Fuzzy logic previous papers please?
Asked in Math and Arithmetic
How can you describe the cup contains 500 milimeters as fuzzy logic?
Asked in Actors & Actresses
What actors and actresses appeared in Fuzzy Logic - 1998?
Why is fuzzy logic not best in solving uncertainty?
Asked in Engineering
What is definition for fuzzy engineering?
Fuzzy engineering is an industry term which generally refers to the design of a product that benefits from fuzzy logic. Fuzzy logic contracts with traditional digital logic in that it utilizes a weighted non-binary result making process. For example, if two sensors were connected to a fuzzy logic algorithm, each sensor might respond slightly differently from the other. Depending on which sensor produced the "best result" a weight would be assigned. That weight would then be applied as a bias and a "fuzzy" response would be produced. Fuzzy logic is of particular value in the fields of artificial intelligence, robotics, feedback loop modeling and in human mimicktry. Because fuzzy logic produces a result which is not "0" or "1" it is well suited in applications that require computational results for life's "grey areas".
What is a fuzzy algorithm?
It would probably be an algorithm using fuzzy logic. Traditional logic has only two possible outcomes, true or false. Fuzzy logic instead uses a graded scale with many intermediate values, like a number between 0.0 and 1.0. (Similar to what probability theory does.) A fuzzy algorithm would then use fuzzy logic to operate on inputs and give a result. Applications include control logic (controlling engine speed, for instance, where it can be handy to have some intermediate values between "full speed" and "full stop") and edge detection in images. See related link.
Asked in Cell Biology (cytology)
What are this two cell cross flow turbine with fuzzy logic controller?
Asked in Powerpuff Girls
What are the ratings and certificates for The Powerpuff Girls - 1998 Buttercrush Fuzzy Logic 1-4?
Asked in Authors, Poets, and Playwrights
What has the author G Chen written?
G. Chen has written: 'Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems' -- subject(s): Soft computing, Fuzzy systems 'Introduction to fuzzy systems' -- subject(s): Fuzzy systems, Fuzzy logic 'An overview of instability and fingering during immiscible fluid flow in porous and fractured media' -- subject(s): Mathematical models, Hydrogeology, Radioactive waste disposal in the ground 'From chaos to order' -- subject(s): Chaotic behavior in systems, Industrial applications
What is fuzzy logic?
computer-based system(it contains both hard ware and software) that can process data that are incomplete or only partially correct Fuzzy logic was introduced as an artificial intelligence technique, when it was realized that normal boolean logic would not suffice. When we make intelligent decisions, we cannot limit ourselves to "true" or "false" possibilities (boolean). We have decisions like "maybe" and other shades of gray. This is what is introduced with fuzzy logic: the ability to describe degrees of truth. Example: in fuel station if you stop a fuel injecting motor at 1.55897ltrs.it can be done with the help of fuzzy logic.fuzzy has a meaning like accurate.
Asked in Probability, The Difference Between
What is the Difference between fuzzy logic and probability?
The difference between probability and fuzzy logic is clear when we consider the underlying concept that each attempts to model. Probability is concerned with the undecidability in the outcome of clearly defined and randomly occurring events, while fuzzy logic is concerned with the ambiguity or undecidability inherent in the description of the event itself. Fuzziness is often expressed as ambiguity rather than imprecision or uncertainty and remains a characteristic of perception as well as concept.
What is a fuzzy logic?
A mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Although it is implemented in digital computers which ultimately make only yes-no decisions, fuzzy logic works with ranges of values, solving problems in a way that more resembles human logic. Fuzzy logic is used for solving problems with expert systems and real-time systems that must react to an imperfect environment of highly variable, volatile or unpredictable conditions. It "smoothes the edges" so to speak, circumventing abrupt changes in operation that could result from relying on traditional either-or and all-or-nothing logic.
Asked in Probability
What is relationship of fuzzy logic with probability theory?
Probability theory deals with a events which have a range of probabilities of occurring, rather than a dichotomy of "happen" or "not happen". In a similar fashion, fuzzy logic deals with truth values that are not dichotomic: TRUE or FALSE, but have a range of intermediate values such as mostly true etc.
Asked in Authors, Poets, and Playwrights
What has the author W B Vasantha Kandasamy written?
W. B. Vasantha Kandasamy has written: 'Analysis of Social Aspects of Migrant Labourers Living with HIV/AIDS Using Fuzzy Theory and Neutrosophic Cognitive Maps' 'Fuzzy cognitive maps and neutrosophic cognitive maps' -- subject(s): Fuzzy logic, Symbolic and mathematical Logic 'Super fuzzy matrices and super fuzzy models for social scientists' -- subject(s): Fuzzy mathematics, Mathematics, Social sciences 'Smarandache Loops' 'Smarandache rings' -- subject(s): Rings (Algebra), Semigroup rings, Smarandache notions 'Methods in industrial biotechnology for chemical engineers' -- subject(s): Biotechnology, Medhodology, Chemical engineering, Methodology 'Fuzzy relational maps and neutrosophic relational maps' -- subject(s): Fuzzy logic, Fuzzy systems 'Smarandache Semigroups' 'Smarandache near-rings' -- subject(s): Near-rings, Smarandache function 'New classes of neutrosophic linear algebras' -- subject(s): Linear Algebras, Neutrosophic logic 'Rank distance bicodes and their generalization' -- subject(s): Coding theory 'Basic Neutrosophic Algebraic Structures and Their Applications to Fuzzy and Neutrosophic Models (Neutrosophic Book)' 'Special set linear algebra and special set fuzzy linear algebra' -- subject(s): Linear Algebras, Fuzzy sets