Examples of using Fuzzy logic in English and their translations into Serbian
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What's fuzzy logic?
A Fuzzy Logic Operations.
What is'fuzzy logic'?
Fuzzy logic, control and systems.
What about fuzzy logic?
Identify and use specific tools for the development phase of the system logic and fuzzy logic control.
What Fuzzy logic is?
Introduction to fuzzy logic.
In early 1997, Super Furry Animals embarked on the NME Brats Tour andcompleted work on a speedy follow-up to Fuzzy Logic.
So, What IS Fuzzy Logic?
Fuzzy logic provides a methodology to represent, manipulate, and implement heuristic knowledge to control a system.
What is the fuzzy logic?
This effect is common in fuzzy logic based classification algorithms, where membership in one class or another is ambiguous.
How's that for fuzzy logic?
A substantial amount of interest has been given to a“quantum-inspired” model that uses ideas from quantum theory to implement a neural network based on fuzzy logic.
Able to apply artificial intelligence techniques such as searching technique, fuzzy logic, neural network, evolutionary computing, machine learning, and intelligent agent when developing a system.
I got that account when I was working on my senior thesis. It was on fuzzy logic and I was 22.
In 2011, they showed how memristor crossbars can be combined with fuzzy logic to create an analog memristive neuro-fuzzy computing system with fuzzy input and output terminals.
What is the meaning of Fuzzy Logic?
Function Fuzzy Logic(for washing machine with dryer)- In contrast to conventional CM with drying, the machine with this function stops drying not by timer, but by a sensor that detects the residual moisture of the laundry and stops the unit itself.
We could come up with an extremely complex algorithmusing random number generators, chaotic functions, and fuzzy logic to generate a sequence of musical notes in a way that would be impossible to track.
The outcomeStudents get a mathematical basis and also practical hints in treating problems within the scope of their discipline. ContentsContents of lecturesFormalisations, modelling of knowledge andproblems using classical nad nonclassical logic( fuzzy logic, linear logic, modal and temporal logic). .
But if you look at cultures which have cyclical and based on infinite lives,you will see a comfort with fuzzy logic, with opinion, with contextual thinking, with everything is relative, sort of--(Laughter) mostly.
In many ways, fuzzy logic represents a significant paradigm shift in the aims of computing- a shift which reflects the fact that the human mind, unlike present day computers, possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity. The chapters of the book are evolved from presentations made by selected participants at the meeting and organized in two books.
Methods based on multi-atributive and multi-criteria analysis with weight factors,Methods based on expert systems(fuzzy logic, neural networks, etc.) Economic models of assessment(static and dynamic analysis).
The proponents of fuzzy logic, possibility theory, quantum cognition, Dempster-Shafer theory, and info-gap decision theory maintain that probability is only one of many alternatives and point to many examples where non-standard alternatives have been implemented with apparent success; notably, probabilistic decision theory is sensitive to assumptions about the probabilities of various events, while non-probabilistic rules such as minimax are robust, in that they do not make such assumptions.
NonThe goalThis course provides a broad technical introduction and a survey of core concepts of artificial intelligence, including search, knowledge representation, planning,reasoning under uncertainty, fuzzy logic, evolutionary programming and inductive learning. The outcomeStudents will be able to independently analyze different types of artificial intelligence systems.
NonThe goalThis course provides a broad technical introduction and a survey of core concepts of artificial intelligence, including search, knowledge representation, planning,reasoning under uncertainty, fuzzy logic, evolutionary programming and inductive learning. The outcomeStudents will be able to independently analyze different types of artificial intelligence systems.
A closer look at some of the numbers contained in the document suggests both of those numbers are subject to accounting logic and fuzzy math.