Yemets` Oleg O. Fuzzy optimization by a branch and bound method / Oleg O. Yemets’, Oleksandra O. Yemets’ //19th Zittau East-West Fuzzy Colloquium: Conference Proceedings, September 5-7, 2012, Zittau, Germany. – Hochschule Zittau/Görlitz: Univ. of Appl. Sciences – P. 117–124
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, manufact...
Abstract. Fuzzy Linear Programming models and methods has been one of the most and well studied topi...
[[abstract]]The embedding theorem shows that the set of fuzzy numbers can be embedded into a Banach ...
The algorithm of branch and bound method for the minimization problem in the fuzzy setting is propo...
Abstract. A brief summary on and comprehensive understanding of fuzzy optimization is presented. Thi...
The methods of solving optimization and making solution problems at fuzzy data on base of the possib...
This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization meta...
A new approach to fuzzy optimization is proposed. It is based on application of approximate reasonin...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
Some general concepts and ideas related to fuzzy optimization as, e.g., a fuzzy constraint, fuzzy go...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, system c...
This book studies optimized models with fuzzy quantities. It can be used by undergraduates in higher...
© 2006 by World Scientific Publishing Co. Pte. Ltd. This paper presents an extended Branch-and-Bound...
Given a. fuzzy logic system, how can we determine the membership functions that will result in the b...
AbstractA general approach to solving a wide class of optimization problems with fuzzy coefficients ...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, manufact...
Abstract. Fuzzy Linear Programming models and methods has been one of the most and well studied topi...
[[abstract]]The embedding theorem shows that the set of fuzzy numbers can be embedded into a Banach ...
The algorithm of branch and bound method for the minimization problem in the fuzzy setting is propo...
Abstract. A brief summary on and comprehensive understanding of fuzzy optimization is presented. Thi...
The methods of solving optimization and making solution problems at fuzzy data on base of the possib...
This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization meta...
A new approach to fuzzy optimization is proposed. It is based on application of approximate reasonin...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
Some general concepts and ideas related to fuzzy optimization as, e.g., a fuzzy constraint, fuzzy go...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, system c...
This book studies optimized models with fuzzy quantities. It can be used by undergraduates in higher...
© 2006 by World Scientific Publishing Co. Pte. Ltd. This paper presents an extended Branch-and-Bound...
Given a. fuzzy logic system, how can we determine the membership functions that will result in the b...
AbstractA general approach to solving a wide class of optimization problems with fuzzy coefficients ...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, manufact...
Abstract. Fuzzy Linear Programming models and methods has been one of the most and well studied topi...
[[abstract]]The embedding theorem shows that the set of fuzzy numbers can be embedded into a Banach ...