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  • Search: person:"Sevastjanov, P."
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Year of publication
Subject
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Fuzzy modeling 1 Fuzzy numbers 1 Fuzzy sets 1 Fuzzy-Set-Theorie 1 Interval comparison 1 Investitionsrechnung 1 Investment appraisal techniques 1 Logistic systems 1 Manufacturing systems 1 Multi-criteria analysis 1 Multikriterielle Entscheidungsanalyse 1 Theorie 1 Theory 1
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Undetermined 2
Type of publication
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Article 4
Type of publication (narrower categories)
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Aufsatz im Buch 1 Book section 1
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Undetermined 3 English 1
Author
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Sevastjanov, P. 3 Figat, P. 2 Dymova, L. 1 Róg, P. 1 Sevastjanov, P.V. 1
Published in...
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Fuzzy engineering economics with applications 1 Mathematics and Computers in Simulation (MATCOM) 1 Omega 1 Omega : the international journal of management science 1
Source
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RePEc 2 ECONIS (ZBW) 1 OLC EcoSci 1
Showing 1 - 4 of 4
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Fuzzy multiobjective evaluation of investments with applications
Dymova, L.; Sevastjanov, P. - In: Fuzzy engineering economics with applications, (pp. 243-287). 2008
Persistent link: https://www.econbiz.de/10003755089
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Aggregation of aggregating modes in MCDM: Synthesis of Type 2 and Level 2 fuzzy sets
Sevastjanov, P.; Figat, P. - In: Omega 35 (2007) 5, pp. 505-523
A new approach to MCDM in a fuzzy setting based on the aggregation of aggregating modes is proposed. The problem of appropriate common scale for representation of objective and subjective criteria is solved using the simple subsethood measure based on [alpha]-cut representation of fuzzy values....
Persistent link: https://www.econbiz.de/10005333931
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Aggregation of aggregating modes in MCDM: Synthesis of Type 2 and Level 2 fuzzy sets
Sevastjanov, P.; Figat, P. - In: Omega : the international journal of management science 35 (2007) 5, pp. 505-523
Persistent link: https://www.econbiz.de/10007392137
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Fuzzy modeling of manufacturing and logistic systems
Sevastjanov, P.V.; Róg, P. - In: Mathematics and Computers in Simulation (MATCOM) 63 (2003) 6, pp. 569-585
The basic paradigm of simulation is the probabilistic approach to describing real world uncertainty. However, in many cases we do not have an information that would be precise enough to build the corresponding probabilistic model or there are some human factors that prevent doing so. In such...
Persistent link: https://www.econbiz.de/10011050424
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