summary:We have modified the axiomatic system of orness measures, originally introduced by Kishor in 2014, keeping altogether four axioms. By proposing a fuzzy orness measure based on the inner product of lattice operations, we compare our orness measure with Yager's one which is based on the inner product of arithmetic operations. We prove that fuzzy orness measure satisfies the newly proposed four axioms and propose a method to determine OWA operator with given fuzzy orness degree
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Aggregation functions are mathematical operators that merge given data in order to obtain a global v...
AbstractIn this paper, the fuzzy integral defined by Z.-X. Wang (Fuzzy Math. Wuhan, China, in press)...
summary:We have modified the axiomatic system of orness measures, originally introduced by Kishor in...
Ordered weighted average (OWA) operators are commonly used to aggregate information in multiple sit...
Ordered Weighted Averaging (OWA) operators are a profusely applied class of averaging aggregation fu...
The goal of this paper is to introduce two new concepts ∗-fuzzy premeasure and outer ∗-fuzzy measure...
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...
During the past 40 years of fuzzy research at the Fuzziness and Uncertainty Modeling research unit o...
In the traditional (static) fuzzy logic approach, we select an and -operation (t-norm) and an or -...
Abstract. In this paper we discuss on the relationship between fuzziness and its measuring on the on...
The traditional fuzzy logic does not distinguish between the cases when we know nothing about a stat...
In this paper we analyze the compensation property of a second order fuzzy measure in the context of...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Aggregation functions are mathematical operators that merge given data in order to obtain a global v...
AbstractIn this paper, the fuzzy integral defined by Z.-X. Wang (Fuzzy Math. Wuhan, China, in press)...
summary:We have modified the axiomatic system of orness measures, originally introduced by Kishor in...
Ordered weighted average (OWA) operators are commonly used to aggregate information in multiple sit...
Ordered Weighted Averaging (OWA) operators are a profusely applied class of averaging aggregation fu...
The goal of this paper is to introduce two new concepts ∗-fuzzy premeasure and outer ∗-fuzzy measure...
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...
During the past 40 years of fuzzy research at the Fuzziness and Uncertainty Modeling research unit o...
In the traditional (static) fuzzy logic approach, we select an and -operation (t-norm) and an or -...
Abstract. In this paper we discuss on the relationship between fuzziness and its measuring on the on...
The traditional fuzzy logic does not distinguish between the cases when we know nothing about a stat...
In this paper we analyze the compensation property of a second order fuzzy measure in the context of...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Aggregation functions are mathematical operators that merge given data in order to obtain a global v...
AbstractIn this paper, the fuzzy integral defined by Z.-X. Wang (Fuzzy Math. Wuhan, China, in press)...