Title: Extending Fuzzy Logics to Support Decisions
Author: Wojciech Jamroga, Computer Science Group, Institute of Mathematics, University of Gdansk, Poland

In this paper a concept of evaluation schema for uncertain statements is proposed. The aim is to represent and process knowledge and to support decision making under uncertainty, involving the information with unmeasurable uncertainty in the reasoning process. This 'uncertainty logic' is based on fuzzy logics and Lukasiewicz three-valued logic, but it's underlied by a richer structure that makes more subtle analysis of statements possible. The logic is a kind of L-fuzzy logic formally. However, its ontological motivations are different.

Keywords: knowledge representation, reasoning under uncertainty, decision making, fuzzy logics, three-valued logic.

Computational Intelligence Group @ Technical University of Clausthal Home
Human Media Interaction Group @ University of Twente
Computer Science Group @ University of Gdansk Last modified 2000-04-11