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Rating and ranking of multiple-aspect alternatives using fuzzy sets

โœ Scribed by Sjoerd M. Baas; Huibert Kwakernaak


Publisher
Elsevier Science
Year
1977
Tongue
English
Weight
952 KB
Volume
13
Category
Article
ISSN
0005-1098

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โœฆ Synopsis


Fuzzy sets theory may be used to solve multiple-attribute decision problems under uncertainty.

Key Word index--Decision theory; fuzzy sets; rating; multiple-attribute decision problems; multiple-objective decision problems.

Snmmm'y--A method is proposed to deal with multiplealternative decision problems under uncertainty. It is assumed that all the alternatives in the choice set can be characterized by a number of aspects, and that information is available to assign weights to these aspects and to construct a rating scheme for the various aspects of each alternative. The method basically consists of computing weighted final ratings for each alternative and comparing the weighted final ratings. The uncertainty that is assumed to be inherent in the assessments of the ratings and weights is accounted for by considering each of these variables as fuzzy quantities, characterized by appropriate membership functions. Accordingly, the final evaluation of the alternatives consists of a degree of membership in the fuzzy set of alternatives ranking first. A practical method is given to compute membership functions of fuzzy sets induced by mappings, and applied to the problem at hand. A number of examples are worked out. The method is compared to another one proposed by Kahne who approaches the prc-blem probabilistically.


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