As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science.This model provides a useful technical-scientific decision-making tool that can effectively support the assessment process of ... In Chapter 4, aComprehensive Methods for Dealing with Uncertainty in Assessing Sustainability Part 1: The MIVES ... in Chapter 5, aComprehensive Methods for Dealing with Uncertainty in Assessing Sustainability Part 2: The FuzzyMIVES Method. ... and discussed potential techniques for dealing with uncertainty and applied them to a different energy problem.
|Title||:||Soft Computing Applications for Renewable Energy and Energy Efficiency|
|Author||:||Cascales, Maria del Socorro García|
|Publisher||:||IGI Global - 2014-10-31|