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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
14 years 9 months ago
On Classical, Fuzzy Classical, Quantum and Fuzzy Quantum Systems
In this paper we consider physical systems and the concept of their states in the context of the theory of fuzzy sets and systems. In section 1 we give a brief sketch on the fundam...
Rudolf Seising
ICPR
2004
IEEE
16 years 14 days ago
Type-2 Fuzzy Hidden Markov Models to Phoneme Recognition
This paper presents a novel extension of Hidden Markov Models (HMMs): type-2 fuzzy HMMs (type-2 FHMMs). The advantage of this extension is that it can handle both randomness and f...
Jia Zeng, Zhi-Qiang Liu
TFS
2008
112views more  TFS 2008»
14 years 11 months ago
Gradual Numbers and Their Application to Fuzzy Interval Analysis
Abstract-- We introduce a new way of looking at fuzzy intervals. Instead of considering them as fuzzy sets, we see them as crisp sets of entities we call gradual (real) numbers. Th...
Jérôme Fortin, Didier Dubois, H&eacut...
IWANN
2009
Springer
15 years 6 months ago
Fuzzy Logic, Soft Computing, and Applications
We survey on the theoretical and practical developments of the theory of fuzzy logic and soft computing. Specifically, we briefly review the history and main milestones of fuzzy ...
Inma P. Cabrera, Pablo Cordero, Manuel Ojeda-Acieg...
ISCI
2007
130views more  ISCI 2007»
14 years 11 months ago
Computing with words and its relationships with fuzzistics
ct 9 Words mean different things to different people, and so are uncertain. We, therefore, need a fuzzy set model for a word 10 that has the potential to capture their uncertaint...
Jerry M. Mendel