A Novel Dynamic Skyline Operation for Multicriteria Decision Support

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...

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Bibliographic Details
Published in2013 46th Hawaii International Conference on System Sciences pp. 1183 - 1192
Main Authors Junyi Chai, Liu, J. N. K., Man Lung Yiu, Hongwei Wang, Anming Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2013
Subjects
Computational modeling
Educational institutions
Games
Heuristic algorithms
Maintenance engineering
Optimization
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Summary: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.
ISBN:9781467359337
1467359335
ISSN:1530-1605
2572-6862
DOI:10.1109/HICSS.2013.49