Entity Attribute Value (EAV) is the widely used solution to represent high dimensional and sparse data, but EAV is not search efficient for knowledge extraction. In this paper, we have proposed a search efficient data model: Optimized Entity Attribute Value (OEAV) for physical representation of high dimensional and sparse data as an alternative of widely used EAV. We have implemented both EAV a...

Keeping track of continually changing information has been investigated since Yntema & Mueser's (1960) seminal work. The fact that types of mappings between objects and values and of memory load affect performance are well established, but have never been integrated in a theory. As a step toward such a theory, this paper describes a mathematical model that combines a task analysis with a set of...

In the commonly adopted data models (as ins entity-relationship data model 111, for example) an attribute is a mapping between an entity set or a relationship set and a value set. The intension of a mapping property is given implicitly or explicitly in the data models, but the extension can be generally represented by the set I), as in the relational model. We propose an alternati...

during recent years, determining appropriate strategy in the supply chain has become an important strategic issue. however, the nature of these decisions usually is complex and unstructured. to determine the best supply chain strategy, many quantitative and qualitative attributes such as cost, responsiveness and flexibility can be taken into account. in order to approximate the human subjective...

Animation is ubiquitous in visualization systems, and a common technique for creating these animations is the transition. In the transition approach, animations are created by smoothly interpolating a visual attribute between a start and end value, reaching the end value after a specified duration. This approach works well when each transition for an attribute is allowed to finish before the ne...

This paper presents a Multi-Attribute Decision Support System aimed at aiding decision-makers in identifying optimal alternatives in complex decision-making problems. The system is based on a multi-attribute additive value model and admits imprecise assignments concerning weights and utilities and uncertainty about the multi-attribute alternatives. Different sensitivity analyses are possible ov...

Title of Dissertation: OPTIMAL BUDGET-CONSTRAINED SAMPLE ALLOCATION FOR SELECTION DECISIONS WITH MULTIPLE UNCERTAIN ATTRIBUTES Dennis D. Leber, Doctor of Philosophy, 2016 Dissertation directed by: Professor Jeffrey W. Herrmann Department of Mechanical Engineering A decision-maker, when faced with a limited and fixed budget to collect data in support of a multiple attribute selection decision, m...