Add to ORKGA fuzzy Datalog program is a set of Horn-formulae with uncertainty degrees. The meaning of a program is the fixpoints of deterministic or nondeterministic consecutive transformations. In this paper we are going to deal with the evaluation strategies of fuzzy Datalog programs. We will determine the bottom-up and top-down strategies and show their equivalence
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
AbstractThe past few years have witnessed a rapid growth in the number and variety of applications o...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
In this paper we define the fuzzy Datalog programs as sets of Hornformula« with degrees and give the...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
The basic aim of our study is to give a possible model for handling uncertain information. This mode...
In this paper we give a possible model for handling uncertain information. The concept of fuzzy know...
Abstract. The basic aim of our study is to give a possible model for han-dling uncertain information...
In this work some possible models for handling uncertain information are presented. These models are...
The basic question of our study is to present a possible model for handling uncertain information. T...
Modern applications combine information from a great variety of sources. Oftentimes, some of these s...
We propose to replace Zadeh's DeMorgan-type negation in fuzzy logic by a Heyting-type negation which...
Modern applications combine information from a great variety of sources. Oftentimes, some of these s...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
During the last decade, several hard problems have been described and solved in Datalog in a sound w...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
AbstractThe past few years have witnessed a rapid growth in the number and variety of applications o...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
In this paper we define the fuzzy Datalog programs as sets of Hornformula« with degrees and give the...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
The basic aim of our study is to give a possible model for handling uncertain information. This mode...
In this paper we give a possible model for handling uncertain information. The concept of fuzzy know...
Abstract. The basic aim of our study is to give a possible model for han-dling uncertain information...
In this work some possible models for handling uncertain information are presented. These models are...
The basic question of our study is to present a possible model for handling uncertain information. T...
Modern applications combine information from a great variety of sources. Oftentimes, some of these s...
We propose to replace Zadeh's DeMorgan-type negation in fuzzy logic by a Heyting-type negation which...
Modern applications combine information from a great variety of sources. Oftentimes, some of these s...
AbstractThe use of fuzzy decision tables as a programming language for representing both the knowled...
During the last decade, several hard problems have been described and solved in Datalog in a sound w...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...
AbstractThe past few years have witnessed a rapid growth in the number and variety of applications o...
Datalog is a powerful language that can be used to represent explicit knowledge and compute inferenc...