Application of Fuzzy Vectors of Normalized Weights in Decision Making Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F09%3A00010096" target="_blank" >RIV/61989592:15310/09:00010096 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Application of Fuzzy Vectors of Normalized Weights in Decision Making Models
Original language description
In this paper, the notion of a fuzzy vector of normalized weights is introduced, and its application in decision making models based on the weighted average operation is studied. The fuzzy vector of normalized weights represents a generalization of normalized fuzzy weights that authors formerly applied for modeling uncertain weights of criteria and/or uncertain probabilities of states of the world. Illustrative examples show that fuzzy vectors of normalized weights extend the possibilities of utilizingthe vague expert information concerning weights of criteria. For three particular forms of the fuzzy vectors of normalized weights, fuzzy weighted averages of given values are calculated and the obtained results are compared. Finally, the fuzzy models ofmultiple criteria decision making and decision making under risk based on the fuzzy weighted average operation are described.
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009
ISBN
978-989-95079-6-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IFSA/EUSFLAT
Place of publication
Lisabon
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Type of event by nationality
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UT code for WoS article
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