In this paper we propose a fuzzy TOPSIS (Technique for Order Performance by Similarity to Idea Solution) model using O(m, n)-Trapezoidal Type Fuzzy Number (O(m,n)-Tr.T.F.N.) and possibility theory. An application in the form of an example to the vendor selection problem in supply chain management is presented towards the end of the paper to highlight the salient points in the proposed possibili...

Possibilistic networks offer a qualitative approach for modeling epistemic uncertainty. Their practical implementation requires the specification of conditional possibility tables, as in the case of Bayesian networks for probabilities. The elicitation of probability tables by experts is made much easier by means of noisy logical gates that enable multidimensional tables to be constructed from t...

We propose an epistemic logic in which knowledge is fully introspective and implies truth, although truth need not imply epistemic possibility. The logic is presented in sequential format and is interpreted in a natural class of partial models, called balloon models. We examine the notions of honesty and circumscription in this logic: What is the state of an agent thatònly knows '' and which ho...

In nonmonotonic reasoning, Lehmann's preferential System P is known to provide reasonable but very cautious conclusions, while the inference machinery may still remain too cautious or on the contrary provide counter-intuitive conclusions when using the rational closure inference. These two types of inference can be represented using a possibility theory-based semantics. Remedies to the above pr...

New semantics for numerical values given to possibility measures are provided. For epistemic possibilities, the new approach is based on the semantics of the transferable belief model, itself based on betting odds interpreted in a less drastic way than what subjective probabilities presupposes. It is shown that the least informative among the belief structures that are compatible with prescribe...

This paper presents a new fuzzy framework for main motion estimation in video sequences. The estimation is performed using a fuzzy representation of pixel gray levels. The motion is characterized by a set of parameters such as horizontal translation, rotation, etc. The method is based on a Hough-like vote procedure. In this scheme, the parametric space is discretized and each pixel votes for ea...

This paper proposes a general discussion of the handling of imprecise and uncertain information in temporal reasoning in the framework of fuzzy sets and possibility theory. The introduction of fuzzy features in temporal reasoning can be related to different issues. First, it can be motivated by the need of a gradual, linguistic-like description of temporal relations even in the face of complete...

This paper for the first time presents a parallel between two important theories for the treatment of information which address questions that are apparently completely different and that are studied by research communities that are fully distinct : the formal concept analysis theory on the one hand and the abstract theory of argumentation on the other hand. These two theories exploit a binary ...

W hen we work with information from mul­ tiple sources, the formalism each employs to handle uncertainty may not be uniform. In order to be able to combine these knowl­ edge bases of different formats, we need to first establish a common basis for character­ izing and evaluating the different formalisms, and provide a semantics for the combined mechanism. A common framework can pro­ vide an inf...