Title :
Cube diagram bundles: a new representation of strongly unspecified multiple-valued functions and relations
Author :
Grygiel, S. ; Perkowski, M. ; Marek-Sadowska, M. ; Luba, T. ; Jozwiak, Lech
Author_Institution :
Dept. of Electr. Eng., Portland State Univ., OR, USA
Abstract :
Efficient function representation is very important for speed and memory requirements of multiple-valued decomposers. This paper presents a new representation of multiple-valued relations (functions in particular), called multiple-valued cube diagram bundles (MVCDB). MVCDBs improve on rough partition representation by labeling their blocks with variable values and by representing blocks efficiently. The MVCDB representation is especially efficient for very strongly unspecified multiple-valued input, multiple-valued output functions and relations, typical for machine learning applications
Keywords :
Boolean functions; learning (artificial intelligence); logic design; multivalued logic; cube diagram bundles; function representation; machine learning; multiple-valued decomposers; multiple-valued relations; rough partition representation; strongly unspecified multiple-valued functions; Automata; Boolean functions; Calculus; Data structures; Databases; Labeling; Machine learning; Partitioning algorithms; Sequential circuits; Telecommunication computing;
Conference_Titel :
Multiple-Valued Logic, 1997. Proceedings., 1997 27th International Symposium on
Conference_Location :
Antigonish, NS
Print_ISBN :
0-8186-7910-7
DOI :
10.1109/ISMVL.1997.601416
