Fuzzy Logic Education

In general, engineering, geological, social, and economic and medicine sciences rather than numbers, qualitative descriptions are dominant at initial information in any reconnaissance study with descriptive linguistic explanations. Ordinary people without proper education think in a fuzzy manner because they do not have 

In fuzzy logic, the fundamental significance is not the sub-categorization, but the relationships among them. One can summarize that for fuzzy investigation of any phenomenon the following steps are a priori necessities. 

It is possible to relate each one of these variables to the groundwater storage property and fuzzy pair wise logical statements might appear as follows  

IF rock type is igneous THEN storage is negligible , 

IF rock type is metamorphic THEN storage is moderate , 

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Yen, J. Langari, R. Fuzzy Logic Intelligence, Control and Information Pearson Education New Delhi, 2006. 

The consequent part comes after the word THEN, which includes the final decision or deduction. A good statement is one whose conclusion follows from its antecedent part. Such logical propositions are at the fundamentals of any education system alsply or in fuzzy manner. However, in practical life almost all deeds include uncertainty, and hence, fuzziness to a certain extent. Even crisp statanents are cleaned out (defuzzification) from the fuzzy counterparts. 

Traditionally in any education system crisp logic is much easier to reach to a common agreement because at the end it provides truth and precision even though in the idealized world. However, the classical education system renders the students to become acquaintant with precision by saying that science provides precision, which is not acceptable absolutely. Fuzzy education system provides open-mindedness in the argument of any problem and open for further criticisms, which helps to improve the present solution alternative, if any. 

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