IT2FS-based ontology with soft-computing mechanism for malware behavior analysis

Adaptive Non-singleton Type-2 Fuzzy Logic Systems: A Way Forward for Handling Numerical Uncertainties in Real World Applications

(2015) Nazanin Sahab et al.   International Journal of Computers Communications & Control

Towards the Wide Spread Use of Type-2 Fuzzy Logic Systems in Real World Applications

(2012) Hani Hagras et al.   IEEE Computational Intelligence Magazine

On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers

(2012) Dongrui Wu   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Applying Ontology-Based Models for Supporting Integrated Software Development and IT Service Management Processes

(2011) M-C Valiente et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Decision making with a fuzzy ontology

(2011) Christer Carlsson et al.   SOFT COMPUTING

OWL-FC: an upper ontology for semantic modeling of Fuzzy Control

(2011) C. De Maio et al.   SOFT COMPUTING

Evaluating cardiac health through semantic soft computing techniques

(2011) Giovanni Acampora et al.   SOFT COMPUTING

Holography: a behavior-based profiler for malware analysis

(2011) Shih-Yao Dai et al.   SOFTWARE-PRACTICE & EXPERIENCE

Diet assessment based on type-2 fuzzy ontology and fuzzy markup language

(2010) Chang-Shing Lee et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Fuzzy knowledge representation study for incremental learning in data streams and classification problems

(2010) Albert Orriols-Puig et al.   SOFT COMPUTING

Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms

(2010) O. Castillo et al.   SOFT COMPUTING

Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning

(2009) R.Y.K. Lau et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING