FLIP++ a fuzzy logic inference processor library
FLIP++ is a fuzzy logic inference processor library. This C++ library was developed to perform calculations with uncertain data and priorities. It evaluates various types of rules, having different importances, from a hierarchy of rules for uncertain or precise data. It evaluates only those parts of the hierarchy needed for the result. The result itself has two forms: first a list of membership functions, and second a crisp value for fuzzy control. The library also contains the whole functionality needed to manage one or more sets of rules on all data. It is built to be easily adapted to new applications. Due to its quite general concept of classes it is possible to include it, for the purpose of fuzzy computations, in other systems.
KeywordsFuzzy control fuzzy constraint satisfaction problems compromising fuzzy qualitative modeling fuzzy multiple criteria decision making steelmaking application C++ library
Unable to display preview. Download preview PDF.
- 1.Markus Bonner, Stefan Mayer, Andreas Raggl, and Wolfgang Slany. FLIP++: A fuzzy logic inference processor library. In Workshop Notes of the IJCAI'95 Workshop on Fuzzy Logic in Artificial Intelligence, pages 83–92, Montreal, Canada, August 1995. URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/ijcai95wsflail.ps.gz.Google Scholar
- 2.Erich P. Klement. Operations on fuzzy sets and fuzzy numbers related to triangular norms. In Proceedings of the Eleventh International Symposium on Multiple-Valued Logic, pages 218–225, Norman, 1981. IEEE, New York.Google Scholar
- 3.Erich Peter Klement, Radko Mesiar, and Endre Pap. Associative compensatory operators. In Mario Fedrizzi, Erich P. Klement, Aldo Ventre, and Alessandro Zorat, editors, Proceedings of CIFT'94: Current Issues in Fuzzy Technologies: Decision Models and Systems, Trento, Italy, June 1994.Google Scholar
- 4.Wolfgang Slany. Fuzzy scheduling. CD-Technical Report 94/66, Christian Doppler Laboratory for Expert Systems, Technical University of Vienna, 1994. URL: ftp://ftp.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9466.ps.gz.Google Scholar
- 5.Wolfgang Slany. Scheduling as a fuzzy multiple criteria optimization problem. Fuzzy Sets and Systems, 78:197–222, 1996. URL: ftp://mira.dbai.tuwien.ac.at/pub/papers/slany/cd-tr9462.ps.gz.Google Scholar
- 6.Hans-Jürgen Zimmermann. Fuzzy Set Theory — and Its Applications. Kluwer Academic Publishers, 2nd, revised edition, 1991.Google Scholar