Recent neuroscientific models of human behavior distinguish between different cognitive controllers: two instrumental systems (goal-directed and habitual) that maximize utility through learned actions, and a so-called Pavlovian system, which implements innate reactive responses. Although the interaction between instrumental and Pavlovian controllers has been suggested as a key process underlyin...

Maintenance is an important activity in industry. It is performed either to revive a machine/component or to prevent it from breaking down. Different strategies have evolved through time, bringing maintenance to its current state: condition-based and predictive maintenances. This evolution was due to the increasing demand of reliability in industry. The key process of condition-based and predic...

Estimating the reliability of a computer network has been a subject of great interest. It is a well known fact that this problem is NP-hard. In this paper we present a very efficient combinatorial approach for Monte Carlo reliability estimation of a network with unreliable nodes and unreliable edges. Its core is the computation of some network combinatorial invariants. These invariants, once co...

a number of 1810 members of the water user associations (wuas) of jarghouyeh district consisted the statistical population of the study, out of which 150 farmers were selected as sample using proportionate stratified random sampling technique. a questionnaire was developed for gathering the data and information. content validity and cronbach alpha proved both the validity and reliability of the...

From a perspective on quality management, network reliability maximization is very important for system supervisors. Despite the numerous studies related to network reliability maximization, no study takes correlated failure into account. This paper focuses on determining the optimal multistate resource assignment to maximize network reliability with correlated failures, where a correlated fail...

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

This paper is intended as a summary of combinatorial and computational properties of a Diameterconstrained network reliability model. Classical network reliability models are based on the existence of end-toend paths between network nodes, not taking into account the length of these paths; for many applications this is inadequate because the connection will only be established or attain the req...

    The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...

In this study, we proposed a method to find the fuzzy reliability of the network using fuzzy sum-of-disjoint product technique. We use the fuzzy graph theory techniques for addressing the reliability of a network with known minimal paths. We have also presented an efficient algorithm to find the reliability of the network.