Compound conditionals, Fr\'echet-Hoeffding bounds, and Frank t-norms
Angelo Gilio, Giuseppe Sanfilippo

TL;DR
This paper explores the probabilistic interpretation of Frank t-norms and bounds for compound conditionals, establishing their coherence and sharpness under logical independence, and providing explicit solutions and examples.
Contribution
It introduces a probabilistic interpretation of Frank t-norms and bounds for compound conditionals, with explicit solutions and coherence analysis under logical independence.
Findings
Frank t-norms interpret conjunctions of conditional events.
Coherence of prevision assessments verified for certain t-norms.
Counterexample shows Lukasiewicz t-norm may lack coherence.
Abstract
In this paper we consider compound conditionals, Fr\'echet-Hoeffding bounds and the probabilistic interpretation of Frank t-norms. By studying the solvability of suitable linear systems, we show under logical independence the sharpness of the Fr\'echet-Hoeffding bounds for the prevision of conjunctions and disjunctions of conditional events. We study the set of all coherent prevision assessments on a family containing conditional events and their conjunction, by verifying that it is convex. We discuss the case where the prevision of conjunctions is assessed by Lukasiewicz t-norms and we give explicit solutions for the linear systems; then, we analyze a selected example. We obtain a probabilistic interpretation of Frank t-norms and t-conorms as prevision of conjunctions and disjunctions of conditional events, respectively. Then, we characterize the sets of coherent prevision…
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