The main aim of this paper is to establish a basis for reliability structure functions where the space of states for the system and its components is assumed to be a family of fuzzy numbers. A particular non-probabilistic uncertainty can be modeled in this way, generalizing classical crisp binary and multistate models in reliability theory. The importance of an underlying order relation defined on the given family of fuzzy numbers is also stresse
AbstractThe most difficult form of its periodicity is one of the conditions of the elements which tr...
The paper presents a new approach to reliability and functional analysis of sophisticated complex sy...
Abstract: Till now, in the literature, arithmetic operations between same types of vague sets are di...
In reliability analysis, complexity of data handling arises due to the complexity of systems with la...
Our objective here is to study the role that fuzzy measures can play in systems reliability modeling...
With the object of translating some concepts and results from classical Reliability Theory into part...
Abstract: Fuzzy set based methods have been proved to be effective in handling many types of uncerta...
Considering the fuzziness of load, strength, operational states, and state probability, reliability ...
Data mining (DM) is a collection of algorithms that are used to find some novel, useful and interes...
Classical sets are used commonly to consider reliability. Because of the uncertainty in the data (wh...
There are two different concepts that are often used incorrectly - randomness and imprecision. The r...
In general fuzzy sets are used to analyze the fuzzy system reliability. Here intuitionistic fuzzy se...
The main aim of this paper is to show how lattice theory in the very next future will be a useful to...
Nondeterministic parameters of certain distribution are employed to model structural uncertainties, ...
In this work, a new and efficient definition for a reliability index is explored for real structural...
AbstractThe most difficult form of its periodicity is one of the conditions of the elements which tr...
The paper presents a new approach to reliability and functional analysis of sophisticated complex sy...
Abstract: Till now, in the literature, arithmetic operations between same types of vague sets are di...
In reliability analysis, complexity of data handling arises due to the complexity of systems with la...
Our objective here is to study the role that fuzzy measures can play in systems reliability modeling...
With the object of translating some concepts and results from classical Reliability Theory into part...
Abstract: Fuzzy set based methods have been proved to be effective in handling many types of uncerta...
Considering the fuzziness of load, strength, operational states, and state probability, reliability ...
Data mining (DM) is a collection of algorithms that are used to find some novel, useful and interes...
Classical sets are used commonly to consider reliability. Because of the uncertainty in the data (wh...
There are two different concepts that are often used incorrectly - randomness and imprecision. The r...
In general fuzzy sets are used to analyze the fuzzy system reliability. Here intuitionistic fuzzy se...
The main aim of this paper is to show how lattice theory in the very next future will be a useful to...
Nondeterministic parameters of certain distribution are employed to model structural uncertainties, ...
In this work, a new and efficient definition for a reliability index is explored for real structural...
AbstractThe most difficult form of its periodicity is one of the conditions of the elements which tr...
The paper presents a new approach to reliability and functional analysis of sophisticated complex sy...
Abstract: Till now, in the literature, arithmetic operations between same types of vague sets are di...