A Sensitivity Analysis on Weight Sum Method MCDM Approach for Product Recommendation

  • Gaurav Kumar
  • N. ParimalaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11319)


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.


MCDM Weighted Sum Method Sensitivity analysis 



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.


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Computer and Systems SciencesJNUNew DelhiIndia

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