Method of convolution in multicriteria problems with uncertainty

DOI10.1134/S1064230717050082zbMath1390.90504OpenAlexW2761639564MaRDI QIDQ1745877

A. I. Zenyukov, Irina I. Pospelova, Natalia M. Novikova

Publication date: 18 April 2018

Published in: Journal of Computer and Systems Sciences International (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064230717050082

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Control/observation systems with incomplete information (93C41)

Related Items (6)

Applying the linear scalarization in multicriteria maximin problems ⋮ Scalarization method in multicriteria games ⋮ Concept of controlling the characteristics of nanotubes by processing a catalyst precursor for their synthesis ⋮ Multicriteria competitive games as models in operations research ⋮ Equilibria and compromises in two-person zero-sum multicriteria games ⋮ Mixed strategies in vector optimization and Germeier's convolution

Cites Work

• An analog of the minimax theorem for vector payoffs
• The structure of the set of equilibria for two person multicriteria games.
• The convolution method in the problem of the search for a vector maximin
• Multicriteria decision making under uncertainty
• Approximate reduction of the problem of determining a maximin to the problem of determining a maximum by means of penalty functions
• Classification of vector optimization problems with uncertain factors
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