FUZZIFICATION - DECISION MAKING IN TERMS OF UNCERTAINTY

Abstract

The theory of fuzzy sets allows to analyze insufficiently precise, accurate, complete phenomena
which can not be modeled by the theory of probability or interval mathematics. We define fuzzy sets
as sets where the boundary of the set is unclear and depends on subjective estimation or individual
preference. In addition to the standard interpretation scale, described above, a set of numbers to
each qualitative attribute must be assigned. In addition to the standard interpretation scale a set of
numbers to each qualitative attribute must be assigned. First of all, it is necessary to determine the
procedure for determining fuzzy numbers describing the attributes. One of the imperfections of the
fuzzy sets is subjectivism when defining the boundaries of fuzzy sets and functions of belonging,
which can significantly influence the final decision. The decision maker’s subjectivity is also present
in the determination of weighted coefficients. However, in case of giving weight, fixed values are
necessary. Some decisions require multidisciplinary knowledge, so the decision-making process
includes more group decision-makers, who independently give their grades.