FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— 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...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
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...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
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, ...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— 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...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— 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...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
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...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— 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...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— 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...