On possibilistic representations of fuzzy intervals

Possibilistic evaluation of fuzzy temporal intervals

The study of fuzzy intervals is of particular interest in temporal database research. In order to optimize the storage of fuzzy temporal intervals, some transformations have been proposed. In this paper we analyze the possibilistic evaluation of the ill-known temporal intervals. We propose a framework to deal with the evaluation of ill-known temporal intervals. It is shown how the reasoning beh...

Bipolar Possibilistic Representations

Recently, it has been emphasized that the possibility theory framework allows us to dis­ tinguish between i) what is possible because it is not ruled out by the available knowledge, and ii) what is possible for sure. This distinc­ tion may be useful when representing knowl­ edge, for modelling values which are not im­ possible because they are consistent with the available knowledge on the one ...

On Possibilistic Sequencing Problems with Fuzzy Parameters

In this paper a wide class of sequencing problems with imprecise parameters is discussed. The imprecision is modeled by using closed intervals and fuzzy intervals, whose membership functions are regarded as possibility distributions for the values of unknown parameters. A possibilistic interpretation of fuzzy problems is provided, some solution concepts are proposed and some algorithms for comp...

A Possibilistic View on Fuzzy Control

Possibilistic KNN Regression Using Tolerance Intervals

By employing regression methods minimizing predictive risk, we are usually looking for precise values which tends to their true response value. However, in some situations, it may be more reasonable to predict intervals rather than precise values. In this paper, we focus to find such intervals for the K-nearest neighbors (KNN) method with precise values for inputs and output. In KNN, the predic...