The concept of LFLC 2000 - its specificity, realization and power of applications

Linguistic Fuzzy Logic Controller (LFLC) 2000 is a complex tool for the design of linguistic descriptions and fuzzy control based on these descriptions. Unique methodology and theoretical results upon which is LFLC 2000 based are presented. Then, main purposes of it are sketched and some implementation aspects are discussed. Presentation of existing and perspective applications concludes the paper.

[1]  Vilém Novák,et al.  On the Extraction of Linguistic Knowledge in Databases Using Fuzzy Logic , 2000, FQAS.

[2]  Lotfi A. Zadeh,et al.  A rationale for fuzzy control , 1972 .

[3]  Antonín Dvorák,et al.  Defuzzification and chaining of rules in hierarchical fuzzy systems , 1999, EUSFLAT-ESTYLF Joint Conf..

[4]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  Vilém Novák,et al.  Object-oriented implementation of fuzzy logic systems , 1998, BASYS.

[6]  E. H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

[7]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[8]  Vilém Novák,et al.  Linguistic If-Then Rules in Large Scale Application of Fuzzy Control , 2000 .

[9]  V. Novák,et al.  Mathematical Principles of Fuzzy Logic , 1999 .

[10]  Siegfried Gottwald,et al.  Fuzzy Sets and Fuzzy Logic , 1993 .

[11]  Etienne E. Kerre,et al.  Fuzzy If-Then Rules in Computational Intelligence , 2000 .

[12]  Etienne E. Kerre,et al.  Defuzzification: criteria and classification , 1999, Fuzzy Sets Syst..

[13]  Irina Perfilieva.  Normal forms for fuzzy logic functions , 2003, 33rd International Symposium on Multiple-Valued Logic, 2003. Proceedings..

[14]  Vilém Novák,et al.  Antonyms and linguistic quantifiers in fuzzy logic , 2001, Fuzzy Sets Syst..

[15]  Antonín Dvorák,et al.  On linguistic approximation in the frame of fuzzy logic deduction , 1999, Soft Comput..

[16]  Irina Perfilieva,et al.  Normal forms for fuzzy logic functions and their approximation ability , 2001, Fuzzy Sets Syst..

[17]  Hamideh Afsarmanesh,et al.  Intelligent Systems for Manufacturing , 1998, IFIP — The International Federation for Information Processing.

[18]  Vilém Novák,et al.  Fuzzy logic deduction with crisp observations , 2004, Soft Comput..

[19]  Martine De Cock,et al.  LINGUISTIC MODIFIERS: AN OVERVIEW , 1999 .