scholarly journals Metrological Analysis of Online Consumption Evaluation Influence Commodity Marketing Decision Based on Data Mining

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yun-Hua Xu ◽  
Lin-Fang Huang ◽  
Rong-Rong Guo ◽  
Xu-Yang Zhang ◽  
Jia-Ming Zhu
Keyword(s):  
Radiation Effects ◽  
Clustering Algorithm ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Time Series Prediction ◽  
Arima Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Metrological Analysis ◽  
Evaluation Influence ◽  
Bp Neural Network Model

The data of reviews and ratings in the online market can provide guidance for company’s production and business activities. In this paper, firstly, we build a BP neural network model to help identify “useful consumer reviews.” Then, we use the fuzzy comprehensive evaluation method to identify the most successful and failing goods. Next, we achieve the time series prediction of product reputation by making use of ARIMA model. Finally, we use word segmentation and K-means clustering algorithm to determine whether stars and comments have radiation effects.

scholarly journals The hydrochemical characteristics and quality assessment of groundwater in Shuangliao City, China

2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang
Keyword(s):  
Groundwater Quality ◽  
Human Activities ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydrochemical Characteristics ◽  
Analytic Hierarchy ◽  
Liaohe River ◽  
Geological Conditions ◽  
Type Water

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.

Risk early warning management and intelligent real-time system of financial enterprises based on fuzzy theory

2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Financial Risk ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Real Time System ◽  
Enterprise Risk ◽  
Early Warning Management

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.

Analysis of Geological Disasters Economic Evaluation

2013 ◽  
Vol 444-445 ◽  
pp. 1751-1755
Author(s):  
Qing Hua Zhan ◽  
Shi Mei Wang
Keyword(s):  
Economic Evaluation ◽  
Evaluation Method ◽  
Statistical Data ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Geological Disasters ◽  
Multi Level ◽  
Basic Concepts

This paper first introduces the meaning and mission of the economic evaluation of geological disasters,as well as the basic concepts of different economic evaluation, and then discuss the methods of economic evaluation of geological disasters, including multi-level fuzzy comprehensive evaluation method and statistical data evaluation method, and gives the outlook of the economic evaluation of geological disasters.

Evaluation on the Suitability of Projects Linked to the Increase/Decrease in Urban and Rural Construction Land

2013 ◽  
Vol 295-298 ◽  
pp. 2493-2499 ◽  
Author(s):  
Jin Yang ◽  
Ya Xian Wu ◽  
Chao Xia
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Efficient Implementation ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Field Surveys ◽  
Construction Land ◽  
Comprehensive Evaluation Method ◽  
Rural Construction

An indicator system is established for the suitability of projects linked to the increase/decrease in urban and rural construction land based on the field surveys for the old areas to be dismantled in three administrative villages such as Niulandian Village, Tianjiagou Village and Nanchongsi Village of Tianchi Town in Lezhi County of Sichuan Province, and the fuzzy comprehensive evaluation method is used to evaluate indicators. The analysis of evaluation results provides reference for the efficient implementation of projects linked to the increase/decrease in urban and rural construction land.

Sustainable Attraction of Ecological Countryside Resort

2013 ◽  
Vol 361-363 ◽  
pp. 15-20
Author(s):  
Shu Hai Zhang
Keyword(s):  
Index System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Service Marketing ◽  
Fuzzy Comprehensive Evaluation ◽  
Quantitative Index ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Qualitative And Quantitative

Based on the analysis of nine factors, which influencing mostly the sustainable attraction of Ecological Countryside Resort, this paper builds an index system for evaluating the attraction of Ecological Countryside Resort. Considering the attribute of the evaluation of sustainable attraction of ecological countryside resort, which is multi-gradation, multi-factor, and qualitative-and-quantitative-index-concentrating, this paper develops a multilevel fuzzy comprehensive evaluation method for assessing sustainable attraction of Ecological Countryside Resort. Thus, this paper provides a basis for improving the sustainable attraction of Ecological Countryside Resort, prolonging the life of Ecological Countryside Resort, optimizing the development and service marketing of Ecological Countryside Resort.

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