Abstract
The multiple criteria (MC) technique has proved useful in situations that require the selection of the best alternative from the number of feasible choices in the presence of multiple decision criteria and diverse criterion priorities. The authors have developed a new approach to select the most important factors that affecting the crisis/risk or – in some cases – even directly stimulating them. The proposed system will calculate automatically the weight of each criteria/indicator and hence compare all criteria according to this weight. If the criteria gets more weight than others do, so this will reflexes the importance of this criteria in stimulating or increasing the risk. The new approach in this paper is described and the proof-of-concept is implemented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Elmenreich, W.: Intelligent methods for embedded systems. In: Proceedings of the First Workshop on Intelligent Solutions for Embedded Systems, Vienna, p. 1 (2003)
Voogd, H.: Multicriteria Evaluation for Urban and Regional Planning. Pion, Londres (1983)
Janssen, R., Rietveld, P.: Multicriteria analysis and geographical information systems: an application to agricultural land use in the Netherlands. In: Scholten, H.J., Stillwell, C.H. (eds.) Geographical Information Systems for Urban and Regional Planning, pp. 129–139. Kluwer Academic Pub, Dordrecht (1990)
Guozhong, Z., Neng, Z., Zhe, T., Ying, C., Binhui, S.: Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Saf. Sci. 50(2), 228–239 (2012)
Doumpos, M., Zopounidis, C.: A multicriteria decision support system for bank rating. Decis. Support Syst. 50, 55–63 (2010)
Krasimira G., Vassil V., Filip A., Mariyana V., Silvia K.: A multicriteria analysis decision support system. In: International Conference on Computer Systems and Technologies – CompSysTech 2004 (2004)
Korol, T.: Multi-Criteria Early Warning System Against Enterprise Bankruptcy Risk, Int. Res. J. Finan. Econ., 61 (2011). Euro Journals Publishing, Inc
Xiang, W.: A GIS/MMP-based coordination model and its application to distributed environmental planning. Environ. Plann. B 20(2), 195–220 (1993)
Chuvieco, E.: Integration of linear programming and GIS for land-use modeling. Int. J. Geogr. Inf. Syst. 7(1), 71–83 (1993)
Evangelos, T., Stuart, H.: Using the analytic hierarchy process for decision making in engineering applications: some challenges. Int. J. Ind. Eng. Appl. Pract. 2(1), 35–44 (1995)
Mollaghasemi, M., Pet-Edwards, J.: Making Multiple-Objective Decisions, IEEE Computer Society Press, USA (1997)
Eldarndaly, K.: An intelligent MCDM approach for selecting the suitable expert system building tool. Int. Arab J. Inf. Technol. 4(4), 365–371 (2007)
Jankowski, P.: Integrating geographic information systems and multicriteria decision making methods. Int. J. Geogr. Inf. Syst. 9(3), 251–273 (1995)
Yoe, C.: Trade-Off Analysis Planning and Procedures Guidebook. Prepared for Institute for Water Resources, US Army Corps of Engineers, April 2002
Karahalios, H., Yang, Z.L., Williams, V., Wang, J.: A proposed system of hierarchical scorecards to assess the implementation of maritime regulations. Saf. Sci. 49(3), 450–462 (2011)
Sanjay, V., Ramachandran, M.: Multicriteria evaluation of demand side management (DSM) implementation strategies in the indian power sector. Energy 31(12), 2210–2225 (2006)
Bagranoff, N.A.: Using an analytic hierarchy approach to design internal control system. J. Acc. EDP 4(4), 37–41 (1989)
Arbel, A.Y., Orgler, E.: An application of the AHP to bank strategic planning: the mergers and acquisitions process. Eur. J. Oper. Res. 48(1), 27–37 (1990)
Moutinho, L.: The use of the analytic hierarchy process (AHP) in goal assessment: the case of professional services companies. J. Prof. Serv. Mark. 8(2), 97–114 (1993)
Arunraj, N.S., Maiti, J.: Risk-based maintenance policy selection using AHP and goal programming. Saf. Sci. 48, 238–247 (2010)
Milosevic, D.Z.: Project Management Toolbox. Tools and Techniques for the Practicing Project Manager. Wiley Publishing, NewYork (2003)
Cengiz, K., Ufuk, C., Ziya, U.: Multi-criteria vendor selection using fuzzy AHP. Logistics Inf. Manag. 16, 382–394 (2003)
Saaty, T.L., Peniwati, K.: Group Decision Making: Drawing out and Reconciling Differences. RWS Publications, Pittsburgh (2008). ISBN 978-1-888603-08-8
Keeney, R., Raiffa, H.: Decisions with Multiple Objectives. Preferences and Value Trade Offs. Wiley, New York (1976)
Saaty, T.S.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)
Saaty, T.L.: Highlights and critical points in the theory and application of the analytic hierarchy process. Eur. J. Oper. Res. 74, 426–447 (1994)
Takeda, E., Cogger, K.O., Yu, P.L.: Estimating criterion weights using eigenvectors: a comparative study. Eur. J. Oper. Res. 29, 360–369 (1988)
Von Winterfeldt, D., Edwards, W.: Decision Analysis and Behavioral Research. Cambridge University Press, London (1986)
Mareschal, B.: Weight stability intervals in multicriteria decision aid. Eur. J. Oper. Res. 33, 54–64 (1988)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Mohamed, M.S.E., Binsultan, A.A. (2017). Developing an Intelligent Decision Support System Approach for Crisis Preparedness. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 569. Springer, Cham. https://doi.org/10.1007/978-3-319-56535-4_68
Download citation
DOI: https://doi.org/10.1007/978-3-319-56535-4_68
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-56534-7
Online ISBN: 978-3-319-56535-4
eBook Packages: EngineeringEngineering (R0)