A Bayesian decision method for climate change signal analysis

Bayesian Climate Change

Spatial analysis of climate change in Iran

Introduction Climate change is the greatest price society is paying for decades of environmental neglect. The impact of global warming is most visible in the rising threat of climate-related natural disasters. Globally, meteorological disasters more than doubled, from an average of forty-five events a year to almost 120 events a year (Vinod, 2017). Climate change refers to changes in the distr...

Endogenous Risks and Learning in Climate Change Decision Analysis

A Method for Climate Signal Estimation from Incomplete Data

This work concerns the problem of extracting climate signals or climatologies from observations collected at fixed sites. Ground-based observing stations are typically distributed unevenly and sparsely, leaving many scales of spatial variability poorly sampled. Moreover, the stations typically do not operate over a common time period of adequate length—and most don’t collect data uniformly even...

Interval-Valued Hesitant Fuzzy Method based on Group Decision Analysis for Estimating Weights of Decision Makers

In this paper, a new soft computing group decision method based on the concept of compromise ratio is introduced for determining decision makers (DMs)' weights through the group decision process under uncertainty. In this method, preferences and judgments of the DMs or experts are expressed by linguistic terms for rating the industrial alternatives among selected criteria as well as the relativ...