Aim and scope
During the last ten years, a novel analysis of fuzzy intervals based on lattice theory has paved the way for novel extensions of major computational intelligence paradigms including the: fuzzy inference systems, fuzzy adaptive resonance theory and self-organizing maps. Novelties include 1) accommodation, in principle, of granular system inputs, 2) computing with words, and 3) introduction of tunable nonlinearities. Evolutionary computation is often employed for tuning performance.In addition, lattice theory is also used instrumentally in different domains including logic as well as reasoning. Likewise, lattice theory is used in mathematical morphology toward signal processing as well as in formal concept analysis toward knowledge-representation. Lately, the term Lattice Computing, or LC for short, has been introduced as “an evolving collection of tools and methodologies that process lattice-ordered data including logic values, numbers, sets, symbols, graphs, etc”. In the aforementioned sense, LC emerges with the potential of unifying rigorously the treatment of disparate types of data either separately or jointly in any combination.
This special session is meant as a forum for researchers with interests in LC. The objective is to present high-quality, state-of-the-art research results. An array of novel mathematical tools, design practices and real world applications will be presented. Emphasis is on reasoning, knowledge-representation, signal processing, system modeling, clustering, classification and the cross-fertilization of different technologies. Topics of interest include but are not limited to
- Lattice algebra neural networks
- Fuzzy lattice reasoning
- Fuzzy adaptive resonance theory
- Mathematical morphology
- Implications
- Similarity measures
- System modeling
- Probabilistic reasoning
- Granular computing
- Computing with words
- Data mining
- Disparate data fusion
- Semantic Web
- Knowledge representation
- Formal concept analysis
- Algebraic logic
- Multi-valued logic
- Spatial and temporal logic
- Automated reasoning
- Application of proof theory
- Pattern recognition
Organizers
Professor Vassilis KABURLASOSDepartment of Computer & Informatics Engineering
TEI of Eastern Macedonia & Thrace
Agios Loukas 65404 Kavala, Greece
Email: vgkabs@teikav.edu.gr
His “google scholar” WebPage is at http://scholar.google.com/citations?user=3RiPf3wAAAAJ
Professor Manuel GRAÑA
Department of Computer Science and Artificial Intelligence
Universidad del Pais Vasco (UPV/EHU)
Paseo Manuel Lardizabal 1, 20018 Donostia-San Sebastian, Spain
Email: manuel.grana@ehu.es
His “google scholar” WebPage is at http://scholar.google.com/citations?hl=es&user=lM0Hb4wAAAAJ
Professor Yang XU
College of Mathematics
Southwest Jiaotong University
Chengdu 610031, Sichuan, P. R. China
Email: xuyang@home.swjtu.edu.cn
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