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Published Dec 27, 2011
Eugene Kopytov Vasilijs Demidovs Natalia Petukhova

Abstract

This paper considers different choices for the optimal data model of train schedule presentation. The authors have suggested three possible models that differ in building principles, of presenting temporal data of the train schedule in Information Systems. Three popular multiple-criteria decision making methods were examined in order to choose the best model. The study presents the Analytic Hierarchy Process (AHP) as the most suitable one for comparative evaluation of different data presentation models of the train schedule. In the study, thirteen evaluating criteria are developed which are distributed in three groups: hardware, maintenance and performance. The research is carried out for four different classes of IS: web-based schedule systems, mobile schedule systems, ticket sales systems and rail traffic management systems. MS Excel 2007 was used to display the AHP method; however a visualization tool called conditional formatting has been used to present the most important criteria and the preferred alternatives.


http://dx.doi.org/10.13033/ijahp.v3i2.113

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Keywords

multi-criteria analysis, Analytic Hierarchy Process, pairwise comparison, data model, train schedule, results visualization

References
Date, C. J., Darwen, H., & Lorentzos, N.A. (2002). Temporal data and the relational
model: A detailed investigation into the application of interval and relation theory to
the problem of temporal database management. Morgan Kaufmann.
Figueira, J., Mousseau, V., & Roy, B. (2005). ELECTRE Methods. In J. Figueira, S.
Greco, M. Ehrgott (Eds.), Multiple criteria decision analysis: state of the art surveys,
(pp133-162). Springer’s International Series, New York: Springer Science &
Business Media, Inc.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and
applications. Berlin, Heidelberg, New-York: Springer Verlag.
Jensen, C. (2000). Temporal Database Management. Dr. techn. thesis, defended on
14.04.2000, Available at: www.cs.auc.dk/~csj/Thesis/
Kopytov, E., Demidovs, V., & Petukhova, N. (2008). Application of temporal
elements in the railway schedule systems. Transport and Telecommunication, 9 (2),
Riga, Latvia, 14–23.
Kopytov, E., Demidovs, V., & Petukhova, N. (2008). Modelling of railway schedule
in temporal databases. Proceedings of the International Conference Modelling of
Business, Industrial and Transport System (MBITS’08), Riga, Latvia, 107–116.
Kopytov, E., Petukhova, N., & Demidovs, V. (2010). Methods for railway schedule
periodicity support in temporal databases. Proceedings of the 9th Joint Conference on
Knowledge-based Software Engineering (JCKBSE’10), Kaunas, Lithuania,
Technologija, 178–191.
Lootsma, F.A., & Schuijt, H. (1997). The multiplicative AHP, SMART and
ELECTRE in a common context. Journal of Multi-Criteria Decision Analysis, 6 (4),
185-196.
Olson, D.L., Fliendner, G., & Currie, K. (1995). Comparison of the REMBRANDT
system with analytic hierarchy process. European Journal of Operations Research,
82 (3), 522–539.
Roy, ?. (1996). Multi-criteria methodology for decision aiding. Dordrecht : Kluwer
Academic Publishing.
Saaty, T.L. (1980). The Analytic Hierarchy Process: planning, priority setting,
resource allocation. New York: McGraw-Hill.
Saaty, T.L. (2001). Decision making for leaders: The Analytic Hierarchy Process for
decisions in a complex world. Pittsburgh, PA: RWS Publications.
Tansel, A.U., Clifford, J., & Gadia, S. (1993). Temporal databases: theory, design,
and implementation. Redwood City, CA: The Benjamin/Cummings Publishing
Company.
Terenziani, P. (2003). Symbolic user-defined periodicity in temporal relational
databases. IEEE Transactions on Knowledge and Data Engineering, 15 (2), 489-509.
Triantaphyllou, E. (2000). Multi-criteria decision making methods: A comparative
study. London: Kluwer Academic Publishers.
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