The traditional fuzzy logic does not distinguish between the cases when we know nothing about a statement S and the cases when we have equally convincing arguments for S and for its negation ~S: in both cases, we assign the degree 0.5 to such a statement S. This distinction is provided by intuitionistic fuzzy logic, when to describe our degree of confidence in a statement S, we use two numbers a+ and a− that characterize our degree of confidence in S and in ~S. An even more detailed distinction is provided by picture fuzzy logic, in which we differentiate between cases when we are still trying to understand the truth value and cases when we are no longer interested. The question is how to extend and - and or -operations to these more gene...
Picture fuzzy set (PFS) is a recently developed tool to deal with uncertainty which is a direct exte...
The incorporation of imprecise, linguistic information into logical deduction processes, as opposed ...
The book offers a comprehensive survey of intuitionistic fuzzy logics. By reporting on both the auth...
In the traditional fuzzy logic, the expert\u27s degree of confidence d(A & B) in a complex statement...
In the traditional fuzzy logic, we can use and -operations (also known as t-norms) to estimate the ...
How is fuzzy logic usually formalized? There are many seemingly reasonable requirements that a logic...
In the traditional (static) fuzzy logic approach, we select an and -operation (t-norm) and an or -...
In expert systems, we often face a problem of estimating the expert\u27s degree of confidence in a c...
How is fuzzy logic usually formalized? There are many seemingly reasonable require-ments that a logi...
It has been shown that from the purely mathematical viewpoint, the (traditional) intuitionistic fuzz...
Many different and - and or -operations have been proposed for use in fuzzy logic; it is therefore...
A generic fuzzy relation often requires too many parameters to represent -- especially when we have ...
How is fuzzy logic usually formalized? There are many seemingly reasonable requirements that a logic...
In the non-fuzzy (e.g., interval) case, if two expert\u27s opinions are consistent, then, as the res...
summary:We have modified the axiomatic system of orness measures, originally introduced by Kishor in...
Picture fuzzy set (PFS) is a recently developed tool to deal with uncertainty which is a direct exte...
The incorporation of imprecise, linguistic information into logical deduction processes, as opposed ...
The book offers a comprehensive survey of intuitionistic fuzzy logics. By reporting on both the auth...
In the traditional fuzzy logic, the expert\u27s degree of confidence d(A & B) in a complex statement...
In the traditional fuzzy logic, we can use and -operations (also known as t-norms) to estimate the ...
How is fuzzy logic usually formalized? There are many seemingly reasonable requirements that a logic...
In the traditional (static) fuzzy logic approach, we select an and -operation (t-norm) and an or -...
In expert systems, we often face a problem of estimating the expert\u27s degree of confidence in a c...
How is fuzzy logic usually formalized? There are many seemingly reasonable require-ments that a logi...
It has been shown that from the purely mathematical viewpoint, the (traditional) intuitionistic fuzz...
Many different and - and or -operations have been proposed for use in fuzzy logic; it is therefore...
A generic fuzzy relation often requires too many parameters to represent -- especially when we have ...
How is fuzzy logic usually formalized? There are many seemingly reasonable requirements that a logic...
In the non-fuzzy (e.g., interval) case, if two expert\u27s opinions are consistent, then, as the res...
summary:We have modified the axiomatic system of orness measures, originally introduced by Kishor in...
Picture fuzzy set (PFS) is a recently developed tool to deal with uncertainty which is a direct exte...
The incorporation of imprecise, linguistic information into logical deduction processes, as opposed ...
The book offers a comprehensive survey of intuitionistic fuzzy logics. By reporting on both the auth...