scholarly journals Debris Flow Rule Based on Rough Set Theory Extraction from Disaster Caused by the Nagasaki Heavy Rain in July, 1982.

2002 ◽  
pp. 13-25
Author(s):  
Takeharu SATO ◽  
Yasunori KAWANO ◽  
Yoshinori ARAKI ◽  
Hirotaka NAKAYAMA ◽  
Takahisa MIZUYAMA ◽  
...  
Keyword(s):  
Debris Flow ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Heavy Rain ◽  
Flow Rule ◽  
Rule Based

Applied Rough Set Logics for Multi-Criteria Decision Analysis in Stock Index Volatility Projection

2011 ◽  
Vol 14 (04) ◽  
pp. 715-735
Author(s):  
Wen-Rong Jerry Ho
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Multiple Criteria Decision Making ◽  
Stock Index ◽  
Rule Based ◽  
Set Up ◽  
Decision Making Model

The main purpose of this paper is to advocate a rule-based forecasting technique for anticipating stock index volatility. This paper intends to set up a stock index indicators projection prototype by using a multiple criteria decision making model consisting of the cluster analysis (CA) technique and Rough Set Theory (RST) to select the important attributes and forecast TSEC Capitalization Weighted Stock Index. The projection prototype was then released to forecast the stock index in the first half of 2009 with an accuracy of 66.67%. The results point out that the decision rules were authenticated to employ in forecasting the stock index volatility appropriately.

scholarly journals IDENTIFYING KEY FACTORS FOR ADOPTING ARTIFICIAL INTELLIGENCE-ENABLED AUDITING TECHNIQUES BY JOINT UTILIZATION OF FUZZY-ROUGH SET THEORY AND MRDM TECHNIQUE

2020 ◽  
Vol 0 (0) ◽  
pp. 1-34
Author(s):  
Kuang-Hua Hu ◽  
Fu-Hsiang Chen ◽  
Ming-Fu Hsu ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Set Theory ◽  
Rough Set ◽  
Audit Quality ◽  
Rough Set Theory ◽  
Decision Makers ◽  
Fuzzy Rough Set ◽  
Rule Based ◽  
Cpa Firms

In today’s big-data era, enterprises are able to generate complex and non-structured information that could cause considerable challenges for CPA firms in data analysis and to issue improper audited reports within the required period. Artificial intelligence (AI)-enabled auditing technology not only facilitates accurate and comprehensive auditing for CPA firms, but is also a major breakthrough in auditing’s new environment. Applications of an AI-enabled auditing technique in external auditing can add to auditing efficiency, increase financial reporting accountability, ensure audit quality, and assist decision-makers in making reliable decisions. Strategies related to the adoption of an AI-enabled auditing technique by CPA firms cover the classical multiple criteria decision-making (MCDM) task (i.e., several perspectives/criteria must be considered). To address this critical task, the present study proposes a fusion multiple rule-based decision making (MRDM) model that integrates rule-based technique (i.e., the fuzzy rough set theory (FRST) with ant colony optimization (ACO)) into MCDM techniques that can assist decision makers in selecting the best methods necessary to achieve the aspired goals of audit success. We also consider potential implications for articulating suitable strategies that can improve the adoption of AI-enabled auditing techniques and that target continuous improvement and sustainable development.

scholarly journals Methodology for the Construction of a Rule-Based Knowledge Base Enabling the Selection of Appropriate Bronze Heat Treatment Parameters Using Rough Sets

2015 ◽  
Vol 60 (1) ◽  
pp. 309-312 ◽  
Author(s):  
Z. Górny ◽  
S. Kluska-Nawarecka ◽  
D. Wilk-Kołodziejczyk ◽  
K. Regulski
Keyword(s):  
Heat Treatment ◽  
Knowledge Base ◽  
Set Theory ◽  
Rough Set ◽  
Rough Sets ◽  
Rough Set Theory ◽  
Exploratory Research ◽  
Rule Based ◽  
The Creation ◽  
Selection Of

Abstract Decisions regarding appropriate methods for the heat treatment of bronzes affect the final properties obtained in these materials. This study gives an example of the construction of a knowledge base with application of the rough set theory. Using relevant inference mechanisms, knowledge stored in the rule-based database allows the selection of appropriate heat treatment parameters to achieve the required properties of bronze. The paper presents the methodology and the results of exploratory research. It also discloses the methodology used in the creation of a knowledge base.

Mining Rule-based Knowledge Bases Inspired by Rough Set Theory

2016 ◽  
Vol 148 (1-2) ◽  
pp. 35-50 ◽  
Author(s):  
Agnieszka Nowak-Brzezińska
Keyword(s):  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Knowledge Bases ◽  
Rule Based

Using ADABOOST and Rough Set Theory for Predicting Debris Flow Disaster

2014 ◽  
Vol 28 (4) ◽  
pp. 1143-1155 ◽  
Author(s):  
Ping-Feng Pai ◽  
Lan-Lin Li ◽  
Wei-Zhan Hung ◽  
Kuo-Ping Lin
Keyword(s):  
Debris Flow ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Debris Flow Disaster
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