Presents an experimental toolkit for modeling and solving fuzzy constraint satisfaction problems (FCSPs) called JFSolver. JFSolver is a Java based library developed as an extension of a crisp constraint programming library to provide an enhanced functionality for handling fuzzy constraints including fuzzy constraint specification, propagation and search mechanisms. JFSolver comprises an application programming interface for fuzzy constraint programming and a graphical editor for interactive problem definition and solving. This functionality is demonstrated with an illustrative example
This chapter demonstrates development of a novel compromise linear programming having fuzzy resource...
Real world problems are often overconstrained, ill-defined, or tolerate good though suboptimal solut...
Knowledge sharing among partners from a distributed engineering team is becoming more critical for d...
The fuzzy constraint satisfaction framework is a successful extension to the classical constraint sa...
In this paper the issue of soft constraint satisfaction is discussed from a fuzzy set theoretical po...
Abstract. In Fuzzy Constraints Satisfaction Problem (FCSP), fuzzy constraints are aggregated by min ...
Constraints are useful to model many real-life problems. Soft constraints are even more useful, sinc...
An attempt to solve fuzzy constraint satisfaction problems (FCSPs) with the use of genetic algorithm...
AbstractConstraint satisfaction is a fundamental Artificial Intelligence technique for knowledge rep...
A fuzzy constraint satisfaction problem (FCSP) is an extension of the classical CSP, a powerful tool...
Constraint satisfaction is a fundamental artificial intelligence technique offering a simple yet pow...
We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with v...
Fuzzy Constraint Satisfaction Problem (FCSP) offers flexible modelling and solving of many real worl...
Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable for engineering ap...
Real world problems are often overconstrained, ill-defined, or tolerate good though suboptimal solut...
This chapter demonstrates development of a novel compromise linear programming having fuzzy resource...
Real world problems are often overconstrained, ill-defined, or tolerate good though suboptimal solut...
Knowledge sharing among partners from a distributed engineering team is becoming more critical for d...
The fuzzy constraint satisfaction framework is a successful extension to the classical constraint sa...
In this paper the issue of soft constraint satisfaction is discussed from a fuzzy set theoretical po...
Abstract. In Fuzzy Constraints Satisfaction Problem (FCSP), fuzzy constraints are aggregated by min ...
Constraints are useful to model many real-life problems. Soft constraints are even more useful, sinc...
An attempt to solve fuzzy constraint satisfaction problems (FCSPs) with the use of genetic algorithm...
AbstractConstraint satisfaction is a fundamental Artificial Intelligence technique for knowledge rep...
A fuzzy constraint satisfaction problem (FCSP) is an extension of the classical CSP, a powerful tool...
Constraint satisfaction is a fundamental artificial intelligence technique offering a simple yet pow...
We present a new model and a new approach for solving fuzzy linear programming (FLP) problems with v...
Fuzzy Constraint Satisfaction Problem (FCSP) offers flexible modelling and solving of many real worl...
Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable for engineering ap...
Real world problems are often overconstrained, ill-defined, or tolerate good though suboptimal solut...
This chapter demonstrates development of a novel compromise linear programming having fuzzy resource...
Real world problems are often overconstrained, ill-defined, or tolerate good though suboptimal solut...
Knowledge sharing among partners from a distributed engineering team is becoming more critical for d...