We present a theoretical and computational study of the impact of inserting a new attribute and removing an old attribute in a DEA model. Our objective is to obviate a portion of the computational effort needed to process such model changes by studying how the efficient/inefficient status of DMUs is affected. Reducing computational efforts is important since DEA is known to be computationally i...

Attribute reduction is the process of selecting a minimal attribute subset from a problem domain while retaining a suitably high accuracy in representing the original attributes. In this work, we propose a new attribute reduction algorithm called record-to-record travel (RRT) algorithm and employ a rough set theory as a mathematical tool to evaluate the quality of the obtained solutions. RRT is...

A prototype design tool-chain (VARDA) for the ARD hierarchical rule design method is presented in the paper. It is implemented in the Unix environment using Prolog and Graphviz for design visualization. 1 Rule Design with ARD+ The HeKatE project (hekate.ia.agh.edu.pl) aims at providing design methods and tools that support a rule-based systems design process. Currently HeKatE supports a concept...

Recent literature reports the growing interests in data analysis using Formal Concept Analysis (FCA), in which data is represented in the form of object and attribute relations. FCA analyzes and then subsequently visualizes the data based on duality called Galois connection. Attribute exploration is a knowledge acquisition process in FCA, which interactively determines the implications holding ...

User attribute classification aims to identify users’ attributes (e.g., gender, age and profession) by leveraging user generated content. However, conventional approaches to user attribute classification focus on single attribute classification involving only one user attribute, which completely ignores the relationship among various user attributes. In this paper, we confront a novel scenario ...

in today’s global economy, the fundamental attribute of competitiveness have been driven from pecuniary capital to knowledge capital so that knowledge is known as the unique strategic resource to acquire competitive advantage. therefore, businesses that efficiently utilize existing knowledge within their organizations are expected to gain comparative advantage over their competitors. this resea...

The process of reducing the number of attributes from an information system is known as attribute reduction problem. The action of attribute reduction problem is an important step of pre-processing in data mining. In the attribute reduction process, reduction is performed with considerations for minimum information loss. Having a dataset with discrete attribute values, it is possible to find a ...