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Forest health assessment method based on entropy weight-cloud model

A technology of health assessment and cloud model, applied in the field of forest health assessment based on entropy weight-cloud model, can solve the problems of subjectivity, complex application, inability to solve the problems of ambiguity and randomness, etc., and achieve the effect of objective evaluation results.

Inactive Publication Date: 2020-10-30
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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Problems solved by technology

Wang Qiuyan et al. (2018) summarized eleven methods that have been widely used by scholars at home and abroad, including principal component analysis, analytic hierarchy process, fuzzy comprehensive evaluation method, indicator species evaluation method, artificial neural network method, and health distance method. , gray relational analysis, multiple linear regression, index evaluation, cluster analysis and comprehensive index evaluation, etc. Some of these methods are too subjective, some are too complicated to apply and have limited application range, and some require Too idealistic, and some cannot solve the fuzziness and randomness problems in the evaluation process. The defects of these evaluation methods directly affect the efficiency and accuracy of forest health evaluation

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  • Forest health assessment method based on entropy weight-cloud model
  • Forest health assessment method based on entropy weight-cloud model
  • Forest health assessment method based on entropy weight-cloud model

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Embodiment Construction

[0026] The scheme of the present invention is described in detail below in conjunction with accompanying drawing, the scheme of the embodiment of the present invention comprises the following steps:

[0027] 1) Build a judgment matrix;

[0028] 2) Index standardization;

[0029] 3) Calculate the entropy value of each index;

[0030] 4) Build a normal cloud model;

[0031] 5) Select structural indicators, vitality indicators, sustainability indicators, and anti-interference indicators in the normal cloud model for evaluation; classify the forest health status.

[0032] Among them, the method of constructing the judgment matrix is ​​as follows: there are m evaluation objects, n evaluation indicators, r ij Indicates the value of the jth (j=1,2,…,n) evaluation index of the i (i=1,2,…,m) evaluation object, thus establishing a normalized matrix (r ij ) m*n .

[0033] The index standardization process is: use the positive index and negative index of the range method to quantify...

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Abstract

The invention relates to a forest health assessment method, in particular to a forest health assessment method based on an entropy weight-cloud model. The scheme of the invention comprises the following steps: 1) constructing a judgment matrix; 2) performing index standardization processing; 3) calculating the entropy of each index; 4) constructing a normal cloud model; 5) selecting a structural index, a vitality index, a sustainability index and an anti-interference index in the normal cloud model for evaluation; and grading the forest health state. According to the forest health assessment method based on the entropy weight-cloud model, a traditional forest health evaluation mode is changed, randomness and fuzziness of evaluation indexes and evaluation results are considered, and the evaluation results are more objective and close to the actual situation. The uncertainty mapping between evaluation indexes and evaluation grades is realized, and a new thought and method are provided for scientific evaluation of forest health.

Description

technical field [0001] The invention relates to a forest health assessment method, in particular to a forest health assessment method based on an entropy weight-cloud model. Background technique [0002] Forest is a kind of renewable resource, which can not only provide timber and other raw materials needed for economic and social construction, but also has incomparable ecological functions, and has the title of "the lungs of the earth". The normal performance of forest ecological and economic functions depends to a large extent on the health of the forest. Forest health assessment is a hot topic at home and abroad, and has become an important means of forest status assessment and forest resource management at home and abroad. The evaluation results It is the basis for formulating better sustainable management programs and measures. [0003] The research on forest health assessment mainly includes the connotation of forest health, evaluation scale, index system, determinati...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/06393G06Q50/02
Inventor 张贵李显良李建军
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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