Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8139
Title: A novel dynamic skyline operation for multicriteria decision support
Authors: Chai, J
Liu, JNK
Yiu, ML 
Wang, H
Li, A
Keywords: Decision making
Decision support systems
Decision tables
Sport
Issue Date: 2013
Publisher: IEEE
Source: 2013 46th Hawaii International Conference on System Sciences (HICSS), 7-10 January 2013, Wailea, Maui, HI, p. 1183-1192 How to cite?
Abstract: The skyline operation is a typical Multicriteria Decision Making (MCDM) that has been well studied in database context. The basic assumption of convention-al skyline operator is preference-ordered values within multi-dimensional decision tables. This assumption utilizes preference-ordered values to simplify the complex human preference, which is subject to big challenges in real applications. In this paper, we firstly investigate preference relations on skyline operation and lead to a dynamic preference model. We then introduce the concept of preference intensity and propose a new decision model, called Tolerant Skyline Operation (T-skyline). We study the method for computation of T-skyline and address the issue of continuous T-skyline maintenance. Through a detailed case study related to the NBA player evaluation in 2010-11 regular seasons, we demonstrate the effectiveness and advantages of the proposed decision model.
URI: http://hdl.handle.net/10397/8139
ISBN: 978-1-4673-5933-7
978-0-7695-4892-0 (E-ISBN)
ISSN: 1530-1605
DOI: 10.1109/HICSS.2013.49
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
0
Citations as of Aug 14, 2017

Page view(s)

26
Last Week
1
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.