The paper proposes a diagnostic method using possibility theory. According to possibility theory, fuzzy set A on a set of possible causes U, B on possible symptoms V, and a fuzzy relation R on U ́V could be understood as possibility distributions pU(ui), pV(vj) and a conditional possibility distribution pV1⁄2U(vj1⁄2ui), respectively. In this paper, we define diagnosis as a problem to obtain poss...

The framework of Petri nets is extended with imprecise temporal properties. Possibility theory is applied to model imprecise time by time-stamping tokens and assigning durations to firing of the transitions.

In this paper, we consider several types of in­ formation and methods of combination asso­ ciated with incomplete probabilistic systems. \Ve discriminate between 'a priori' and evi­ dential information. The former one is a de­ scription of the whole population, the latest is a restriction based on observations for a particular case. Then, we proposse different combination methods for each one o...

In Conceptual Spaces (Gärdenfors 2000), dimensions and their relations provide a topological representation of a concept’s constituents and their mode of combination. Consequently, as concepts are ndimensional geometrical structures, conceptual change denotes the dynamic development of these structures. Following this basic assumption, we apply conceptual spaces to the dynamics of empirical the...

and the management of linguistically expressed uncertainty. Int.

Possibilistic networks are important tools for modelling and reasoning, especially in the presence of imprecise and/or uncertain information. These graphical models have been successfully used in several real applications. Since their construction by experts is complex and time consuming, several researchers have tried to learn them from data. In this paper, we try to present and discuss releva...

This paper proposes a new Information Retrieval Model based on possibility and necessity measures. This model encodes relationship dependencies existing between terms, documents and query by possibilistic networks. The user’s query triggers a propagation process to retrieve necessarily or at least possibly relevant documents.

Many physical theories accurately predict which events are possible and which are not, or – in situations where probabilistic (e.g., quantum) effects are important – predict the probabilities of different possible outcomes. At first glance, it may seem that this probabilistic information is all we need. We show, however, that to adequately describe physicists’ reasoning, it is important to also...