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Therefore, we intend to make it clear

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發表於 2024-1-4 17:20:07 | 只看該作者 回帖獎勵 |倒序瀏覽 |閱讀模式
The decision comes down to choosing between a model that is precise but does not fully reflect reality and a model that is vague but more accurate to reality. If a situation cannot be specified, but it can be stated that it is better than another, we have moved to a higher state of knowledge. Therefore, what is imprecise, what is blurry, does not have to be inexact.


In logic, a thing is true or false, but it cannot be both Phone Number List   things at the same time, while in blurriness studies they assign fundamental importance to the “degree” or level of grasping reality. What we can demand from the models that we build to represent general or particular situations is that they be as faithful as possible to what we perceive. that even without being able to measure formally or through probability, one can also aspire to know rational behavior.





Chance and uncertainty in the company Uncertainty and randomness are words that are often used interchangeably even in a scientific setting. However, there is a differentiation between what is not measurable and what is measurable. The main mathematical tool for the treatment of uncertainty is the theory of fuzziness and valuation with its many variants, while the one related to chance is the theory of probabilities.

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