Cooperative Multi-hierarchical Query Answering Systems
Dependency and Granularity in Data -Mining
Fuzzy Logic
Fuzzy Probability Theory
Fuzzy System Models Evolution from Fuzzy Rulebases to Fuzzy Functions
On Genetic-Fuzzy Data Mining Techniques
Granular Computing and Data Mining for Ordered Data: The Dominance-Based Rough Set Approach
Granular Computing, Information Models for
Granular Computing, Introduction to
Granular Computing and Modeling of the Uncertainty in Quantum Mechanics
Philosophical Foundation for Granular Computing
Granular Computing: Practices, Theories, and Future Directions
Granular Computing, Principles and Perspectives of
Granular Computing System Vulnerabilities: Exploring the Dark Side of Social Networking Communities
Granular Model for Data Mining
Granular Neural Networks
Granulation of Knowledge: Similarity Based Approach in Information and Decision Systems
Multi-Granular Computing and Quotient Structure
Non-standard Analysis, An Invitation to
Information System Design Using Fuzzy and Rough Set Theory
Rough Set Data Analysis
Rule Induction, Missing Attribute Values, and Discretization
Social Networks and Granular Computing
Rough Sets in Decision Making
Knowledge Engineering from Email Archives
Fuzzy Similarity for Parallel Function Computation Model
Mereology
Variable Precision Approximations in Rough Sets
Algebraic Models and Granular Computing
Set-Valued Mapping for Generalized Rough Approximation and Application to Clustering Algorithm
Fuzzy System Representations of Stochastic Systems
Function Approximation Property of Fuzzy Systems and Its Error Analysis
Issues in Access Control and Privacy for Big Data
Security Situational Awareness: A Practical Approach for a Complex Heterogeneous Environment
Security with Privacy
Privacy Preservation in Big Data Analytics
Access Control for XML Big Data Applications
A theory of approximate computing in numerical analysis
Interval Computing
Aggregation Operators and Soft Computing
Evolving Fuzzy Systems
Fuzzy Logic, Type-2 and Uncertainty
Fuzzy Optimization
Foundations of Fuzzy Sets Theory
Hybrid Soft Computing Models for Systems Modeling and Control
Neuro-fuzzy Systems
Possibility Theory
Rough Sets: Foundations and Perspectives
Soft Computing, Introduction to
Statistics with Imprecise Data
Some Remarks on the Foundations of Numerical Analysis
Tsau-Young Lin holds a Ph.D. from Yale University and is Professor of Computer Science at San Jose State University. He has published over 250 papers and has edited a number of books. Prof. Lin coined the term Granular Computing (GrC) and has researched the subject for the past two decades. He is Founding President of the Rough Set Society and President of the GrC Society. His areas of expertise include data science (deep data analysis, data/knowledge mining, uncertainty), topology-based computing (algebraic, geometric, point set), granular and rough computing, and cyber security. Churn-Jung Liau received a B.S., an M.S. and a Ph.D in computer science and information engineering from National Taiwan University in 1985, 1987 and 1992 respectively. He then joined the Institute of Information Science, Academia Sinica, Taiwan and is currently a tenured full research fellow. His major research interest includes aaplied logic, artificial intelligence, and uncertainty reasoning.
Janusz Kacprzyk is Professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences, WIT Warsaw School of Information Technology, and Chongqing Three Gorges University, Wanzhou, Chinqgqung, China, and Professor of Automatic Control at PIAP Industrial Institute of Automation and Measurements. He is Honorary Foreign Professor at the Department of Mathematics, Yli Normal University, Xinjiang, China. He is Full Member of the Polish Academy of Sciences, Member of Academia Europaea, European Academy of Sciences and Arts, European Academy of Sciences, Foreign Member of the: Bulgarian Academy of Sciences, Spanish Royal Academy of Economic and Financial Sciences (RACEF), Finnish Society of Sciences and Letters, and Flemish Royal Academy of Belgium of Sciences and the Arts (KVAB). He was awarded with 4 honorary doctorates. He is Fellow of IEEE, IET, IFSA, EurAI and SMIA.
His main research interests include the use of modern computation computational and artificial intelligence tools, notably fuzzy logic, in systems science, decision making, optimization, control, data analysis and data mining, with applications in mobile robotics, systems modeling, ICT etc.
He authored 7 books, (co)edited more than 100 volumes, (co)authored more than 600 papers, including ca. 80 in journals indexed by the WoS. His bibliographic data are: Google Scholar: citations: 28094; h-index: 74, Scopus: citations: citations: 8416; h-index: 40, ResearcherID (M-9574-2014): citations: 9014; h-index=42 and Web of Science: citations: 6696 (5517 without self-citations) h-index: 34.
He is the editor in chief of 7 book series at Springer, and of 2 journals, and is on the editorial boards of ca. 40 journals.. He is President of the Polish Operational and Systems Research Society and Past President of International Fuzzy Systems Association.
