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Website selection for online shopping by multi-criteria decision analysis using symmetric hendecagonal fuzzy number

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  • M. Revathi
  • M. Valliathal

Abstract

Fuzzy decision-making offers comprehensive resources that can tackle with uncertainty in different categories of decision-making problems that can be developed for best website selection. The main intention of this research is to propose a website evaluation model using fuzzy multi-criteria group decision-making (FMCGDM) method. The opinions of the experts are recorded by linguistic terms that can be conveyed in a new generalised structure of the fuzzy number named symmetric hendecagonal fuzzy number (SymmHDFN). On this basis, the evaluation model is suggested and implemented for four major online shopping websites with alternatives, and the influential criteria that control online shopping are taken into account. Simple additive weighting (SAW) procedure is applied to evaluate the websites in this study. A ranking system based on the centroid procedure is extended to SymmHDFN and implemented on the websites being considered.

Suggested Citation

  • M. Revathi & M. Valliathal, 2023. "Website selection for online shopping by multi-criteria decision analysis using symmetric hendecagonal fuzzy number," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 24(3), pages 339-359.
    • Handle: RePEc:ids:ijmore:v:24:y:2023:i:3:p:339-359
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