Rankings from Fuzzy Pairwise Comparisons
2005
We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons should be used to obtain a better crisp ranking, instead of a fuzzified version of the ranking obtained from crisp pairwise comparisons. With our method, a crisp ranking is obtained by solving a linear programming problem, when the fuzzy pairwise comparisons are fuzzy triangular numbers. Our method simplifies the recent method by Mikhailov
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
7
References
0
Citations
NaN
KQI