Many decisions involve uncertainty, yet most decision support systems
(DSSs) and expert systems (ESs) are poorly equipped to deal with such
problems. This paper employs an abductive perspective to propose a pro
totype framework for tackling uncertainty handling in DSS and ES. Five
major features of such a framework, a user-friendly dialogue, a case-
base, a knowledge-base, approximate reasoning and a fuzzification/defu
zzification mechanism are presented and developed. These are supported
by an extended example.