Use of the models for multicriterial decision-making in the development of optimal wood processing after wind disaster

被引:0
|
作者
Hillermann, Tomáš [1 ]
Štůsek, Jaromír [2 ]
机构
[1] Lesy české republiky s. p., Lesní správa Dvůr Králové n. L., 28. října 787, Dvůr Králové nad Labem,544 01, Czech Republic
[2] Česká zemědělská univerzita v Praze, Provozně ekonomická fakulta, Kamýcká 129, Praha 6 - Suchdol,165 21, Czech Republic
来源
Zpravy Lesnickeho Vyzkumu | 2019年 / 64卷 / 03期
关键词
Climate change - Timber - Decision making;
D O I
暂无
中图分类号
学科分类号
摘要
The main objective of the research was to propose and validate new methods and procedures for solving crisis situations in forestry and to create aids for decision making of forest owners and managers. Motivation to the research was the increasing number of emerging crisis situations and growing damage to the forest environment. In the framework of the pre-research, the theoretical basis of the problems was defined, the significance of solved problems for forestry was determined, analysis and subsequent synthesis of the existing literary sources was carried out, and the aim of the work was defined. In order to solve the problem, the sequence within processing of the windfall wood was determined, using the MCDA method. On the basis of research results, the real possibility of the use of mathematical methods to support decision-making of management in forestry when dealing with crisis situations was demonstrated. The possibility of using the MCDA method to determine the sequence of solutions within windfall wood processing in a particular case was verified. Currently there has been an increasing number of emerging crisis situations in the context of climate change and society impact on the environment in the forestry sector. Therefore it is necessary to develop new methods and procedures to deal with crisis situations and avoid the occurrence of major economic and environmental damage to the forest environment. © 2019, Forestry and Game Management Research Institute.
引用
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页码:125 / 132
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