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自动化与信息科学期刊
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

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自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v39.i4.30
pages 22-36

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

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

ABSTRACT

We proposed method for processing fuzzy expert information, which includes estimation of coordination of this information and finding fuzzy weights of objects. Method is based on interval approximation of fuzzy matrix of paired comparisons. We consider method of finding interval weights from coordinated uncoordinated interval matrixes of paired comparison, which in the general case is reduced to solving problems of nonlinear programming and models weak (prevalence by elements) and strong (prevalence by rows) conservation of ranks.


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