Kansei Engineering and Rough Sets Model

2006 ◽  
pp. 27-37 ◽  
Author(s):  
Mitsuo Nagamachi
Keyword(s):  
Rough Sets ◽  
Kansei Engineering

Research on the Method of Style Knowledge Acquisition Based on the Kansei Engineering

2011 ◽  
Vol 204-210 ◽  
pp. 946-949
Author(s):  
Xi Zhao ◽  
Jiang Xu ◽  
Fu Qian Shi
Keyword(s):  
Knowledge Acquisition ◽  
Rough Sets ◽  
Evaluation System ◽  
Attribute Reduction ◽  
Kansei Engineering ◽  
Web Based ◽  
Feature Sets ◽  
Attribute Analysis ◽  
Knowledge Rules ◽  
Form Features

To solve the problem of the uncertain style knowledge acquisition during the product designing, the information model oft style with Kansei Engineering and a reduct approach to style information based on rough sets is introduced. On the basis of the attribute analysis of form features and the image semantic extractions by the web-based style evaluation system. In the system the evaluate information of style is obtained and the decision-making table is constructed. And then the valuable knowledge rules represented the typical product style are acquired through the attribute reduction algorithm. Finally, the attribute feature sets related to the different style image could be presented. Typical Ming-style chairs as an example to show that the method is effective and feasible.

BUSINESS FAILURE PREDICTION USING ROUGH SETS: A COMPARISON WITH MULTIVARIATE ANALYSIS TECHNIQUES

1999 ◽  
Vol 04 (01) ◽  
Author(s):  
C. Zopounidis ◽  
M. Doumpos ◽  
R. Slowinski ◽  
R. Susmaga ◽  
A. I. Dimitras
Keyword(s):  
Multivariate Analysis ◽  
Rough Sets ◽  
Failure Prediction ◽  
Business Failure ◽  
Analysis Techniques

Approximation Sets of Rough Sets

2012 ◽  
Vol 23 (7) ◽  
pp. 1745-1759 ◽  
Author(s):  
Qing-Hua ZHANG ◽  
Guo-Yin WANG ◽  
Yu XIAO
Keyword(s):  
Rough Sets

Analysing diabetes using rough sets

2020 ◽  
pp. 533-538
Author(s):  
S. Arjun Raj ◽  
M. Vigneshwaran
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Sets ◽  
Rough Set Theory ◽  
International Diabetes Federation ◽  
Published Data ◽  
Lower And Upper Approximations

In this article we use the rough set theory to generate the set of decision concepts in order to solve a medical problem.Based on officially published data by International Diabetes Federation (IDF), rough sets have been used to diagnose Diabetes.The lower and upper approximations of decision concepts and their boundary regions have been formulated here.

Comparação entre Redes Neurais Artificiais e Rough Sets para Classificação de Dados

2016 ◽  
Author(s):  
Renato C. Vieira ◽  
Marcelo B. Tenório ◽  
Mauro Roisenberg ◽  
Paulo S. S. Borges
Keyword(s):  
Rough Sets
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