In the past, many researchers have developed intuitionistic fuzzy set (IFS) and clustering based fuzzy time series (FTS) forecasting methods to enhance the accuracy in forecast in the environment of uncertainty and non-determinacy. The current research work offers a computational approach for...

Gradient Boosting Machine (GBM) models are widely used in regression and classification problems and can give effective results. These models are models that use simple basic learners iteratively by weighting them repeatedly. Most of the time, decision stumps are used as the basic learners. In...

Similarity measures have been proven over time for their usefulness in solving real-time problems. Researchers modify and develop new methods to suit different areas of application relative to specific data sets. The existing similarity measures on some application domains gave ineffective...

To design a set of suitable drip irrigation strategies for tomato production, an experiment was laid out in a randomized complete-block design, with combinations of three drip irrigation frequencies (once/day, 3 times/day, and 5 times/day) and two drip irrigation times. Six treatments were...

Annually, large amounts of hazardous materials (hazmat) are transported through the roads and this movement causes various accidents. Identifying the causes of these accidents is a critical issue for all public governments.This study aimed to identify the effective risk factors for hazmat road...

In this study, an interval two-stage fuzzy fractional programming (TFFP) method is developed to support collaborative governance of economy and water resources. Methods of interval programming, fuzzy programming, two-stage programming, and fractional programming are integrated within a general...

Under the background of new power system, the proportion of new energy power generation enterprises in the power market is gradually increasing. With the further expansion of China's power trading scale, the increasingly fierce market competition and the instability of new energy output, the...

Despite the importance of relying on renewable energy sources, oil-producing countries, especially Iran, encounter numerous risks associated with the generation of such energy sources. The present study investigated the risks in renewable energy in Iran. As the first investigation addressing...