AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, system control, manufacturing and management, establishing general and operable fuzzy optimization methods are important in both theory and application. In this paper, starting from the structure of fuzzy information and the mechanism of fuzzy optimization, we propose the concept of quasi-linear fuzzy number, and discuss its approximation properties and the features on arithmetic operations. Further, by distinguishing principal indices and secondary indices, we establish the fuzzy optimization model based on synthesizing effect by combining the compound quantification strategy of fuzzy information, and give a fuzzy optimization method based on princi...
Applying the concept of fuzzy logic (an abstract version of Boolean logic) to well-known algorithms ...
summary:This paper shows how the simulated annealing (SA) algorithm provides a simple tool for solvi...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, system c...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, manufact...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, manufact...
Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together w...
This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization meta...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
In this paper, we concentrate on three kinds of fuzzy linear programming problems: linear programmin...
In this paper, we concentrate on three kinds of fuzzy linear programming problems: linear programmin...
Abstract. A brief summary on and comprehensive understanding of fuzzy optimization is presented. Thi...
Genetic algorithm is one of the random searches algorithm. Genetic algorithm is a method that uses g...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
Applying the concept of fuzzy logic (an abstract version of Boolean logic) to well-known algorithms ...
summary:This paper shows how the simulated annealing (SA) algorithm provides a simple tool for solvi...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, system c...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, manufact...
AbstractFuzzy optimization is a well-known optimization problem in artificial intelligence, manufact...
Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together w...
This book describes recent advances on fuzzy logic augmentation of nature-inspired optimization meta...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
In this paper, we concentrate on three kinds of fuzzy linear programming problems: linear programmin...
In this paper, we concentrate on three kinds of fuzzy linear programming problems: linear programmin...
Abstract. A brief summary on and comprehensive understanding of fuzzy optimization is presented. Thi...
Genetic algorithm is one of the random searches algorithm. Genetic algorithm is a method that uses g...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...
Applying the concept of fuzzy logic (an abstract version of Boolean logic) to well-known algorithms ...
summary:This paper shows how the simulated annealing (SA) algorithm provides a simple tool for solvi...
This work develops two approaches based on the fuzzy set theory to solve a class of fuzzy mathematic...