A HYBRID METHOD, COMBINING HIERARCHIC AND COGNITIVE MODELS, FOR THE MODELING AND SIMULATION OF COMPLEX SYSTEMS
Keywords:
cognitive models, hierarchical structure, fuzzy numbers, cognitive map.Abstract
Complex decision making in a complex, dynamic environment is
often a very difficult task. Investigation into huge amount of
multivariate data is needed to extract and manipulate
information distributed within, so that decision making can be
soundly sustained.
References
Saathy Т, Kerns К. Analytic Planning. Systems
organization, Radio I Sviaz, 1991
Makeev S., Shahnov I. Alternatives sequencing on the base
of fuzzy Estimations, CS RAS,1990
Makeev S., Shahnov I. Objects sequencing in the
hierarchical systems, Izvestia RAN, N 3, 29 – 46,1991.
Jensen R.E., Comparison of eigenvector, least squares and
logarithmic least squares methods, EJOR, p.127, 1994.
Saathy, T.L., Vargas, L.G. Inconsistency and rank
preservation, Journal of Mathematical Psychology, vol. 28, pp.
- 214, 1984.
Saaty, T.L., Multicriteria Decision Making - The Analytic
Hierarchy Process, RWS Publications, 2nd edition, 1990.
Kasabov, N. Learning fuzzy rules and approximate
reasoning in fuzzy neural networks and hybrid systems, Fuzzy
Sets and Systems, 82 (2), 2-20, 1995.
