International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.8, No.5, May. 2016
Sensitivity Analysis Using Simple Additive Weighting Method
Full Text (PDF, 399KB), PP.27-33
The output of a multiple criteria decision method often has to be analyzed using some sensitivity analysis technique. The SAW MCDM method is commonly used in management sciences and there is a critical need for a robust approach to sensitivity analysis in the context that uncertain data is often present in decision models. Most of the sensitivity analysis techniques for the SAW method involve Monte Carlo simulation methods on the initial data. These methods are computationally intensive and often require complex software. In this paper, the SAW method is extended to include an objective function which makes it easy to analyze the influence of specific changes in certain criteria values thus making easy to perform sensitivity analysis.
Cite This Paper
Wayne S. Goodridge,"Sensitivity Analysis Using Simple Additive Weighting Method", International Journal of Intelligent Systems and Applications(IJISA), Vol.8, No.5, pp.27-33, 2016. DOI: 10.5815/ijisa.2016.05.04
Y.S., Huang, W.C Chang,., W.H., Li, and Z.L. Lin, “Aggregation of utility-based individual preferences for group decision-making”, European Journal of Operational Research, vol. 229, no. 2, pp. 462–469. 2013
C. L. Hwang and K. Yoon, “Multiple attribute decision making methods and application”, Springer, New York, NY, USA (1981).
R. Janssen, “Multiobjective decision support for environmental management”. Kulwer Academic Publishers, Netherlands (1996)
K. Koffka and W. Goodridge. "Fault Tolerant Multi-Criteria Multi-Path Routing in Wireless Sensor Networks." I.J. Intelligent Systems and Applications, 06, pp. 55-63, 2015
K. Koffka and W. Goodridge. "Energy Aware Ad Hoc On-Demand Multipath Distance Vector Routing." I.J. Intelligent Systems and Applications, 07, pp. 50-56, 2015
A. Afshari, M. Mojahed and R. M. Yusu, “Simple additive weighting approach to personnel selection problem, International Journal of Innovation”, Management and Technology, vol 1(5), pp. 511-515, 2010.
L. Abdullah and A. Otheman. "A New Entropy Weight for Sub-Criteria in Interval Type-2 Fuzzy TOPSIS and Its Application." I.J. Intelligent Systems and Applications, vol. 02, pp.25-33, 2013,
M. Behzadian, S. Otaghsara, M. Yazdani and J. Ignatius. “A state-of-the-art survey of TOPSIS applications”. Expert Systems with Applications, 39(17): pp.13051-13069, 2012.
D. Stanujkic, B. Djordjevic, and M. Djordjevic, “Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks”, Serbian Journal of Management, vol. 8, No. 2, pp. 213-241, 2013.
W. Deni, O. Sudana and A. Sasmitaf, “Analysis and implementation fuzzy multiattribute decision making saw method for selection of high achieving students in faculty level”, International Journal of Computer Science, vol. 10(1), pp. 674-680, 2013.
J. Barzilai and F. Lootsma, “Power relations and group aggregation in the multiplicative ahp and smart”, Journal of Multi-Criteria Decision Analysis vol. 6(3) , pp. 155-165,1997
J.-J. Wang, Y.-Y. Jing, C.-F. Zhang and J.-H. Zhao, Review on multi-criteria decision Analysis aid in sustainable energy decision-making, Renewable and Sustainable Energy,Reviews 13(9) (2009) 2263-2278.
S. Sitarz, “Multi-Criteria Analysis, Sensitivity Analysis, Multi-Objective Linear Programming, Decision Making”, I.J. Intelligent Systems and Applications, vol. 5, No. 3, pp. 50-57, 2013.
E. Triantaphyllou and A. Sanchez, A sensitivity analysis approach for some deterministic Multi-criteria decision-making methods*, Decision Sciences 28(1) (1997) 151-194.
B. Oztaysi, T. Kaya and C. Kahraman, “Performance comparison based on customer relationship management using analytic network process”, Expert Systems with Applications, vol. 38(8), pp. 9788-9798, 2011
W. Wolters and B. Mareschal, Novel types of sensitivity analysis for additive mcdm methods, European Journal of Operational Research 81(2) (1995) 281-290
B. Feizizadeh, P. Jankowski and T. Blaschke, “A gis based spatially-explicit sensitivity and uncertainty analysis approach for multi-criteria decision analysis”, Computers & Geosciences, vol. 64, pp. 81-95, 2014
R. Simanaviciene and L. Ustinovichius, Sensitivity analysis for multiple criteria decision making methods: TOPSIS and SAW, Procedia - Social and Behavioral Sciences 2(6) (2010) 7743-7744, Sixth International Conference on Sensitivity Analysis of Model Output.
J. Butler, J Jia and J. Dyer, “Simulation techniques for the sensitivity analysis of multicriteria decision models”, European Journal of Operational Research, 103 (3), pp. 531–546. doi: 10.1016/S0377-2217(96)00307-4, 1997
L Yu, K K, Lai “A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support”, Decision Support Systems, Vol.51, No.2,pp. 307-315,2011”
C.A. Bana e Costa. A methodology for sensitivity analysis in three-criteria problems: a case study in municipal management. European Journal of Operational Research, 33:159-173, 1988.
T. L. Saaty, “A scaling method for priorities in hierarchical structures”, Journal of Mathematical Psychology vol. 15, pp. 57-68, 1977.