Some thoughts on the use of imprecision in intelligent systems are presented. Examples from knowledge-based systems, robotics and manufacturing are used to illustrate several methods that artiicial intelligence proposes in order to model imprecision.

Quality assurance of exposure biomarkers usually focuses on laboratory performance only. Using data from a prospective birth cohort study in the Faroe Islands, we have assessed the total imprecision of exposure biomarkers. As biomarkers of prenatal methylmercury exposure, mercury concentrations were determined in cord blood, cord tissue, and maternal hair. We determined their mutual correlation...

Quantitative measurement of β-amyloid from amyloid PET scans typically relies on localizing target and reference regions by image registration to MRI. In this work, we present a series of simulations where 50 small random perturbations of starting location and orientation were applied to each subject's PET scan, and rigid registration using spm_coreg was performed between each perturbed PET sca...

BACKGROUND Total error allowances have been proposed for glucose meters used in tight-glucose-control (TGC) protocols. It is unclear whether these proposed quality specifications are appropriate for continuous glucose monitoring (CGM). METHODS We performed Monte Carlo simulations of patients on TGC protocols. To simulate use of glucose meters, measurements were made hourly. To simulate CGM, g...

in order to have better insight of project characteristics, different kinds of fuzzy analysis for project networks have been recently proposed, most of which consider activities duration as the main and only source of imprecision and vagueness, but as it is usually experienced in real projects, the structure of the network is also subject to changes. in this paper we consider three types of imp...

A decentralized multiagent system comprises agents who act autonomously based on local knowledge. Achieving coordination in such a system is nontrivial, but is essential in most applications, where disjointed or incoherent behavior would be undesirable. Coordination in decentralized systems is a richer phenomenon than previously believed. In particular, ve major attributes are crucial: the exte...

Different sources of imprecision in connection with both empirical data or models may arise in statistical data analysis. Such an imprecision is frequently connected with linguistic data, expert opinions, perceptions as well as various kinds of ill-observed data or non-precisely defined concepts. Fuzzy sets, intervals, belief functions, random sets or imprecise probability models have been used...

The National Cholesterol Education Program (NCEP) performance specifications for methods that measure triglycerides, HDL-cholesterol, and LDL-cholesterol have been evaluated by deriving operating specifications from the NCEP analytical total error requirements and the clinical requirements for interpretation of the tests. We determined the maximum imprecision and inaccuracy that would be allowa...