@misc{Atanassov_Krassimir_Todorov_(1954–_)_Modern_2014,
 author={Atanassov, Krassimir Todorov (1954– ) and Hadjistoykov, Peter and Velizarova, Emilia},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Książka = Book},
 howpublished={online},
 year={2014},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={Nowadays forest fires management cannot be regarded as isolated set of activities, but rather as integral part of sustainable forest management (SFM). lt means that all forest management activities including forest fires management should be designed and implemented to cope with complex reallife situations causing minimal damages to other ecosystems and infrastructure. Especially with respect to forest fires ńsk management, a scientifically based approach regarding fire prevention activities has to be developed. These activities must be negotiated and planned with the interested parties (stakeholders like individuals, groups, farmers, institutions, etc.) in order to successfully fulfil many ecological, economic and social functions. To achieve good coordination among all parties, participatory approaches to sustainable forest management are widely applied as effective tools for analysis and decision support in ill-structured environments. In this paper, we propose a framework for analysis and development of measures targeted at forest fires prevention. Taking into account the intertwining of public and private interests, as well as local, regional, and global trends, more flexible decision support techniques are needed. In order to meet these requirements we make an attempt to apply an extension of the generic model of cognitive map (CM), intuitionistic fuzzy cognitive map (IFCM). The proposed model can help on structuring of complex problems in the area of sustainable forest management thus providing the necessary basis for prevention policies formulation. lt may also facilitate the responsible institutions to take the appropriate measures for forest fires prevention.},
 type={Text},
 title={Modern approaches in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: Applications * Cognitive mapping approach to forest fires management},
 URL={http://rcin.org.pl./Content/197945/PDF/KS-2014-03-T2R02.pdf},
}