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What is the difference between fuzzy differential equation and ordinary differential equation?
fuzzy differential equation (FDEs) taken account the information about the behavior of a dynamical system which is uncertainty in order to obtain a more realistic and flexible model. So, we have r as the fuzzy number in the equation whereas ordinary differential equations do not have the fuzzy number.
Is fuzzy an adverb?
No, it is not. It descibes a noun, so it is an adjective. It can refer to having a light coating of fur, or it can refer to an idea that is not very understandable.
What is definition of fuzzy relation?
that means your in love with the sasquatch
What is the comparative and superlative form of fuzzy?
fuzzier, fuzziest
If you throw a coin 6 times how many possible outcomes are there?
Whenever you are trying to figure out the answer to an outcome problem, you just multiply how many sides it has by how many times you are tossing the coin.... 2 x 6 = 12 times.===================================Very reasonable. Warm, fuzzy, and intuitively satisfying. But, sadly, wrong.Every toss of a coin has 2 possible outcomes.If you write down the results of 6 tosses like: H T T H T H with an 'H' for each headsand a 'T' for each tails, the number of different patterns you could write down forsix tosses is2 x 2 x 2 x 2 x 2 x 2 = 64 .If you don't care about the sequence, and you just want to know how manydifferent splits of 'heads' vs 'tails' you could get in 6 tosses, then there are sevendifferent possible outcomes:-- no heads, 6 tails-- 1 heads, 5 tails-- 2 heads, 4 tails-- 3 heads, 3 tails-- 4 heads, 2 tails-- 5 heads, 1 tails-- 6 heads, no tails
Difference between crisp logic and fuzzy logic?
Crisp :Binary logicIt may be occur or non occurindicator functionFuzzy logicContinuous valued logicmembership functionConsider about degree of membership
Difference between crisp set and fuzzy set?
Let A be a crisp set defined over the universe X. Then for any element x in X,either x is a member of A or not.In a fuzzy set,it is not necessary that x is the full member of the set or not a member. It can be the partial member of the set.
What is the difference between fuzzy differential equation and ordinary differential equation?
fuzzy differential equation (FDEs) taken account the information about the behavior of a dynamical system which is uncertainty in order to obtain a more realistic and flexible model. So, we have r as the fuzzy number in the equation whereas ordinary differential equations do not have the fuzzy number.
What do you mean by crisp input value in fuzzy logic?
nonlinear or irregular input
Difference between fuzzy set theory and crisp set theory?
The fundamental difference is that in fuzzy set theory permits the gradual assessment of the membership of elements in a set and this is described with the aid of a membership function valued in the real unit interval [0, 1]. Better, the degree of membership of the elements of a set can take values ranging between 0 and 1 allowing for a ranking of membership. Conversely, crisp set theory is a classical bivalent set so that the membership function only takes values 0 or 1. In this case, one can know only if an element of the set have or not a particular characteristic and a ranking of membership is not possible.
What is the difference between classical set theory and fuzzy set theory?
Classical theory is a reference to established theory. Fuzzy set theory is a reference to theories that are not widely accepted.
What is fuzzyification?
"The fuzzification comprises the process of transforming crisp values into grades of membership for linguistic terms of fuzzy sets. "
The difference between roses and dandelions?
the difference is that a dandelion is yellow MOSTLY and a rose is MOSTLY red Jahzy :)
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 fuzzy database?
A fuzzy database incorporates fuzzy logic to handle imprecise or uncertain information. It allows for flexible querying and supports reasoning with vague or incomplete data. Fuzzy databases are useful in situations where traditional databases fall short due to their reliance on crisp, exact values.
What is the difference between grass and moss?
Moss grows in damp places and it is short and fuzzy plus it caries ticks, believe me I know. Grass is long and grows every where.
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.
