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Journal of Automation and Information Sciences

Publication de 12  numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

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

Volume 39, Numéro 4, 2007, pp. 22-36
DOI: 10.1615/JAutomatInfScien.v39.i4.30
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RÉSUMÉ

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.

CITÉ PAR
  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

  4. Pankratova Nataliya D., Nedashkovskaya Nadezhda I., Evaluation of Ecology Projects for Black Sea Odessa Region on Basis of a Network BOCR Criteria Model, 2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC), 2018. Crossref

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