A risk investment evaluation method based on dynamic bayesian network and fuzzy system

2020 ◽  
Vol 39 (2) ◽  
pp. 1515-1523
Author(s):  
Xie Lechen ◽  
Wang Wenlan
Keyword(s):  
Bayesian Network ◽  
Fuzzy System ◽  
Evaluation System ◽  
Evaluation Method ◽  
Fuzzy Inference ◽  
Dynamic Bayesian Network ◽  
Investment Evaluation ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Function ◽  
Risk Investment

In order to enhance the risk investment evaluation algorithm precision of forestry rights mortgage of farmers, this paper provides a method of risk investment validating process of forestry rights mortgage of farmers based on dynamic Bayes network (DBN) and fuzzy system. For that have to be processed fuzzy data in time arrangement and evaluate the circumstance viably, Intuitionistic Fuzzy Dynamic Bayesian Network (IFDBN) is assembled. Intuitionistic fuzzy thinking is implanted into DBN as a virtual node in this method. Also, another technique to change over the intuitionistic fuzzy thinking yield into likelihood that could contribution to DBN as proof is proposed. Firstly, it analyzes the risk investment of forestry rights mortgage of farmers, raises the risk evaluation system and adopts normalization and factor analysis methods to pre-process the model index; secondly, by aid of a four-layer DBN model, it puts forward the hierarchical DBN model of risk investment, having input layer, fuzzy layer, fuzzy inference layer and output layer, designs the composition and calculation mode of fuzzy function module and DBN module; Finally, it verifies the viability of the calculation through experimental examination.

scholarly journals Reliability evaluation of dynamic face recognition systems based on improved Fuzzy Dynamic Bayesian Network

2020 ◽  
Vol 16 (3) ◽  
pp. 155014772091155
Author(s):  
Zhiqiang Liu ◽  
Wenbo Zhu ◽  
Hongzhou Zhang ◽  
Shengjin Wang ◽  
Lu Fang ◽  
...  
Keyword(s):  
Face Recognition ◽  
Bayesian Network ◽  
System Reliability ◽  
Evaluation Method ◽  
Recognition Performance ◽  
Dynamic Bayesian Network ◽  
Practical Significance ◽  
Identification Rate ◽  
Fuzzy C Means ◽  
Recognition Systems

The reliability of face recognition system has the characteristics of fuzziness, randomness, and continuity. In order to measure it in unconstrained scenes, we find out and quantify key broad-sense and narrow-sense influencing factors of reliability on the basis of analyzing operation states for six dynamic face recognition systems in the practical use of six public security bureaus. In this article, we propose a novel evaluation method with True Positive Identification Rate in dynamic and M:N mode and create a novel evaluation model of system reliability with the improved Fuzzy Dynamic Bayesian Network. Subsequently, we infer to solve the fuzzy reliability state probabilities of the six systems with Netica and get two most important factors with the improved fuzzy C-means algorithm. We verify the model by comparing the evaluation results with actual achievements of these systems. Finally, we find several vulnerabilities in the system with the least reliability and put forward a few optimization strategies. The proposed method combines advantages of the improved fuzzy C-means model with those of the dynamic Bayesian network to evaluate the reliability of the dynamic face recognition systems, making the evaluation results more reasonable and realistic. It starts a new research of face recognition systems in unconstrained scenes and contributes to the research on face recognition performance evaluation and system reliability analysis. Besides, the proposed method is of practical significance in improving the reliability of the systems in use.

scholarly journals Intuitionistic Fuzzy Dynamic Bayesian Network and its Application to Terminating Situation Assessment

