Fuzzy logic
"What's the point?"
Fuzzy logic are 'degrees of truth', while probabilistic logic corresponds to 'probability, likelihood' coming to different models of the same real-world.
Fuzzy logic and probability express uncertainty. Both represent subjective belief. For example, fuzzy uses how much a variable is in a set. Probability uses how likely I think a variable is in a set. They are not directly equivalent, the difference between possibility and probability.
A fuzzy concept can provide security because it provides meaning when an exact concept is unavailable, better than no denotation, at all.
To communicate or convey a message the speaker has to bridge his meaning and the meaning understood by others. This done instinctively, habitually or unconsciously, meaning negotiated, manipulated or brought in context.
Fuzzy concepts found in the creative process of forming new concepts to understand.
Fuzzy concepts are used to denote complex phenomena, to describe developing or changing events, shedding old meaning to acquire new meaning.
Fuzzy concepts are used to create ambiguity or vagueness, as an evasive tactic, or to bridge a contradiction. Implied is a inferred connection, without the specifics. This due to a failure or a refusal to be more precise. But it could be an introduction to a more exact formulation, toward a better understanding. It could also be a method to describe something very time consuming or too large to manage.
The concept of God, not easily defined, fuzzy logic provides security to the believer.
Wikipedia
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