Uncertainty in decision-making: An abductive perspective

Abstract 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 prototype 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/defuzzification mechanism are presented and developed. These are supported by an extended example.

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