Fuzzy Education System

is the proposition that includes the very strict logical statement with useful interrelationship among various categories in the antecedent (A) part with the consequent (C). Antecedent part is concerned with the conditional statement (causative part) between the two words IF. THEN. 

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. 

This statement can be considered as true provided that a set of assumption in the theory, formulation or algorithm is considered as true. It means that the validity of this statement is true in idealized world but not in real situation. However, additionally it would be better to teach engineers also that whatever is the problem for solution one should keep in mind that  

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. 

In this context, fuzzy education system is control system methodology that lends itself to implementation in systems ranging from simple, fast, economic, and systematic solutions. Fuzzy education system provides a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information, and hence, it also enables one to mimic decisions in a faster manner with consensus by taking the opinions of other experts. 

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In a modem and innovative educational system almost all the concepts must be provided with uncertainty flexibility (fuzzy) especially at the higher educational systems. It is fixed from the long history of science by experience that not only freedom of thinking, but also suspicion from scientific conclusions should be incorporated for better advancements. The very word of suspicion leads to expectation and even viewing scientific knowledge as uncertain. Hence, the basic principles in a modem and innovative educational system should include the following points, which are contrary to classical or traditional education. 

The presented method of subjective ship system risk estimation has been developed within a Ministry of Science and Higher Education research grant. Parts of the method dealing with estimation of the ship propulsion function loss were presented in more detail in publications (Brandowski et al. 2008 and Brandowski 2009). This paper deals mainly with estimation of the propulsion loss consequences. The estimation method is based exclusively on the judgements elicited by experts - experienced marine engineers. The method may be defined as fuzzy - numerical. The experts elicited their judgements partly in the numerical form (number of the ICF type events of propulsion loss in one year and the time at sea share in the ship active operation time) and partly in the linguistic form (the odds that specific consequences of the propulsion loss... 

Law C.K., (1996) Using Fuzzy Numbers in Educational Grading System , Fuzzy Sets and Systems, Vol. 83, pp. 311-323. 

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