Conditional Independence in Possibility Theory
Pascale Fonck

TL;DR
This paper explores possibilistic conditional independence, defining it similarly to probability theory, analyzing its properties, and examining how different conjunctions affect the conditional measure of possibility.
Contribution
It introduces a possibilistic conditional independence definition, investigates its properties, and analyzes the impact of various conjunctions on the conditional measure.
Findings
Links between independence and non-interactivity are established.
Properties of possibilistic independence are characterized.
The influence of different conjunctions on conditional measures is analyzed.
Abstract
Possibilistic conditional independence is investigated: we propose a definition of this notion similar to the one used in probability theory. The links between independence and non-interactivity are investigated, and properties of these relations are given. The influence of the conjunction used to define a conditional measure of possibility is also highlighted: we examine three types of conjunctions: Lukasiewicz - like T-norms, product-like T-norms and the minimum operator.
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Taxonomy
TopicsBayesian Modeling and Causal Inference · Multi-Criteria Decision Making · Rough Sets and Fuzzy Logic
