Fuzzy-Interval Choice of Alternatives in Collective Expert Evaluation

. The authors consider the problem of determining the values of collective expert evaluation of alternative decisions on the basis of models whose structure is described by fragments of the Kolmogorov–Gabor polynomial. The approach is proposed that allows us to formalize the uncertainly of the defin...

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Bibliographic Details
Published inCybernetics and systems analysis Vol. 52; no. 2; pp. 269 - 276
Main Authors Ovezgeldyev, A. O., Petrov, K. E.
Format Journal Article
LanguageEnglish
Published New York Springer US 01.03.2016
Springer
Springer Nature B.V
Subjects
Artificial Intelligence
Control
Cybernetics
Estimates
Fuzzy
Fuzzy logic
Fuzzy sets
Interval arithmetic
Intervals
Mathematical analysis
Mathematical models
Mathematics
Mathematics and Statistics
Parameter uncertainty
Polynomials
Processor Architectures
Software Engineering/Programming and Operating Systems
Studies
Systems analysis
Systems Theory
Utility functions
ranking of fuzzy intervals
collective expert estimate
utility function
Kolmogorov–Gabor polynomial
multifactor estimate of an alternative
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Summary:. The authors consider the problem of determining the values of collective expert evaluation of alternative decisions on the basis of models whose structure is described by fragments of the Kolmogorov–Gabor polynomial. The approach is proposed that allows us to formalize the uncertainly of the definition of model parameters of multifactor evaluation based on fuzzy intervals; to define collective fuzzy estimates of alternatives and use them to range the alternatives in accordance with the decomposition of fuzzy intervals at the α-levels.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-016-9823-4