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FUZZIEEE
2007
IEEE
9 years 9 months ago
Social Measures and Flexible Navigation on Online Contact Networks
— This paper discusses ways of navigating online contact networks - networks of social connections defined under a relational context - on a way that can provide much more meani...
Nikolaos Korfiatis, Miguel-Ángel Sicilia
FUZZIEEE
2007
IEEE
9 years 9 months ago
Visualizing Consensus in Group Decision Making Situations
Abstract— In the resolution of group decision making problems the consensus process, that is, the process where experts discuss about the alternatives to narrow their differences...
Sergio Alonso, Enrique Herrera-Viedma, Francisco J...
FUZZIEEE
2007
IEEE
9 years 9 months ago
A Generalized Class of T-norms From a Categorical Point of View
Abstract— Triangular norms or t-norms, in short, and automorphisms are very useful to fuzzy logics in the narrow sense. However, these notions are usually limited to the set [0, ...
Benjamín C. Bedregal, Hélida S. Sant...
FUZZIEEE
2007
IEEE
9 years 9 months ago
Decoding Trace Peak Behaviour - A Neuro-Fuzzy Approach
— DNA sequence basecalling is commonly regarded as a solved problem, despite significant error rates being reflected in inaccuracies in databases and genome annotations. This has...
David Thornley, Stavros Petridis
FUZZIEEE
2007
IEEE
9 years 9 months ago
Stability of Cascaded Takagi-Sugeno Fuzzy Systems
Zsofia Lendek, Robert Babuska, Bart De Schutter
FUZZIEEE
2007
IEEE
9 years 9 months ago
Social Network and One-sided Fuzzy Concept Lattices
— In this paper we present information about our experiment with a social network of students from one school class. Each pupil has characterized his/her relationships to all sch...
Stanislav Krajci, Jana Krajciova
FUZZIEEE
2007
IEEE
9 years 9 months ago
Adaptive Optimization of the Number of Clusters in Fuzzy Clustering
In this paper, we present a local, adaptive optimization scheme for adjusting the number of clusters in fuzzy C-means clustering. This method is especially motivated by online app...
Jürgen Beringer, Eyke Hüllermeier
FUZZIEEE
2007
IEEE
9 years 9 months ago
Fuzzy Approximation for Convergent Model-Based Reinforcement Learning
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
FUZZIEEE
2007
IEEE
9 years 9 months ago
A Fuzzy Description Logic with Product T-norm
— Fuzzy Description Logics (fuzzy DLs) have been proposed as a language to describe structured knowledge with vague concepts. It is well known that the choice of the fuzzy operat...
Fernando Bobillo, Umberto Straccia
FUZZIEEE
2007
IEEE
9 years 9 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
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