Abstract
In solving various real-world decision situations, it is necessary to handle uncertainties efficiently and effectively. In the past, rule-based expert systems have been used for handling uncertainty in such problems. Generally, the expert systems are based on classical logic and developers need to add special methods for handling uncertainty. Some of the methods used for handling uncertainty in expert systems include heuristic approaches, probability theory, possibility theory, and fuzzy theory. Fuzzy reasoning and logic offers a more natural way of handling uncertainty. All propositions can be modeled by possibility distributions over appropriate domains.Fuzzy reasoning processis similar tohuman logical reasoning. This paper presents a fuzzy version ofanalytic hierarchy processto country risk assessment problem.
Recommended Citation
(2003)
"Fuzzy-AHP Application to Country Risk Assessment,"
American Business Review: Vol. 21:
No.
2, Article 2.
Available at:
https://digitalcommons.newhaven.edu/americanbusinessreview/vol21/iss2/2
