scholarly journals Research of Modern Information Technology on Tree Growth Management Decision Making Model

2013 ◽  
Vol 347-350 ◽  
pp. 2418-2421
Author(s):  
Yuan Li ◽  
Wen Qing Zhang ◽  
Hua Liu ◽  
Hui Qin Yang ◽  
Xu Ning Liu

Tree growth management decision-making model can simulate growth management of tree and perform quantitative analysis of tree growth conditions. This paper explores the feasibility of modern information technology in management assessment of tree growth, information technology include neural network, ontology and expert system technology, then ontology technology is used to establish ontology database and knowledge base of tree growth management resource, the growth simulation and tree growth management ontology technology are used to build simulation models of tree growth, then expert systems and neural network technology are combined to simulate tree growth development process of decision-making model. The practice has proved that the research can not only predict the growth conditions of tree and dynamic grasp the growth process of the tree, but also can provide theoretical basis for the analysis and evaluation of tree growth management, greatly improving the level of tree growth management.

2013 ◽  
Vol 373-375 ◽  
pp. 1806-1809
Author(s):  
Guo Dong Han ◽  
Xin Qiang Li ◽  
Xian Hui Duan ◽  
Xu Ning Liu

In order to grasp the related information and parameters needed by the tree growth, and management, establish the authentic decision-making model of tree growth management using the effective resource information, the resource information of tree growth management are investigated from the perspective of ontology and knowledge base technology. The paper introduces the ontology and knowledge base technology, adopts the knowledge organizing pattern based on ontology, studies the structure and technique of knowledge of tree growth management, the ontology is regarded as the knowledge organizing pattern to establish the open knowledge base of tree growth management, and constructs the management model of tree growth. Practice has proved that the research and application of ontology in the resource information of tree growth management has important value for the model construction of tree growth management, achieves the sharing of resource information of tree growth management.


1981 ◽  
Vol 63 (2) ◽  
pp. 270-274 ◽  
Author(s):  
David L. Debertin ◽  
Charles L. Moore ◽  
Larry D. Jones ◽  
Angelos Pagoulatos

2017 ◽  
Vol 41 (1) ◽  
pp. 57-67
Author(s):  
Anna Alekseevna Khanova ◽  
Kristina Igorevna Averianova

The article deals with socio-economic strategic management, which implemented on the basis of Balanced Scorecard, multidimensional modeling and its set-theoretic representation. The main idea of the article is using of modern information technology to assist in decision-making. Much attention is given to formalization of SCIPEOmodeling and integration of its sub-model. The process of developing of management decisions is considered. The integration of these tools will improve the management of the system in a situation of total or partial indeterminacy.


The most modern, the so-called new information technology (IT) holds a special place among the applied technologies. The existing information technology can be formally divided into two large interconnected classes: program mathematical tools for informatization meant for designing the modern information technology and applied information technology that provides decision-making and support.


2019 ◽  
Vol 21 (2) ◽  
pp. 81-92
Author(s):  
Angela Curtean-Bănăduc ◽  
Ioana-Cristina Cismaş ◽  
Doru Bănăduc

Abstract ADONIS:CE has been used as a base to create a support-system management decision-making model for Alburnus alburnus (Linnaeus, 1758) and Alburnoides bipunctatus (Bloch, 1782) species. Investigation of the habitat necessities and the identification of the necessary elements for a good status of conservation of these two fish species populations has revealed the pressures and threats to these congener species, for which specific management activities have been finally recommended.


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