Abstract The Parable Proxy of Possibilities is an innovation framework that enables
organizations to safely interrogate the perspectives that materialize and maintain the status …

Uncertainty often pervades information and knowledge. For this reason, the handling of
uncertainty in inference systems has been an issue for a long time in artificial intelligence …

Possibility theory stands halfway between logical and probabilistic representation
frameworks. Possibility theory, as a setting for handling epistemic uncertainty, may have a …

This chapter provides an overview of possibility theory, emphasizing its historical roots and
its recent developments. Possibility theory lies at the crossroads between fuzzy sets …

Due to its major focus on knowledge representation and reasoning, artificial intelligence was
bound to deal with various frameworks for the handling of uncertainty: probability theory, but …

This paper provides an overview of possibility theory, emphasizing its historical roots and its
recent developments. Possibility theory lies at the crossroads between fuzzy sets, probability …

In real-world problems, input data may be pervaded with uncertainty. In this paper, we
investigate the behavior of naive possibilistic classifiers, as a counterpart to naive Bayesian …

The derivation of mathematical models that can efficiently describe real-world problems is
generally an overwhelming or even impossible task, due to the complexity and inherent …

An accepted belief is a proposition considered likely enough by an agent, to be inferred from
as if it were true. This paper bridges the gap between probabilistic and logical …

Naïve Bayesian network classifiers have proved their effectiveness to accomplish the
classification task, even if they work under the strong assumption of independence of …