A new solution methodology for fuzzy relation equations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1415, Issue , 1998, Pages 210-219

  Tzafestas, Spyros G ^a   Stamou, Giorgos B ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FUZZY SYSTEMS;

FUZZY RELATION EQUATIONS; GENERAL METHODOLOGIES; PROCESS INFORMATION; SOLUTION EXISTENCE; SOLUTION METHODOLOGY; SOLUTION SET; TRIANGULAR NORMS;

EXPERT SYSTEMS;

EID: 84861575877     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-64582-9_750     Document Type: Conference Paper

References (8)

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2. Di Nola, A., et al., Fuzzy relation equations and their application to knowledge engineering (Kluwer Academic Press, Dordrecht, 1989).
3. Klir, G.J. and Yuan, B., Fuzzy sets and fuzzy logic: theory and applications (Prentice Hall PTR, USA, 1995).
4. Pappis, C.P., and Sugeno, M., Fuzzy relation equations and the inverse problem, Fuzzy Sets and Systems 15 (1985) 79-90.
5. Pedrycz, W., Processing in relational structures: fuzzy relational equations, Fuzzy Sets and Systems 25 (1991) 77-106.
6. Peeva, K., Fuzzy linear systems, Fuzzy Sets and Systems 49 (1992) 339-355.
7. Sanchez, E., Resolution of composite fuzzy relation equations, Information and Control 30 (1976) 38-48.
8. Stamou, G. and Tzafestas, S., Resolution of sup-t fuzzy relation equations, submitted.