Fuzzy Logic Theory and Applications in Uncertainty Management of Linguistic Evaluations for Students

Fuzzy logic can deal with information arising from perception and cognition that is uncertain, imprecise, vague, partially true, or without sharp boundaries. Fuzzy logic can be used for assigning linguistic grades and for decision making and data mining with those linguistic grades by teachers, instructors, and professors. Many aspects of fuzzy logic including fuzzy sets, linguistic variables, fuzzy rules, fuzzy math, fuzzy database queries, computational theory of perceptions, and computing with words are useful in uncertainty management of linguistic evaluations for students. This chapter provides many examples of this after describing the theory of fuzzy logic.

THE TECHNOLOGY OF CHOOSING CNC MACHINE CONTROL METHOD UNDER UNCERTAINTY

Problem. A big market saturation makes very hard finding for optimal solution for manufacture, besides you’ve to take look not only at CNC machines and its parameters but also at CNC machine control methods. By CNC machine control methods means methods for creating controlling programs. The main methods are manual programming, programming by CNC stand, programming with CAD/CAM systems. Goal. The goal of the paper is to ease choosing the CNC machine control method by developing the technology of choosing the CNC machine control method under uncertainty. Methodology. The article has categorized the types of CNC machines and their control methods. Based on system analysis of currently existed works, was created an algorithm, fuzzy math model which consists of fuzzy input and fuzzy output, and the technology of choosing the CNC machine control method itself. Results. Generalized and partial problems of choosing the CNC machine control methods are formulated; the fuzzy math logic model is developed; an algorithm based on the developed fuzzy math logic model is created and further implemented in the technology of choosing the CNC machine control method under uncertainty. Originality. The fuzzy logic math methods have developed in a new subject. Were defined linguistic variables for the CNC parameters, generalized fuzzy input, and output for choosing the CNC control method under uncertainty. Previously generalized fuzzy input and output has been transformed into an algorithm. Practical value. A created algorithm that was based on fuzzy math logical model was added to the technology of choosing the CNC machine control method under uncertainty.