Proceedings

A Fuzzy Modal Logic for Belief Functions

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Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 723-731.

Abstract

In this paper we introduce a new logical approach to reason explicitly about Dempster-Shafer belief functions. We adopt the following view: one just starts with Boolean formulas and a belief function on them; the belief of is taken to be the truth degree of the (fuzzy) proposition  standing for “is believed”. For our complete axiomatization (Hylbert-style) we use one of the possible definitions of belief, namely as probability of (modal) necessity. This enables us to define a logical system combining the modal logic S5 with an already proposed fuzzy logic approach to reason about probabilities. In particular, our fuzzy logic is the logic Ł   which puts Lukasiewicz and Product logics together.

Lluís Godo, Petr Hájek, and Francesc Esteva. 2001. A Fuzzy Modal Logic for Belief Functions. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01. IJCAI, 723–731. https://ijcai.org/proceedings/2001/99
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