Title
Set-valued ordered information systems
Abstract
Set-valued ordered information systems can be classified into two categories: disjunctive and conjunctive systems. Through introducing two new dominance relations to set-valued information systems, we first introduce the conjunctive/disjunctive set-valued ordered information systems, and develop an approach to queuing problems for objects in presence of multiple attributes and criteria. Then, we present a dominance-based rough set approach for these two types of set-valued ordered information systems, which is mainly based on substitution of the indiscernibility relation by a dominance relation. Through the lower/upper approximation of a decision, some certain/possible decision rules from a so-called set-valued ordered decision table can be extracted. Finally, we present attribute reduction (also called criteria reduction in ordered information systems) approaches to these two types of ordered information systems and ordered decision tables, which can be used to simplify a set-valued ordered information system and find decision rules directly from a set-valued ordered decision table. These criteria reduction approaches can eliminate those criteria that are not essential from the viewpoint of the ordering of objects or decision rules.
Year
DOI
Venue
2009
10.1016/j.ins.2009.04.007
Inf. Sci.
Keywords
Field
DocType
decision rule,decision table,dominance relation,criteria reduction approach,set-valued information system,information system,possible decision rule,criteria reduction,conjunctive system,present attribute reduction,rough set
Decision rule,Information system,Discrete mathematics,Decision table,Dominance relation,Rough set,Queueing theory,Dominance-based rough set approach,Mathematics,Special ordered set
Journal
Volume
Issue
ISSN
179
16
0020-0255
Citations 
PageRank 
References 
75
1.66
45
Authors
4
Name
Order
Citations
PageRank
Yuhua Qian13245106.27
Chuangyin Dang22552112.80
Jiye Liang33647139.18
Dawei Tang41566.95