2019 ◽  
Vol 154 ◽  
pp. 238-248 ◽  
Author(s):  
Lin Wang ◽  
Hai Yan Yang ◽  
Shuai Wen Zhang ◽  
Hai Huang ◽  
Jun Zhou
Keyword(s):  
Bayesian Network ◽  
Dynamic Bayesian Network ◽  
Situation Assessment ◽  
Intuitionistic Fuzzy

scholarly journals Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model

2019 ◽  
Vol 11 (19) ◽  
pp. 5521 ◽  
Author(s):  
Yao-Zhi Xu ◽  
Jian-Lin Zhang ◽  
Ying Hua ◽  
Lin-Yue Wang
Keyword(s):  
Decision Tree ◽  
Credit Risk ◽  
Risk Evaluation ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Dynamic Bayesian Network ◽  
The Sustainable Development ◽  
Numerical Attributes ◽  
Artificial Neural Network Ann

Credit risk evaluation is important for e-commerce platforms, due to the uncertainty and transaction risk associated with buyers and sellers. Moreover, it is the key ingredient for the development of the e-commerce ecosystem and sustainability of the financial market. The main objective of this paper is to develop an effective and user-friendly system for seller credit risk evaluation. Three hybrid artificial intelligent models, including (1) decision tree—artificial neural network (ANN), (2) decision tree—logistic regression, and (3) decision tree—dynamic Bayesian network have been investigated. The models were trained using sellers credit cases from Taobao, which has 609 cases, and each case had 23 categorical and numerical attributes. The results suggest that the combination of decision tree—ANN provides the highest accuracy, which can promote healthy and fast transactions between buyers and sellers on the platforms. This model is regarded as a powerful tool that allows us to build an advanced credit risk evaluation system, and meet the requirements of the platform transaction mode to be dynamic and self-learning—which will ultimately contribute to the sustainable development of the e-commerce ecosystem. The empirical results can serve as a reference for e-commerce platforms promoting an optimum credit risk evaluation model to improve e-commerce transaction environment and for buyers and investors making decisions.

An Intuitionistic Fuzzy Based Novel Approach to CPU Scheduler

2020 ◽  
Vol 16 (4) ◽  
pp. 316-328
Author(s):  
Supriya Raheja
Keyword(s):  
Fuzzy Inference ◽  
The Other ◽  
Simulation Environment ◽  
Inference System ◽  
Intuitionistic Fuzzy ◽  
Novel Approach ◽  
Continuous Feedback ◽  
Simulation Results ◽  
Effectiveness And Efficiency ◽  
Unique Capability

Background: The extension of CPU schedulers with fuzzy has been ascertained better because of its unique capability of handling imprecise information. Though, other generalized forms of fuzzy can be used which can further extend the performance of the scheduler. Objectives: This paper introduces a novel approach to design an intuitionistic fuzzy inference system for CPU scheduler. Methods: The proposed inference system is implemented with a priority scheduler. The proposed scheduler has the ability to dynamically handle the impreciseness of both priority and estimated execution time. It also makes the system adaptive based on the continuous feedback. The proposed scheduler is also capable enough to schedule the tasks according to dynamically generated priority. To demonstrate the performance of proposed scheduler, a simulation environment has been implemented and the performance of proposed scheduler is compared with the other three baseline schedulers (conventional priority scheduler, fuzzy based priority scheduler and vague based priority scheduler). Results: Proposed scheduler is also compared with the shortest job first CPU scheduler as it is known to be an optimized solution for the schedulers. Conclusion: Simulation results prove the effectiveness and efficiency of intuitionistic fuzzy based priority scheduler. Moreover, it provides optimised results as its results are comparable to the results of shortest job first.

Risk Control Study Based on the Digital Recording Technology Industry Investment Projects in "Internet +"

2020 ◽  
Vol 14 ◽  
Author(s):  
Yan Zhou
Keyword(s):  
Venture Capital ◽  
Digital Technology ◽  
Risk Control ◽  
Investment Risk ◽  
Digital Recording ◽  
Project Investment ◽  
Recording Technology ◽  
Technology Project ◽  
Investment Evaluation ◽  
Risk Investment

