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Preference-modeling-with-TOPSIS-using-N-ary-norm-operators

version 1.0 (6.15 KB) by Pasi Luukka
TOPSIS that is using N-ary norm operators to form ideal solutions.

8 Downloads

Updated 16 Apr 2021

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In this release one can find matlab codes for n-ary TOPSIS that uses n-ary norm operators to set preference for either positive ideal solution or negative ideal solution depending on the practical problem. Basic TOPSIS has been critized about not being able to set preference for either positive ideal solution or negative ideal solution and it is considering them to be equally important. With n-ary norm operator we can prefer one over another depending on the practical problem. Preference can be modelled by imposing stricter or weaker norm operator depending on practical problem. Another generalization in the code is that instead of using Euclidean distance code is generalized to Minkowski distance. Paper was published in

P. Luukka, N—ary norm operators and TOPSIS, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1-6, doi: 10.1109/FUZZ48607.2020.9177580.

Cite As

Pasi Luukka (2022). Preference-modeling-with-TOPSIS-using-N-ary-norm-operators (https://github.com/luukka76/Preference-modeling-with-TOPSIS-using-N-ary-norm-operators/releases/tag/v1.0), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.