caa a22 4500 445878142 CHVBK 20180317145533.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11081-010-9108-0 doi (NATIONALLICENCE)springer-10.1007/s11081-010-9108-0 Multicriteria analysis based on constructing payoff matrices and applying methods of decision making infuzzy environment [Elektronische Daten] [Petr Ekel, Illya Kokshenev, Reinaldo Palhares, Roberta Parreiras, Fernando SchuffnerNeto] There exist two classes of problems, which need the use of a multicriteria approach: problems whose solution consequences cannot be estimated with a single criterion and problems that, initially, may require a single criterion or several criteria, but their unique solutions are unachievable, due to decision uncertainty regions, which can be contracted using additional criteria. According to this, two classes of models (〈X,M〉 and 〈X,R〉 models) can be constructed. Analysis of 〈X,M〉 and 〈X,R〉 models (based on applying the Bellman-Zadeh approach to decision making in a fuzzy environment and using fuzzy preference modeling techniques, respectively) serves as parts of a general scheme for multicriteria decision making under information uncertainty. This scheme is also associated with a generalization of the classic approach to considering the uncertainty of information (based on analyzing payoff matrices constructed for different combinations of solution alternatives and states of nature) in monocriteria decision making to multicriteria problems. The paper results are of a universal character and are illustrated by an example. Springer Science+Business Media, LLC, 2010 Multicriteria decision making nationallicence Information uncertainty nationallicence Bellman-Zadeh approach nationallicence Fuzzy preference modeling nationallicence Payoff matrices nationallicence Particular and aggregated risks nationallicence Ekel Petr Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, MG, Brasil aut Kokshenev Illya Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil aut Palhares Reinaldo Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil aut Parreiras Roberta Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, MG, Brasil aut SchuffnerNeto Fernando Distribution and Commercialization Board, Minas Gerais State Energy Company, Belo Horizonte, MG, Brazil aut Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 5-29 1389-4420 12:1-2<5 2011 12 11081 https://doi.org/10.1007/s11081-010-9108-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11081-010-9108-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ekel Petr Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, MG, Brasil aut NATIONALLICENCE 700 1- Kokshenev Illya Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil aut NATIONALLICENCE 700 1- Palhares Reinaldo Department of Electronics Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil aut NATIONALLICENCE 700 1- Parreiras Roberta Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, MG, Brasil aut NATIONALLICENCE 700 1- SchuffnerNeto Fernando Distribution and Commercialization Board, Minas Gerais State Energy Company, Belo Horizonte, MG, Brazil aut NATIONALLICENCE 773 0- Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 5-29 1389-4420 12:1-2<5 2011 12 11081 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer