This paper presents a new approach to acoustic noise identification, by introducing fuzzy modeling techniques. Fuzzy identification is compared to conventional linear identification techniques, using as the system to model a new device called ElectroMechanical Film (EMF), developed by VTT [1]. This device can be used either as an acoustic sensor or actuator. The obtained model represents the be...

Fuzzy cellular automata (FCA) are continuous cellular automata where the local rule is defined as the “fuzzification” of the local rule of a corresponding Boolean cellular automaton in disjunctive normal form. In this paper we are interested in the relationship between Boolean and fuzzy models and we analytically show, for the first time, the existence of a strong connection between them by foc...

Aimed at the problem of the classical ontology cannot represent the imprecision and uncertainty information, firstly, the ambiguity and uncertainty of fuzzy information was analyzed, and the fuzzy concept relationship was expressed by using fuzzy membership function. And then, the user interest estimation based on behavior was studied in term of user’s learning preferences, and user profile was...

 An autonomous mobile robot (AMR) has to cope with uncertain, incomplete or approximate information. Moreover it has to identify sudden perceptual situations to manoeuvre in real time. This paper describes a fuzzy rule based system (FRBS) approach controlling the movement of an autonomous mobile robot (MORIA). Difficult guiding and controlling properties of the robot are achieved by combining ...

In order to achieve correct behavior the control system of an autonomous robot must perform many complex information processing tasks in real time. The robots operate in environment where the boundary conditions vary rapidly [1]. Fuzzy logic controller is well suited for controlling a robot because it is capable of making inferences even under uncertainty [2]. Ever since the fuzzy systems were ...

The main goal of this paper is to apply the method of extension of fuzzy connectives proposed in our previous work for fuzzy implications valued on a bounded lattice. Also we discuss about which properties of implications are preserved by this method and we prove some results involving extension and automorphisms. Finally, we investigate the behavior of the extensions of two special classes of ...

A new approach for ranking fuzzy numbers based on a distance measure is introduced. A new class of distance measures for interval numbers that takes into account all the points in both intervals is developed -rst, and then it is used to formulate the distance measure for fuzzy numbers. The approach is illustrated by numerical examples, showing that it overcomes several shortcomings such as the ...

This paper describes a self-learning navigation method which utilizes fuzzy logic and reinforcement learning for navigation of a mobile vehicle in uncertain environments. The proposed navigator consists of three modules: Obstacle Avoidance, Move to Goal and Fuzzy Behavior Supervisor. The fuzzy rules of the on-line obstacle avoidance are learnt through reinforcement learning. A new and powerful ...