Statistical regression analysis is a powerful and reliable method to determine the impact of
one or several independent variable (s) on a dependent variable. It is the most widely used …

In logistics, performance measurement has been considered as a key competency to
acquire world class performance. In light of this, we presented a robust methodology to …

Target-environment networks provide a conceptual framework for the analysis and
prediction of complex regulatory systems such as genetic networks, eco-finance networks or …

In systems sciences, the role of the environment is considered as a key factor for a deeper
understanding of interconnected complex systems. The framework of targetenvironment …

The information content of option prices on the underlying asset has a special importance in
finance. In particular, with the use of option implied trees, market participants may price other …

A new method for fuzzy linear regression is proposed to predict dissolved oxygen using
abiotic factors in a riverine environment, in Calgary, Canada. The proposed method is …

One of the deficiencies of previous fuzzy linear regression models is that with the increase of
the magnitudes of independent variables, the spreads of estimated fuzzy dependent …

Energy demand is gradually increasing due to rapid population growth. Using fossil fuels for
energy production destroys the environment and fossil energy-based reserves are expected …

A new autoregressive-type, updating fuzzy linear regression method is proposed to predict
daily dissolved oxygen (DO) concentration in a highly urbanized riverine environment …

This paper presents the results of a study carried out to develop an empirical fatality model
based on data of fatal and non-fatal earthquakes occurred in Iran since 1962. Two reliable …