Within the context of EAM numerous approaches proposed by researches exist. Still, it is not easy for companies to choose the most suitable one from the multitude of architecture frameworks and methods. Additionally trends in the global economy and the resulting pressure on the part of competitors force companies to introduce more effective management processes. As a consequence, EAM faces the ...

Multiple Sclerosis (MS) was recognized as a distinct disease involving both the brain and spinal cord and associated with disseminated demyelinating plaques (“la sclérose en plaques”) and axonal damage more than 145 years ago by French neurologist JeanMartin Charcot [1]. Since that time, the world has witnessed many remarkable discoveries. Due to progress in physics and mathematics, MRI has bec...

Cladistic analysis of cranial and dental evidence has been widely used to generate phylogenetic hypotheses about humans and their fossil relatives. However, the reliability of these hypotheses has never been subjected to external validation. To rectify this, we applied identical methods to equivalent evidence from two groups of extant higher primates for whom reliable molecular phylogenies are ...

in this study we have tried to identify the most important factors in employee turnover; and using deep understanding and then prioritizing of these factors, appropriate recommendations to reduce their negative effects will be presented. the above factors in the two main hypotheses and also five sub-hypotheses has been investigated and analyzed. in this study using descriptive method and also u...

I n addition to labor force and capital, energy plays a significant role in the production of commodities and services. Energy is the driving force of production activities. Therefore, it is an essential ingredient of growth and development. Results obtained from this paper show that the growth of oil products consumption has a positive effect on economic development via two channels: Firstly,...

the problem of hypothesis testing with a nuisance parameter is considered. two methods forusing fuzzy knowledge on the nuisance parameter to test hypotheses are suggested. these methods areneither a pure classical nor a pure bayesian approach to hypothesis testing, but rather related to both. afew known examples and their applications, which cannot be studied by the parametric statisticalmethod...

In this paper, a linear optimization problem is investigated whose constraints are defined with fuzzy relational inequality. These constraints are formed as the intersection of two inequality fuzzy systems and Schweizer-Sklar family of t-norms. Schweizer-Sklar family of t-norms is a parametric family of continuous t-norms, which covers the whole spectrum of t-norms when the parameter is changed...