Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Fuzzy logic controllers have encountered an extraordinary success in a great variety of industrial applications in the last few years, especially in Japan. The principle of fuzzy controllers, first outlined by Zadeh[31] and then successfully experimented by Mamdani and Assilian[20], consists of synthesizing a control law for a system from fuzzy rules, usually provided by experts, which state the action(s)...
It is well known that in two-valued logic the set of truth values 0 and 1 with the logical operations AND(∧), OR(∀) and NOT(⌍) satisfy the axioms of Boolean algebra. The characteristics of Boolean algebra provide the fundamental properties of AI systems if they are developed based on the classical two-valued logic; for example, they can not treat ambiguous states which are frequent in the real world...
We present a theory of mass assignments for evidential reasoning under uncertainty which allows for fuzzy[15, 16, 17], probabilistic and incomplete probabilistic specifications[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]. The theory is applicable to fuzzy control, expert systems, decision support systems, knowledge engineering and represents a general theory of uncertainty in AI.
The aim of this paper is to study fuzzy dynamic systems. The role of fuzzy sets in formation of a conceptual and computational platform for symbolic and numerical information processing is identified. We summarize essential properties of fuzzy partitions developed with the aid of families of fuzzy sets. The problem of modelling with fuzzy sets is addressed with respect to fuzzy partitions defined...
This short paper intends to provide an introduction to possibilistic logic, a logic with weighted formulas, to its various capabilities and to its potential applications. Possibilistic logic, initially proposed in [11], see also Léa Sombé [26] for an introduction, can be viewed as an important fragment of Zadeh[32]’ s possibility distribution-based theory of approximate reasoning, put in a logical...
A method of identifying a process model from plant input-output data has been developed. The model is in the form of qualitative linguistic relationships which are represented and evaluated using fuzzy set theory[7]. This so-called fuzzy identification is used in the design of fuzzy model-based controllers. On-line identification is used to produce an adaptive fuzzy controller.
Clear, crisp, precise and unambiguous: that is how you like your concepts, if you are a serial computer. But human concepts are in general vague, fuzzy or subject to borderline cases. Anyone who deals with information via computers knows the problems arising from having to categorise objects to fit the computer's crude pigeonholes, and how inflexible this is compared to what humans do. Conversely,...
We propose an improved synthesis method for the multi-layered neural network(NN) using a ”translation mechanism” that maps the logical representation of qualitative knowledge into a multi-layered NN structure. We give realizability conditions and synthesis equations to realize logical functions by the NN. The NN is tuned by back-propagation(BP) after the direct synthesis. This direct synthesis...
Fuzzy logic is being implemented in control systems for a wide range of Japanese consumer products. The reason why fuzzy logic is used so widely in Japan is described in this chapter. Both the “Fuzzy” washing machine and the video camera equipped with the “Fuzzy gyro” are explained. Furthermore, new technology which integrates neural networks and fuzzy logic is reported. This “neuro-fuzzy” technology...
A robot which can act according to natural language instructions must complement information from experiences and common knowledge to adapt to various situations. In this paper, we propose a method to evaluate the similarities of concepts by representing situations in abstract layers which are hierarchically arranged. We also present a method for case-based reasoning for planning which uses the layers...
We present a unified formalism for representing maps and using them for constructing plans of navigation for an autonomous agent. The foundation of this work lies in addressing key questions that an agent is confronted with when navigating. That is, besides the main task of how to reach the intended destination from the current position, the agent faces other questions like: where am I? what landmarks...
A successful mobile robot system must have the ability to move about in a dynamic environment. Our approach to this problem is to plan a path for the robot to move from a starting point to a goal point using a map that may not have all the current information on the environment. The controller then dynamically reacts in an intelligent fashion to unplanned obstacles along the path by using sensor information...
Fuzzy logic is characterized as an extension of two valued Boolean logic. NOT, AND and OR operators in {0,l}-valued Boolean logic are extended to [0, 1]-valued fuzzy logic. They are called fuzzy negation, t-norm and s-norm (or t-conorm), respectively. These operators can be realized in electrical circuits. A fuzzy logical circuit can be characterized as the integration of these fundamental...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.