Decision rules acquisition based on interval knowledge granules for incomplete ordered decision information systems

2015 ◽  
Vol 6 (6) ◽  
pp. 1019-1028 ◽  
Author(s):  
Jilin Huang ◽  
Yanyong Guan ◽  
Xuezhi Du ◽  
Hongkai Wang
Keyword(s):  
Information Systems ◽  
Decision Rules ◽  
Rules Acquisition

Rule Acquisition Based on Inconsistent Decision-Making Information System

2013 ◽  
Vol 411-414 ◽  
pp. 1975-1978
Author(s):  
De Xing Wang ◽  
Hong Yan Lu ◽  
Hong Wei Lu
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Knowledge Reduction ◽  
Inconsistent Information ◽  
Rule Acquisition ◽  
Theory Application ◽  
Rules Acquisition

Rule acquisition is a hot topic in the field of data mining. And the inconsistent information systems are widespread nowadays. However, rules acquisition methods are always the difficulty of rough set theory application in inconsistent decision information systems; So the paper proposes a new rule acquisition method. Firstly, we use maximum distribution reduction method for knowledge reduction in single decision-making inconsistent information system and then we use decision-making resolution matrix and decision-making matrix function to get the decision rules. Finally, we mine the rules from inconsistent decision-making information systems.

Attribute reduction and optimal decision rules acquisition for continuous valued information systems

2009 ◽  
Vol 179 (17) ◽  
pp. 2974-2984 ◽  
Author(s):  
Yan-Yong Guan ◽  
Hong-Kai Wang ◽  
Yun Wang ◽  
Fang Yang
Keyword(s):  
Information Systems ◽  
Attribute Reduction ◽  
Decision Rules ◽  
Optimal Decision ◽  
Rules Acquisition

scholarly journals Decision Rules Acquisition for Inconsistent Disjunctive Set-Valued Ordered Decision Information Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Hongkai Wang ◽  
Yanyong Guan ◽  
Jilin Huang ◽  
Jianting Shen
Keyword(s):  
Information System ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Rules ◽  
Optimal Decision ◽  
Formal Framework ◽  
Rules Acquisition

Set-valued information system is an important formal framework for the development of decision support systems. We focus on the decision rules acquisition for the inconsistent disjunctive set-valued ordered decision information system in this paper. In order to derive optimal decision rules for an inconsistent disjunctive set-valued ordered decision information system, we define the concept of reduct of an object. By constructing the dominance discernibility function for an object, we compute reducts of the object via utilizing Boolean reasoning techniques, and then the corresponding optimal decision rules are induced. Finally, we discuss the certain reduct of the inconsistent disjunctive set-valued ordered decision information system, which can be used to simplify all certain decision rules as much as possible.

ON KNOWLEDGE REDUCTION IN INCONSISTENT DECISION INFORMATION SYSTEMS

2004 ◽  
Vol 12 (05) ◽  
pp. 651-672 ◽  
Author(s):  
DEYU LI ◽  
BO ZHANG ◽  
YEE LEUNG
Keyword(s):  
Information Systems ◽  
Decision Rules ◽  
Compact Representation ◽  
Knowledge Reduction ◽  
Types Of Knowledge ◽  
Prediction Capability

Due to issues such as noise in data, compact representation and prediction capability, many types of knowledge reduction and decision rules have been proposed and applied in inconsistent decision information systems. It is thus important to clarify the interrelationships among the existing types of knowledge reduction. In this paper, the relationships, particularly those suggested in [1], are reconsidered and rectified, and some related results are theoretically improved. In terms of two new types of reducts proposed in this paper together with other existing ones, the method for optimizing all types of decision rules is also discussed in details.

Adaptation of Decision Rules: Responding to Complexity of Information Systems Portfolio Planning

2018 ◽  
Vol 2018 (1) ◽  
pp. 15499
Author(s):  
Prasanna Karhade ◽  
Ramanath Subramanyam ◽  
Michael J. Shaw
Keyword(s):  
Information Systems ◽  
Decision Rules ◽  
Portfolio Planning
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