Fuzzy inference using the conjunctive approach is very popular in many practical applications. It is intuitive for engineers, simple to understand, and characterized by the lowest computational complexity. However, it leads to incorrect results in the cases when the relationship between a fact and a premise is undefined. This article analyses the problem thoroughly and provides several possible solutions. The drawbacks of uncertainty in the conjunctive approach are presented using fuzzy inference based on a fuzzy truth value, first introduced by Baldwin (1979c). The theory of inference is completed with a new truth function named 0-undefined for two-valued logic, which is further generalized into fuzzy logic as α-undefined. Eventually, the ...
AbstractIntelligent systems often need to deal with various kinds of uncertain information. It is th...
Since 1973, fuzzy logic has been rejected by a majority of linguists as a theory for dealing with va...
In this paper we deal with an approach to reasoning about numerical beliefs in a logical framework. ...
Fuzzy inference using the conjunctive approach is very popular in many practical applications. It is...
The management of uncertainty and imprecision is becoming more and more important in knowledge-base...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
AbstractThe use of fuzzy logic to model and manage uncertainty in a rule-based system places high co...
AbstractWhen transforming information into knowledge, various forms of imperfection can be introduce...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
A goal in approximate reasoning is the querying of fuzzy knowledge bases. This can be viewed as the ...
AbstractIn this paper we discuss both forward implication and backward implication, and the differen...
Abstract. This paper puts forward the idea that information encoded on a computer may have a negativ...
A limitation of standard Description Logics is its inability to reason with uncertain and vague know...
Probability theory is the arithmetic of the real line constrained by special aleatory axioms. Fuzzy ...
In this article, we present a first-order logic programming language for fuzzy reasoning under possi...
AbstractIntelligent systems often need to deal with various kinds of uncertain information. It is th...
Since 1973, fuzzy logic has been rejected by a majority of linguists as a theory for dealing with va...
In this paper we deal with an approach to reasoning about numerical beliefs in a logical framework. ...
Fuzzy inference using the conjunctive approach is very popular in many practical applications. It is...
The management of uncertainty and imprecision is becoming more and more important in knowledge-base...
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-b...
AbstractThe use of fuzzy logic to model and manage uncertainty in a rule-based system places high co...
AbstractWhen transforming information into knowledge, various forms of imperfection can be introduce...
Probability theory and fuzzy logic have been presented as quite distinct theoretical foundations for...
A goal in approximate reasoning is the querying of fuzzy knowledge bases. This can be viewed as the ...
AbstractIn this paper we discuss both forward implication and backward implication, and the differen...
Abstract. This paper puts forward the idea that information encoded on a computer may have a negativ...
A limitation of standard Description Logics is its inability to reason with uncertain and vague know...
Probability theory is the arithmetic of the real line constrained by special aleatory axioms. Fuzzy ...
In this article, we present a first-order logic programming language for fuzzy reasoning under possi...
AbstractIntelligent systems often need to deal with various kinds of uncertain information. It is th...
Since 1973, fuzzy logic has been rejected by a majority of linguists as a theory for dealing with va...
In this paper we deal with an approach to reasoning about numerical beliefs in a logical framework. ...