In reliability analysis, complexity of data handling arises due to the complexity of systems with large number of electronic components. Due to the sophistication of the devices with Integrated Circuits, there Is a scarcity of failure data to analyze the system and to compare with alternative designs. In this context, for example, we often need to consider failure of components which have never failed before, Fuzzy Arithmetic has the capacity of dealing with such situations. The theory of fuzzy sets has been widely used for providing a mathematical framework to concepts which are imprecise and uncertain. This paper presents a method based on fuzzy arithmetic to calculate reliability of a component or a system considering uncertainty associa...
For mixed uncertainties of random variables and fuzzy variables in engineering, three indices, that ...
Abstract: Till now, in the literature, arithmetic operations between same types of vague sets are di...
Fuzzy fault trees provide a powerful and computationally efficient technique for developing fuzzy pr...
In general fuzzy sets are used to analyze the fuzzy system reliability. Here intuitionistic fuzzy se...
AbstractIn a man-machine system, equipment reliability and human reliability are affected by many fa...
Abstract: Fuzzy set based methods have been proved to be effective in handling many types of uncerta...
The main aim of this paper is to establish a basis for reliability structure functions where the spa...
The number of failures plays an important factor in the study of maintenance strategy of a manufactu...
Reliability allocation is quite important during early design and development stages for a system to...
The number of failures plays an important factor in the study of maintenance strategy of a manufactu...
It is a well known fact that classical reliability analysis using probabilities has been found to be...
It is well known that conventional reliability analysis using probabilities has been found to be ina...
AbstractThe most difficult form of its periodicity is one of the conditions of the elements which tr...
The system reliability depends on the reliability of its components itself. Therefore, it is necessa...
Classical sets are used commonly to consider reliability. Because of the uncertainty in the data (wh...
For mixed uncertainties of random variables and fuzzy variables in engineering, three indices, that ...
Abstract: Till now, in the literature, arithmetic operations between same types of vague sets are di...
Fuzzy fault trees provide a powerful and computationally efficient technique for developing fuzzy pr...
In general fuzzy sets are used to analyze the fuzzy system reliability. Here intuitionistic fuzzy se...
AbstractIn a man-machine system, equipment reliability and human reliability are affected by many fa...
Abstract: Fuzzy set based methods have been proved to be effective in handling many types of uncerta...
The main aim of this paper is to establish a basis for reliability structure functions where the spa...
The number of failures plays an important factor in the study of maintenance strategy of a manufactu...
Reliability allocation is quite important during early design and development stages for a system to...
The number of failures plays an important factor in the study of maintenance strategy of a manufactu...
It is a well known fact that classical reliability analysis using probabilities has been found to be...
It is well known that conventional reliability analysis using probabilities has been found to be ina...
AbstractThe most difficult form of its periodicity is one of the conditions of the elements which tr...
The system reliability depends on the reliability of its components itself. Therefore, it is necessa...
Classical sets are used commonly to consider reliability. Because of the uncertainty in the data (wh...
For mixed uncertainties of random variables and fuzzy variables in engineering, three indices, that ...
Abstract: Till now, in the literature, arithmetic operations between same types of vague sets are di...
Fuzzy fault trees provide a powerful and computationally efficient technique for developing fuzzy pr...