Klaus Lukas,
"Linguistic Approximation and Fuzzy Logic: Current Methods and a
New Approach using Neural Networks"
, 3-1994, K. Lukas. Linguistic Approximation and Fuzzy Logic: Current Methods and a
New Approach using Neural Networks. Master's thesis, Johannes Kepler University, March 1994.

Original Titel:

Linguistic Approximation and Fuzzy Logic: Current Methods and a
New Approach using Neural Networks

Sprache des Titels:

Englisch

Englischer Titel:

Linguistic Approximation and Fuzzy Logic: Current Methods and a
New Approach using Neural Networks

Englische Kurzfassung:

This thesis describes the problem of linguistic
approximation in fuzzy logic and discusses the existing
approaches with their strengths and weaknesses.
After basic mathematical definitions (fuzzy sets and
operations on them, different types of fuzzy sets,
equality and similarity of fuzzy sets) are described, the
thesis focuses on techniques for linguistic modelling by
means of fuzzy set theory. The concept of a linguistic
variable, which plays an important role in the context of
linguistic modelling and linguistic approximation, is
discussed. The problem of linguistic approximation is then
defined and its applications are discussed. Great
importance is attached on the evaluation of these
approaches. Because none of the current methods is fully
satisfactory, there is a demand for other approaches.
The second part of the thesis is dedicated to a new
approach to the problem of linguistic approximation
proposed by the author using neural network technology.
The motivation of this approach is based on the numerous
weaknesses of the approaches to this problem. After a
brief description of the neural network frameworks used in
this thesis, the suggested procedure is described.
Finally, the program designed within the scope of this
thesis, which performs linguistic approximation by use of
neural networks, will be presented and the results will be
documented and evaluated.

Erscheinungsmonat:

3

Erscheinungsjahr:

1994

Notiz zum Zitat:

K. Lukas. Linguistic Approximation and Fuzzy Logic: Current Methods and a
New Approach using Neural Networks. Master's thesis, Johannes Kepler University, March 1994.