On Stability in Possibilistic Linear Equality Systems with Lipschitzian Fuzzy Numbers (1990)

by Robert Fullér
Venue:FUZZY SETS AND SYSTEMS
Citations:10 - 9 self

Active Bibliography

1 On stability in possibilistic linear equality systems with Lipschitzian fuzzy numbers – Robert Full Er, Robert Fullér - 1990
Full er R obert kutat asi eredm enyei: 1989-1997 1El osz o – Az Ota Publik, Fullér Róbert Kutatási Eredményei
4 Stability in Multiobjective Possibilistic Linear Programs – Robert Fullér, Mario Fedrizzi - 1984
1 Stability in Multiobjective Possibilistic Linear Programs with Weakly Noninteractive Fuzzy Number Coefficients – P. Eklund, M. Fedrizzi, R. Fullér - 1991
4 Well-Posed Fuzzy Extensions of Ill-Posed Linear Equality Systems – Robert Fullér
1 Capital budgeting problems with fuzzy cash flows – Christer Carlsson, Robert Fullér - 1999
1 On Zadeh's Compositional Rule of Inference – Robert Fullér, Hans-Jürgen Zimmermann - 1991
2 The Compositional Rule of Inference with Several Relations – Robert Fullér, Brigitte Werners - 1992
12 Stability in Possibilistic Linear Programming With Continuous Fuzzy Number Parameters – Mario Fedrizzi, Robert Fullér - 1984
Stability in Possibilistic Quadratic Programming – Elio Canestrelli, Robert Fullér, Silvio Giove
Flexible linear programs with a restricted overall flexibility level – Robert Fullér, Margit Kovács, György Schuster - 2002
1 A New Look at Linguistic Importance Weighted Aggregations – Christer Carlsson, Robert Fullér - 1998
Nomenclature – Ian Vasant, Arijit Bhattacharya, Ajith Abraham, Key Words
Optimization under fuzzy if-then rules ∗ – Christer Carlsson, Robert Fuller
Fuzzy Workflows- Enhancing Workflow Management with Vagueness – Otmar Adam, Oliver Thomas, Gunnar Martin
34 Imprecision in Engineering Design – Erik K. Antonsson, Kevin N. Otto - 1995
2 OWA Operators in Decision Making – Robert Fullér
2 A Validation Method using Fuzzy Simulation in an Object Oriented Physical Modeling Framework – Gyooseok Kim, Paul A. Fishwick
4 Investigation of Fuzzy Rule Interpolation Techniques and the Universal Approximation Property of Fuzzy Controllers – Domonkos Tikk, Advisor Prof, Lszl T. Kczy