Papers by Keyword: Attribute Data

Abstract: In this study, we propose EWMA control charts to monitor two dependent process stages with attribute data. The detection ability of the EWMA control charts is compared to those of Shewhart attribute control charts and cause selecting control chart by different correlation. Numerical example and simulation study show that the EWMA control charts have better performance compared to Shewhart attribute control charts and cause selecting control charts.

Abstract: Up to now, several methods have been proposed for monitoring processes with attribute data. These methods can be categorized into two major group; statistical methods and fuzzy methods. In this paper current fuzzy methods are introduced and the performance of fuzzy methods and statistical methods are compared together based on the Average Run Length (ARL). The comparison shows that the statistical method has the best performance. We show the necessity of using fuzzy method in case of attribute data. Then the critiques towards fuzzy methods are reviewed which show the usage of fuzzy set theory in these methods have some restriction. As a result we indicate a study gap about the usage of fuzzy set theory for monitoring processes with attribute data and at the end some guideline for the next study are proposed.

Abstract: GIS attribute data is the property of GIS entity, it has fuzziness and uncertainty. The binary relation for GIS entity object and attribute is meet to the property for approximate space. We choose the object and attribute of GIS information system in our study, use lattice concept, and we think the GIS entities can form partial order relation, and lattice(P(A), ) can form one complete partial order lattice. GIS entities can form hierarchical approximate space in subsection space relation, and the knowledge granularities are thining along with the increasing of attribution.