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Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

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

Volume 39, Issue 6, 2007, pp. 30-44
DOI: 10.1615/JAutomatInfScien.v39.i6.20
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ABSTRACT

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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  1. Pankratova N. D., Nedashkovskaya N. I., Evaluating multifactor risks under conceptual uncertainty, Cybernetics and Systems Analysis, 45, 2, 2009. Crossref

  2. Pankratova N. D., Nedashkovskaya N. I., Hybrid Method of Multicriteria Evaluation of Decision Alternatives, Cybernetics and Systems Analysis, 50, 5, 2014. Crossref

  3. Pankratova N., Nedashkovskaya N., Estimation of Sensitivity of the DS/AHP Method While Solving Foresight Problems with Incomplete Data, Intelligent Control and Automation, 04, 01, 2013. Crossref

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