Towards a general theory of action and time
Artificial Intelligence
Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
Fuzzy sets and applications
On the Detection of Dominant Points on Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discrete-time signal processing
Discrete-time signal processing
Enhancement schemes for constraint processing: backjumping, learning, and cutset decomposition
Artificial Intelligence
Pattern recognition: statistical, structural and neural approaches
Pattern recognition: statistical, structural and neural approaches
Artificial Intelligence - Special issue on knowledge representation
Representation and use of imprecise temporal knowledge in dynamic systems
Fuzzy Sets and Systems
An adaptive dominant point detection algorithm for digital curves
Pattern Recognition Letters
A model and a language for the fuzzy representation and handling of time
Fuzzy Sets and Systems
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
A Sufficient Condition for Backtrack-Free Search
Journal of the ACM (JACM)
Linguistic representation of fuzzy temporal profiles
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on selected papers on fuzzy logic and fuzzy technology from ESTYLF '98
Locating Perceptually Salient Points on Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy constraint networks for signal pattern recognition
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
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Below we present the Fuzzy Temporal Profile model (FTP) for the representation and recognition of patterns in the evolution of a physical parameter. One of the fundamental aspects of the model is the linguistic acquisition of the information that constitutes the profile. Thus, this proposal deals with a fuzzy representation of the semantics associated to the linguistic description that is made by experts on different forms of evolution of a physical parameter, and the manner in which this representation is used in pattern recognition tasks.