determined by lower and upper sets
- (2012) Zhen Ming Ma et al. INFORMATION SCIENCES
- The relationship between L-fuzzy rough set and L-topology
- (2011) Jing Hao et al. FUZZY SETS AND SYSTEMS
- On minimization of axiom sets characterizing covering-based approximation operators
- (2011) Yan-Lan Zhang et al. INFORMATION SCIENCES
- Relationships between L-ordered convergence structures and strong L-topologies
- (2010) Jinming Fang FUZZY SETS AND SYSTEMS
- An axiomatic approach of fuzzy rough sets based on residuated lattices
- (2009) Yan-Hong She et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- On axiomatic characterizations of three pairs of covering based approximation operators
- (2009) Yan-Lan Zhang et al. INFORMATION SCIENCES
- Relationship between generalized rough sets based on binary relation and covering
- (2008) W ZHU INFORMATION SCIENCES
- Generalized fuzzy rough approximation operators based on fuzzy coverings
- (2008) Tong-Jun Li et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- A comparison of two types of rough sets induced by coverings
- (2008) Guilong Liu et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now