Results 221 to 230 of about 82,552 (266)
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Fuzzy logic in anaesthesia

Transactions of the Institute of Measurement and Control, 1996
The development of on-line drug administration strategies in operating theatres represents a highly safety-critical situation. The usefulness of different levels of simulation prior to clinical trials has been shown in previous studies in anaesthesia. Thus, in earlier work on pole-placement self-tuning for muscle relaxation, a dual computer real-time ...
Linkens, D. A.   +3 more
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Fuzzy logic applications

The Analyst, 2003
Fuzzy logic is a modeling method well suited for the control of complex and non-linear systems. This paper illustrates some of the power of fuzzy logic through a simple control example. For the analytical chemist, fuzzy logic incorporates imprecision from measurement noise as well as from linguistic process descriptions to produce operational control ...
Gordon, Hayward, Valerie, Davidson
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FUZZY LOGIC WITH EQUALITY

International Journal of Pattern Recognition and Artificial Intelligence, 1988
The concept of fuzzy equality and its related contents to the first order predicate calculus are discussed. It is proved that, in the viewpoint of computational logic, resolution and paramodulation mechanisms are complete and sound for fuzzy logic with equality. Term rewriting system, that is the set of left to right directional equations, provides an
Churn-Jung Liau, Bertrand I-Peng Lin
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Dynamic Fuzzy Logic

2000
Departing from the notion of a dynamical fuzzy set, we extend the concept of fuzzy logic, to introduce the dynamic fuzzy logic. The dynamic fuzzy logic is the base of the dynamic approximate reasoning, where the truth values and the inference rules are fuzzy, and change over time.
José Luis Pérez-Silva   +1 more
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Fuzzy logic programming

Fuzzy Sets and Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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L∞ fuzzy logic

Fuzzy Sets and Systems, 1999
Using a new family of t-norms and t-conorms we show that fuzzy logic, whose truth values are rational numbers in [0,1], obeys the elementary laws of classical logic (those given in Section 4).
James J. Buckley, William Siler
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Fuzzy logic with biomolecules

Soft Computing, 2001
The uncertain and inexact nature of the chemical reactions used to implement DNA computations can be turned into an advantage for implementing robust soft computing systems. The key feature of DNA hybridization that makes it appropriate for fuzzy computing is the uncertainty and incompleteness in the formation of a double-stranded duplex from single ...
Russell J. Deaton, Max H. Garzon
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Interpolation in fuzzy logic

Archive for Mathematical Logic, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matthias Baaz, Helmut Veith
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Lattice fuzzy logics

International Journal of Man-Machine Studies, 1980
Although the characterizing membership functions of fuzzy sets normally have as their range the interval [0, 1], it is possible for the range to be a partially ordered set. The use of lattices for this set is explored. Various forms of restricted infinite lattice are considered.
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Fuzzy Logic in Management

2004
In this monograph we want to show that the complexity of management can be reduced and that the changes of the environment can be more easily handled by bringing fuzzy logic into the management models and into the practice of management. The book begins with a short survey of leadership and management activities in order to set the stage for what ...
C. Carlsson, Fedrizzi, Mario, R. Fuller
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