The application of quality function deployment method can meet the customers’ requirement, and optimize the enterprise product design. Based on the house of product design, the paper adopts the interval two-tuple linguistic model and possibility theory, and constructs the correlation matrix of product design and customer requirement for cars, then the important sequence of design elements: engi...

The study of risk aversion of an agent confronted by a risk situations with several parameters is an important topic of risk theory. It is tackled traditionally with probabilistic methods. When these do not offer an appropriate shaping we can use Zadeh’s possibility theory . In this paper a possibilistic model of risk aversion with several parameters is proposed. The notion of possibilistic ris...

The combination of a modal verb and a modal adverb that is similar in modal force (possibility/necessity) and flavor (epistemic/deontic, etc.) allows a concord interpretation in which the two modals somehow ‘fuse’ and communicate just a single modality. This paper presents a case study of modal concord, as it is exemplified in Dutch. It seems that speakers of this language tend to add modal adv...

This article deals with the compact representation of incomplete probabilistic knowledge which can be encountered in risk evaluation problems, for instance in environmental studies. Various kinds of knowledge are considered such as expert opinions about characteristics of distributions or poor statistical information. Our approach is based on probability families encoded by possibility distribu...

An experiment was conducted in order to evaluate what normative framework is pertinent for dealing with confidence judgements in human experts. 24 films were shown to 4 experimented radiologists. A specific apparatus was designed in order to obtain diagnoses and the associated confidence judgements. With regard to methodology, results showed that confidence judgements under the form of a subjec...

Fuzzy relation-based models for handling uncertainty (in a non-probabilistic way) in diagnosis problems have been introduced by Sanchez about twenty years ago, and since then applied and developed by several researchers. The paper first reviews the existing proposals, also including the association-based abductive model proposed by Reggia and his co-workers, which uses non-fuzzy relations. A ne...

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...