January 25, 2012

Fuzzy Logic vs Probability

Fuzzy Logic vs Probability

In my view, probability is related to chances of occurrence of an event in which either few assumptions will remain true or may be not, it all depends upon experiment.

But fuzzy logic deals with rules it has defined in it. If some knowledge was not existing and rules were not defined but it will still accept it as a new rule. And for the next time fuzzy logic will return true about that, but in contrast to probability in fuzzy logic if one result is true so others remain also true for their respective rule or set of rules. In probability if an event occurs and results are true about one P so false about Q.

Please share your views…

Last updated: March 19, 2014
Did it helped? 4 thoughts on “Fuzzy Logic vs Probability”
  1. UZ

    Fuzzy logic is derived from fuzzy set theory dealing with reasoning that is approximate rather than precisely deduced from classical predicate logic. It can be thought of as the application side of fuzzy set theory dealing with well thought out real world expert values for a complex problem.
    Degrees of truth are often confused with probabilities. However, they are conceptually distinct; fuzzy truth represents membership in vaguely defined sets, not likelihood of some event or condition. To illustrate the difference, consider this scenario: Bob is in a house with two adjacent rooms: the kitchen and the dining room. In many cases, Bob’s status within the set of things “in the kitchen” is completely plain: he’s either “in the kitchen” or “not in the kitchen”. What about when Bob stands in the doorway? He may be considered “partially in the kitchen”. Quantifying this partial state yields a fuzzy set membership. With only his big toe in the dining room, we might say Bob is 99% “in the kitchen” and 1% “in the dining room”, for instance. No event (like a coin toss) will resolve Bob to being completely “in the kitchen” or “not in the kitchen”, as long as he’s standing in that doorway. Fuzzy sets are based on vague definitions of sets, not randomness.

  2. admin Post author

    Hmmm… Copied from yahoo answers 🙂 that’s not good. Anyways, i add more here

    Fuzzy logic deals with the reasoning instead of exact decision so it revolves around approximation. We can process incomplete data with it. Fuzzy logic corresponds to degrees of truth and it uses truth degrees as a mathematical model of vagueness phenomenon.

    Probability corresponds to likelihood and it is a mathematical model of ignorance.

  3. SR

    As there are many things common in both probability and fuzzy logic but these both are not same.
    The differences are given below.
    Probability has no meaning after the event occur but fuzzy logic has meaning after the event occur.
    Probability represents the chance of event occurrence while fuzzy logic represents the ambiguity.
    Probability measure whether an event occur or not but fuzzy logic measure the degree to which an event can occur.

  4. Reqqy

    Peter, inetresting post. A related point is that *complex* evidence marshalling frameworks or strategies may be unnecessary or even detrimental to the functioning of our common sense/intelligence. Maybe the way we mostly do things now, so often seems like a kind of muddling through, is some kind of optimum in the “structured” spectrum. Certainly this issue of “what degree of formality/structure can actually enhance human reasoning?” is one that I’ve been grappling with for while.

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