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In this work we propose three methods for obtaining solutions in fuzzy constraint networks and study their application to the problem of ordering fuzzy numbers. The techniques proposed may be classiied as defuzziication functions which are applicable to any set of mutually dependant fuzzy numbers in which the dependence relationships are represented by(More)
In the Intensive Care Unit (ICU) domain, temporal evolution of diseases and patients' contextual information are critical pieces of knowledge that must be considered in the design of a diagnosis task. The uncertainty inherent in the description of temporal information associated to diseases requires a temporal representation and reasoning framework. This(More)
This paper describes a complete vision-based online robot system that allows controlling both an educational and an industrial robot via web. We address some of the limitations of current similar systems particularly concerning the user interface. Some of its novel features are: its adjustable autonomy, so that the user can decide the right level of(More)
OBJECTIVE The aim of this work is to provide a theoretical framework which is sufficiently expressive to describe temporal evolution of diseases, and also to propose a diagnostic process for building explanations of patient's observed temporal evolution based on these disease descriptions. BACKGROUND Model-based diagnosis (MBD) tackles the problem of(More)
− − − − The system consists of a multirobot architecture that gives access to both, an educational and industrial robot, through the Internet, by using advanced mul-timedia and distributed programming tools like Java, Java3D and CORBA. The main effort is focused on the user interface that allows specifying a task into a 3D model and sending commands to the(More)
− This paper describes a web-based telerobotic system with two basic capabilities: object recognition and incremental or continual learning. Within this context, the present paper investigates the feasibility of applying several distance-based classifiers to remote object recognition tasks. On the other hand, incremental learning enables the system to(More)
OBJECTIVE In this paper, we extend a preliminary proposal and discuss in a deeper and more formal way an approach to evaluate temporal similarity between clinical workflow cases (i.e., executions of clinical processes). More precisely, we focus on (i) the representation of clinical processes by using a temporal conceptual workflow model; (ii) the definition(More)
In this paper, we propose a new algorithm, called ClaSP for mining frequent closed sequential patterns in temporal transaction data. Our algorithm uses several efficient search space pruning methods together with a vertical database layout. Experiments on both synthetic and real datasets show that ClaSP outperforms currently well known state of the art(More)