A Study of Forest Health Assessment Based on Fortran Program for Larix principis-rupprechtii Plantation in Eastern Inner Mongolia, China

2013 ◽  
Vol 380-384 ◽  
pp. 4480-4483
Author(s):  
Yan Rong Guo ◽  
Bao Guo Wu ◽  
Yang Liu ◽  
Shuo Cai

In order to determine the health status of Larix principis-rupprechtii plantation in the Eastern Inner Mongolia, the field data were surveyed and then the principal component analysis, mean-variance analysis method and fuzzy comprehensive evaluation method based on Fortran program were comprehensively applied to evaluate these forests in this study. Results showed that the health grade of Larix principis-rupprechtii plantation was 2.267. The health grade was between the sub-health and medium health, which was lean to the sub-health in the eastern Inner Mongolia.

2013 ◽  
Vol 821-822 ◽  
pp. 295-300
Author(s):  
Shan Wen ◽  
Shi Hua Luo

This paper studies the cool comfort performance of cool refreshing type fabric, starting from the fabric heat and moisture performance, style property and air permeability, using fuzzy comprehensive evaluation method, the principal component analysis and tactile methods to evaluate the fabric of the cool comfort performance, and statistical analysis of the correlation between physical indexes and cool comfort performance, get air permeability, moisture resistance, moisture rate and thermal resistance indexes can be used as the physical indexes of cool refreshing type fabric of cool comfort performance; at the same time, studies show that the test method can accurately reflect the cool refreshing type fabric of cool comfort performance is a subjective and objective evaluation method of combining.


2012 ◽  
Vol 226-228 ◽  
pp. 729-733
Author(s):  
Guang Yu Zhang ◽  
Qing Min Li ◽  
En Shun Ge

Increasing sophistication of naval shipboard machinery coupled with increasing competition for skilled manpower and tightening of defense budgets is forcing the Navy to consider alternative maintenance concepts. This paper proposes a health assessment process in condition-based maintenance architecture based on variable weight fuzzy comprehensive evaluation method. Through analyzing the variables affecting on warship electromechnical equipment condition, a layered assessment index system for warship electromechnical equipment health assessment is built. First, the AHP method is used to determine the constant weight of every index, and then the variable weight model is introduced based on balanced function, in which the constant weight is modified to get the variable weights. By comparing the fuzzy synthetic evaluation based on constant weights with that based on variable weighs, the results show that, the latter is more reasonable and objective, and is also more close to the actual condition of warship electromechnical equipment.


2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.


2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.


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