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Ranking alternatives using fuzzy numbers. (English) Zbl 0567.90057
The proposed method may be shortly described as follows: n experts evaluate m alternatives with respect to K criteria. All the evaluations consist of fuzzy numbers $$a^ k_{ij}$$ (a number assigned to the i-th alternative by the j-th expert for the k-th criterion) and $$b_{kj}$$ (the importance of the k-th criterion for the j-th expert), $$i=1,...,m$$, $$j=1,...,n$$, $$k=1,...,K$$. These fuzzy numbers are then used to calculate the average evaluations $$w_ i$$ (being also fuzzy numbers), $$i=1,...,m$$. To this purpose the extended operations on fuzzy numbers are used. To determine the final ranking of the alternatives a certain method of ranking fuzzy numbers is utilized.
Reviewer: S.Chanas

##### MSC:
 90B50 Management decision making, including multiple objectives 03E72 Theory of fuzzy sets, etc. 91B08 Individual preferences
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##### References:
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