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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v39.i6.20
pages 30-44

Method for Processing Fuzzy Expert Information in Prediction Problems. Part II

Nadezhda I. Nedashkovskaya
Institute of Applied Systems Analysis of National Technical University of Ukraine "Kiev Polytechnical Institute" of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Ukraine

ABSTRAKT

We proposed technique of processing fuzzy expert information, which includes estimate of coordination of this information and determination of fuzzy weights of objects. Technique is based on interval approximation of fuzzy matrixes of expert estimates. We consider method for search of interval weights from coordinated and uncoordinated interval matrixes of paired comparisons, which in the general case is reduced to solving a problem of nonlinear programming and models weak (prevalence by elements) and strong (prevalence by rows) conservation of ranks.


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Method for Processing Fuzzy Expert Information in Prediction Problems.
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