Background: The reform and innovation of recording technology has resulted in recording becoming an exciting, developing project. Against the background of Internet +, traditional analogue technology has developed into digital recording technology, playing an important role in various fields. Venture capital in digital recording technology projects has also attracted attention from all circles. Objective: This paper aims to, by sorting out literature on venture capital, analyze the measurement method of project investment risk, and then, after analyzing the risk factors existing in the investment of digital recording technology under the “Internet +”, propose measures to control these risk factors. At the same time, taking CY company as an example, the investment risk prevention strategy of digital recording technology project is applied to the risk investment evaluation practice of CY company. Methods: This paper reviews and comments the literature on venture capital, and sorts out the evaluation methods of project investment risk. After studying the project investment risk of digital recording technology, this paper finds out the preventive strategies to deal with these risks, and applies them to risk investment evaluation of CY. This paper proposes investment suggestions basing on various factors, and makes an overall evaluation of the value of digital recording technology project, which hopefully will act as a reference for venture capital institutions when investing in digital recording technology in the future. Results: The countermeasures against investment risks in digital recording technology projects are: 1. Identification of countermeasures against investment risks in digital recording technology projects. 2. Encouragement and promotion of joint-stock cooperation and reduction of operational risks 3. Establishment and improvement of financial risk control. Conclusion: Digital technology, which is continuously improving, has penetrated recording technology. With mindful awareness of investment risks and careful investment in recording technology projects, digital technology can improve living standards while making the flexibility and form of recording work more artistic and enabling recording technology to reach new heights.

scholarly journals Lexicographic Orders of Intuitionistic Fuzzy Values and Their Relationships

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 166 ◽  
Author(s):  
Feng Feng ◽  
Meiqi Liang ◽  
Hamido Fujita ◽  
Ronald Yager ◽  
Xiaoyan Liu
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Scalar Product ◽  
Multiple Attribute Decision Making ◽  
Benchmark Problem ◽  
Score Functions ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Risk Investment ◽  
Membership Score

Intuitionistic fuzzy multiple attribute decision making deals with the issue of ranking alternatives based on the decision information quantified in terms of intuitionistic fuzzy values. Lexicographic orders can serve as efficient and indispensable tools for comparing intuitionistic fuzzy values. This paper introduces a number of lexicographic orders by means of several measures such as the membership, non-membership, score, accuracy and expectation score functions. Some equivalent characterizations and illustrative examples are provided, from which the relationships among these lexicographic orders are ascertained. We also propose three different compatible properties of preorders with respect to the algebraic sum and scalar product operations of intuitionistic fuzzy values, and apply them to the investigation of compatible properties of various lexicographic orders. In addition, a benchmark problem regarding risk investment is further explored to give a comparative analysis of different lexicographic orders and highlight the practical value of the obtained results for solving real-world decision-making problems.

scholarly journals Color Image Evaluation for Small Space Based on FA and GEP

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Li Deng ◽  
Sui-Huai Yu ◽  
Wen-Jun Wang ◽  
Jun-Xuan Chen ◽  
Guo-Chang Liu
Keyword(s):  
Evaluation System ◽  
Frequency Conversion ◽  
Evaluation Method ◽  
Color Image ◽  
Gene Expression Programming ◽  
Image Evaluation ◽  
Evaluation Tool ◽  
Small Space ◽  
Entropy Weight ◽  
Fast Evaluation

Aiming at the problem that color image is difficult to quantify, this paper proposes an evaluation method of color image for small space based on factor analysis (FA) and gene expression programming (GEP) and constructs a correlation model between color image factors and comprehensive color image. The basic color samples of small space and color images are evaluated by semantic differential method (SD method), color image factors are selected via dimension reduction in FA, factor score function is established, and by combining the entropy weight method to determine each factor weights then the comprehensive color image score is calculated finally. The best fitting function between color image factors and comprehensive color image is obtained by GEP algorithm, which can predict the users’ color image values. A color image evaluation system for small space is developed based on this model. The color evaluation of a control room on AC frequency conversion rig is taken as an example, verifying the effectiveness of the proposed method. It also can assist the designers in other color designs and provide a fast evaluation tool for testing users’ color image.

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