Imprecise input data imposes special challenges to grid scheduling. This paper introduces a novel scheduler based on fuzzy optimization called IP-FULL-FUZZY which considers uncertainties of both application demands and of resource availability. The effectiveness of the proposed scheduler is compared to that of three non-fuzzy schedulers, as well as to that of a fuzzy scheduler which considers o...

The likelihood approach to statistics can be interpreted as a theory of fuzzy probability. This paper presents a generalization of credal networks obtained by generalizing imprecise probabilities to fuzzy probabilities; that is, by additionally considering the relative plausibility of different values in the probability intervals.

Dempster-Shafer theory allows to construct belief functions from (precise) basic probability assignments. The present paper extends this idea substantially. By considering sets of basic probability assignments, an appealing constructive approach to general interval probability (general imprecise probabilities) is achieved, which allows for a very flexible modelling of uncertain knowledge.

The main aim of the paper is to define what the imprecise reliability is, what problems can be solved by means of a framework of the imprecise reliability. From this point of view, various branches of reliability analysis are considered, including analysis of monotone systems, repairable systems, multistate systems, structural reliability, software reliability, human reliability, fault tree ana...

Many software test generation techniques target on generating software test data. Only a few of them provide automatic way to verify if software behaves correctly using generated test data. We propose a testing technique, which uses UML modeling language extension OCL as imprecise test oracle. Imprecise OCL constraints can be viewed as expressions which define expected results within some range...

Abstract The classical credibility theory is a cornerstone of experience rating, especially in the field property and casualty insurance. An obstacle to putting into practice conversion available prior information precise choice crucial hyperparameters. In most real-world applications, necessary justify lacking, so we propose an imprecise estimator that honestly acknowledges imprecision hyperpa...