Fuzzy Set Based Models and Methods of Decision Making and Power Engineering Problems

Author(s)
Petr Ya. Ekel,
Illya V. Kokshenev,
Roberta O. Parreiras,
Gladstone B. Alves,
Paulo M. N. Souza

Affiliation(s)

Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil;Advanced System Optimization Technologies, Belo Horizonte, Brazil.

Advanced System Optimization Technologies, Belo Horizonte, Brazil;Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil.

Administration of Relationship Centers, CEMIG Distribution, Belo Horizonte, Brazil.

Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil;Advanced System Optimization Technologies, Belo Horizonte, Brazil.

Advanced System Optimization Technologies, Belo Horizonte, Brazil;Graduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil.

Administration of Relationship Centers, CEMIG Distribution, Belo Horizonte, Brazil.

Abstract

The results of research into the use of fuzzy set based models and methods of multicriteria decision making for solving power engineering problems are presented. Two general classes of models related to multiobjective (<*X，M>**X，R>**X，M>* of models is based on the use of the Bellman-Zadeh approach to decision making in a fuzzy environment. Its application conforms to the principle of guaranteed result and provides constructive lines in obtaining harmonious solutions on the basis of analyzing associated

Cite this paper

P. Ekel, I. Kokshenev, R. Parreiras, G. Alves and P. Souza, "Fuzzy Set Based Models and Methods of Decision Making and Power Engineering Problems,"*Engineering*, Vol. 5 No. 5, 2013, pp. 41-51. doi: 10.4236/eng.2013.55A007.

P. Ekel, I. Kokshenev, R. Parreiras, G. Alves and P. Souza, "Fuzzy Set Based Models and Methods of Decision Making and Power Engineering Problems,"

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