Displaying similar documents to “A modified rough set approach to incomplete information systems.”

A rough set-based knowledge discovery process

Ning Zhong, Andrzej Skowron (2001)

International Journal of Applied Mathematics and Computer Science

Similarity:

The knowledge discovery from real-life databases is a multi-phase process consisting of numerous steps, including attribute selection, discretization of real-valued attributes, and rule induction. In the paper, we discuss a rule discovery process that is based on rough set theory. The core of the process is a soft hybrid induction system called the Generalized Distribution Table and Rough Set System (GDT-RS) for discovering classification rules from databases with uncertain and incomplete...

Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems

Dinh, Vu Van, Giang, Nguyen Long (2013)

Serdica Journal of Computing

Similarity:

A rough set approach for attribute reduction is an important research subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision system table. In this paper, we propose methods for attribute reduction in static incomplete decision systems and dynamic incomplete decision systems with dynamically-increasing and decreasing conditional attributes. Our methods use generalized discernibility matrix and function in tolerance-based...

User Profiling for the Web

Miha Grčar, Dunja Mladenič, Marko Grobelnik (2006)

Computer Science and Information Systems

Similarity:

Data mining techniques using decision tree model in materialised projection and selection view.

Y. W. Teh (2004)

Mathware and Soft Computing

Similarity:

With the availability of very large data storage today, redundant data structures are no longer a big issue. However, an intelligent way of managing materialised projection and selection views that can lead to fast access of data is the central issue dealt with in this paper. A set of implementation steps for the data warehouse administrators or decision makers to improve the response time of queries is also defined. The study concludes that both attributes and tuples, are important...

Statistical and decision theoretic aspects of examination assessment.

Simon French (1989)

Trabajos de Estadística

Similarity:

At a recent conference in Innsbruck, held in memory of Bruno De Finetti, attention focused on one of his aphorisms: analysts should think about things. This paper seeks to do precisely that in the context of public examinations in England and Wales. It attempts to think about those quantitative things that are done to marks in the process of assessing candidate scripts. Public examinations are central to our education system: hundreds of thousands of candidates enter them every year....

Production planning in data envelopment analysis without explicit inputs

Alireza Amirteimoori, Behrooz Daneshian, Sohrab Kordrostami, Kambiz Shahroodi (2013)

RAIRO - Operations Research - Recherche Opérationnelle

Similarity:

In the performance measurement using tools such as data envelopment analysis (DEA), data without explicit inputs has attracted considerable attention among researchers. In such studies the problem of production planning in the next production season is an important and interesting subject. Because of the uncertain nature of the future, decision makers need to provide robust procedures in order to examine alternative courses of action and their implications. The purpose of this paper...

DFIS: A novel data filling approach for an incomplete soft set

Hongwu Qin, Xiuqin Ma, Tutut Herawan, Jasni Mohamad Zain (2012)

International Journal of Applied Mathematics and Computer Science

Similarity:

The research on incomplete soft sets is an integral part of the research on soft sets and has been initiated recently. However, the existing approach for dealing with incomplete soft sets is only applicable to decision making and has low forecasting accuracy. In order to solve these problems, in this paper we propose a novel data filling approach for incomplete soft sets. The missing data are filled in terms of the association degree between the parameters when a stronger association...