doi:10.33899/iqjoss.2011.28380

Since 1960s, the concept of fuzzy logic was utilized in the various fields and practical applications, industrial, medical, computer sciences, decision- making…etc. The concept aims at finding a method for solving highly complicated and vague issues which cannot be analyzed relying on pure traditional mathematical methods. Without relying on a statistical or mathematical model fuzzy logic implies estimation and assessment that illustrate interrelations with variables. Hence, the analyzer can instruct and teach these systems, making the right decisions depending on ongoing experiences. On the other hand statistical methods – for example the discriminate Analysis –used to derive a mathematical model for estimation, and we can define this model as a linear function in a set of variables. The aim of this paper is to use each of the fuzzy-logic and discriminate analysis in data mining for service subscribers The theoretical aspects of the research tackle the concept of fuzzy logic and membership function to the fuzzy group as well as the utilization of fuzzy logic in controlling the bandwidth frequency in data mining web.

Abstract licence: CC BY

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