This work presents the concept and realisation of the integration of deliberative and reactive strategies for controlling mobile robot systems Programming at the task level in a partially known environment is divided into two consecutive steps subgoal planning and subgoal guided plan execution A modular fuzzy control scheme is proposed which allows independent development and exible integration...

This work presents the concept and realisation of the integration of deliberative and reactive strategies f o r controlling mobile robot systems. Programming at the task-level in a partially-known environment is divided into two consecutive steps: subgoal planning and subgoal-guided plan execution. A modular fuzzy control scheme is proposed, which allows independent development and flexible int...

We present a novel approach to fuzzy dl-programs under the answer set semantics, which is a tight integration of fuzzy disjunctive programs under the answer set semantics with fuzzy description logics. From a different perspective, it is a generalization of tightly integrated disjunctive dl-programs by fuzzy vagueness in both the description logic and the logic program component. We show that t...

There are two possible ways for integrating Fuzzy Logic and Genetic Algorithms. One involves the application of Genetic Algorithms for solving optimization and search problems related with fuzzy systems. The another, the use of fuzzy tools and Fuzzy Logic-based techniques for modeling diierent Genetic Algorithm components and adapting Genetic Algorithm control parameters, with the goal of impro...

Fuzzy inference engines based on the existing fuzzy theory are inadequate to perform reliable decision making. Besides requiring the fuzzy sets and data to be normalized, the inference engine is also sensitive to noise in observational data. Inaccurate conclusions are produced if noise is present and also when the fuzzy sets are not normalized. In this paper, a new term "similarity' (o) and the...

This paper describes a PI fuzzy adaptive control structure. Based on classical PI fuzzy control structure (with integration on controller output) the authors have developed, implemented and validated an on-line self-tuning mechanism of regulator’s parameter. A study case for validation of proposed tuning mechanism is presented and analyzed with application to control of synchronous generator ex...

A fuzzy morphological approach is here presented to retrieve structural properties of images considered as fuzzy sets. The basic concepts of the possibility theory and of the mathematical morphology are brieey illustrated, together with their suggested integration. Some applications to astronomical images are also shown.

An integration between the theories of fuzzy sets and rough sets has been attempted by providing a measure of roughness of a fuzzy set. Several properties of this new measure are established. Some of the possible applications for handling uncertainties in the field of pattern recognition are mentioned.

The integration of fuzzy sets in ontologies for the Semantic Web can be achieved in different ways. In most cases, fuzzy sets are defined by hand or with some heuristic procedure that does not take into account the distribution of available data. In this paper, we describe a method for introducing a granular view of data within an OWL ontology.