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Modeling methodologies of synergic effects related to climate change and sustainable energy management

Periodica Polytechnica Social and Management Sciences

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Field Value
 
Title Modeling methodologies of synergic effects related to climate change and sustainable energy management
 
Creator Fűr, Attila
Csete, Mária
 
Subject Sugeno-type FUZZY; Knowledge Attributed Petri Nets (KAPN); Cellular Neural Network (CNN); climate change; sustainable energy management; synergic effects
 
Description The main aim of the present article is to highlight the synergic effects related to climate change and sustainable energy management. Due to our model and given methodology it is possible to examine the relations between the terms mentioned above. In our Knowledge Attributed Petri Net based simulation model the most significant elements are highlighted in question of integrating Cellular Neural Networks and Fuzzy Systems into an object oriented formal description. This methodology implies the importance of holistic approach - namely the usage of predefined risk categories, spreading of causes and effects in physical space - that is crucial in these investigations. Only marginal attention is paid to the synergic effects related to adaptation and mitigation efforts according to climate change. Taking every result into account, this methodologically complex subject is possible to examine from the point of sustainability.
 
Publisher Budapest University of Technology and Economics
 
Date 2010-01-01
 
Type info:eu-repo/semantics/article
Peer-reviewed Article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://www.periodicapolytechnica.org/so/article/view/1588
10.3311/pp.so.2010-1.02
 
Source Periodica Polytechnica Social and Management Sciences; Vol. 18, No. 1 (2010); 11-19
 
Language eng
 
Relation http://www.periodicapolytechnica.org/so/article/view/1588/906
 
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