monte carlo methods designed base on stochastic reiterations and can be useful in uncertainty conditions. the purpose of this research was investigation of uncertainty to rank desertification indicators. in order to decrease uncertainty have been applied monte carlo reiterations for each value of indicator, if rank of xi is higher than rank of xk constantly. using multi dimension integrals the ...

Because of the existence of uncertainty measurement in the process of bearings degradation, it is difficult to carry out the reliability analysis. The random performance degradation model is used to analyze the reliability life of high-speed train bearing with the characteristics of slow degradation process and relatively stable degradation path. The unknown coefficients are viewed as random va...

This study was conducted in 2016 aimed to investigate the relationship between empowering leadership, uncertainty avoidance, trust, and employee creativity with regard to interaction effects and mediating mechanism. The population consists of 205 employees from the Nomadic affairs of Fars Province. In accordance with the Cochran formula, the sample size of 134 was calculated that were participa...

We address the theory of records for integrated random walks with finite variance. The long-time continuum limit these is a non-Markov process known as acceleration or integral Brownian motion. In this limit, renewal structure record cornerstone analysis its statistics. thus obtain analytical expressions several characteristics process, notably distribution total duration runs (sequences consec...

There are many situations for statistical process in which we have both random and vague information. When uncertainty is due to fuzziness of information, fuzzy statistical control charts play an important role in the monitoring process, because they simultaneously deal with both kinds of uncertainty. Dealing with fuzzy characteristics using classical methods may cause the loss of information a...

In practically all real-world planning and scheduling problems one is faced with uncertainty. Usually this uncertainty is abstracted away during the modeling process, such that standard combinatorial optimization algorithms can be used to solve the problem. This abstraction step is necessary, because these algorithms generally cannot deal with uncertainty. In this thesis we study the Vehicle Ro...