Abstract
The weights assigned to features, in an MCDM approach, play a crucial role in the computation of the ranking of alternatives. These weights can be varied which can result in a varied ranking of alternatives. In this paper, we present a method for conducting a sensitivity analysis of the weight assigned to decision criteria. In our earlier work, we have applied the Weighted Sum Method (WSM) multi criteria decision making approach to rank cameras. Using the results, a sensitivity analysis is performed in this paper. The weights are varied across thirty-four experiments. The result says that the minimum percentage of change required in the weight is 8.52% to alter the final ranking of alternatives.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Pomerol, J.-C., Romero, S., Barba, R.: Multi-criterion Decision in Management: Principles and Practice, 1st edn. Kluwer Academic, Boston (2000)
Dantzig, G.B.: Linear Programming and Extensions. Princeton University Press, NJ (1963)
Rios Insua, D.: Sensitivity Analysis in Multi-objective Decision Making. Lecture Notes in Economics and Mathematical Systems. Springer, Germany (1990). https://doi.org/10.1007/978-3-642-51656-6
Barron, H., Schmidt, C.P.: Sensitivity analysis of additive multi-attribute value models. Oper. Res. 36(l), 122–127 (1988)
Samson, D.: Managerial Decision Analysis. Irwin, Illinois (1988)
Winston, L.W.: Operations Research, 2nd edn. PWS-KentPublishing Co., Boston (1991)
Triantaphyllou, E., Sánchez, A.: A sensitivity analysis approach for some deterministic multi-criteria decision-making methods. Decis. Sci. 28(1), 151–194 (1997)
Zavadskas, E.K., Turskis, Z., Dejus, T., Viteikiene, M.: Sensitivity analysis of a simple additive weight method. Int. J. Manag. Decis. Mak. 8(5–6), 555–574 (2007)
Hyde, K.M., Maier, H.R., Colby, C.B.: Reliability-based approach to multi-criteria decision analysis for water resources. J. Water Resour. Plan. Manag. 130(6), 429–438 (2004)
Gaurav, K., Parimala, N.: A weighted sum method MCDM approach for recommending product using sentiment analysis. Int. J. Bus. Inf. Syst. (2018, accepted)
Acknowledgment
One of the authors G. Kumar would like to thank Human Resource Development Group, Council of Scientific & Industrial Research (CSIR), Ministry of Science and Technology, Govt. of India for funding the fellowship (09/263(1001)/2013-EMR-1) throughout his research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Kumar, G., Parimala, N. (2019). A Sensitivity Analysis on Weight Sum Method MCDM Approach for Product Recommendation. In: Fahrnberger, G., Gopinathan, S., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2019. Lecture Notes in Computer Science(), vol 11319. Springer, Cham. https://doi.org/10.1007/978-3-030-05366-6_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-05366-6_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05365-9
Online ISBN: 978-3-030-05366-6
eBook Packages: Computer ScienceComputer Science (R0)