Commit 839274b
authored
Create README.md
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 this 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.
Codes that can be found are:
Mainfile.m script that shows an example how to use the method
narytopsis.m function call for N-ary TOPSIS
normalization.m function that normalizes the data into unit interval
distM.m function that calculates Minkowski distance
recursivetnorm.m and recursivetconorm.m recursive implementation for intersection and union operators
i_yager.m, u_yager.m implementations for Yager's intersection and union operators.1 parent 6b93601 commit 839274b
1 file changed
+16
-0
lines changed| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
| |||
| 1 | + | |
| 2 | + | |
| 3 | + | |
| 4 | + | |
| 5 | + | |
| 6 | + | |
| 7 | + | |
| 8 | + | |
| 9 | + | |
| 10 | + | |
| 11 | + | |
| 12 | + | |
| 13 | + | |
| 14 | + | |
| 15 | + | |
| 16 | + | |
0 commit comments