[PDF][PDF] Rough sets: A tutorial

J Komorowski, Z Pawlak, L Polkowski… - … fuzzy hybridization: A …, 1999 - academia.edu
A rapid growth of interest in rough set theory [297] and its applications can be lately seen in
the number of international workshops, conferences and seminars that are either directly …

Fault diagnosis using rough sets theory

L Shen, FEH Tay, L Qu, Y Shen - Computers in industry, 2000 - Elsevier
The fault diagnosis on diesel engine is a difficult problem due to the complex structure of the
engine and the presence of multi-excite sources. Usually, one method of fault diagnosis can …

Applying rough sets to market timing decisions

L Shen, HT Loh - Decision support systems, 2004 - Elsevier
A lot of research has been done to predict economic development. The problem studied
here is about the stock prediction for use of investors. More specifically, the stock market's …

Fault diagnosis based on rough set theory

FEH Tay, L Shen - Engineering applications of artificial intelligence, 2003 - Elsevier
In contingency management of a complex system, identification of error condition or faults
diagnosis is a very important stage. It determines the methods and techniques to be applied …

Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic

S Tsumoto - Information sciences, 2000 - Elsevier
Rule induction methods have been proposed in order to discover knowledge automatically
from databases. However, conventional approaches do not focus on the implementation of …

Comparison of decision tree-fuzzy and rough set-fuzzy methods for fault categorization of mono-block centrifugal pump

NR Sakthivel, V Sugumaran, BB Nair - Mechanical systems and signal …, 2010 - Elsevier
Mono-block centrifugal pumps are widely used in a variety of applications. In many
applications the role of mono-block centrifugal pump is critical and condition monitoring is …

Automated discovery of positive and negative knowledge in clinical databases

S Tsumoto - IEEE Engineering in Medicine and Biology …, 2000 - ieeexplore.ieee.org
Describes a rule-induction method based on rough-set models that more closely represents
medical experts' reasoning. The characteristics of two measures, classification accuracy and …

Modelling medical diagnostic rules based on rough sets

S Tsumoto - International conference on rough sets and current …, 1998 - Springer
This paper discusses the characteristics of medical reasoning and shows the representation
of these diagnostic models by the use of rough set theory. The key ideas are both a variable …

Supporting emergency medical care teams with an integrated status display providing real-time access to medical best practices, workflow tracking, and patient data

PL Wu, MY Nam, J Choi, A Kirlik, L Sha… - Journal of medical …, 2017 - Springer
The work of a hospital's medical staff is safety critical and often occurs under severe time
constraints. To provide timely and effective cognitive support to medical teams working in …

Database issues in knowledge discovery and data mining

C Rainsford, J Roddick - Australasian Journal of Information …, 1999 - journal.acs.org.au
In recent years both the number and the size of organisational databases have increased
rapidly. However, although available processing power has also grown, the increase in …