Journal of Intelligent & Fuzzy Systems - Volume 37, issue 4

Authors: Yang, Yanguo | Yu, Jiaqi | Fu, Yubin | Hu, Jiangtao

Article Type: Research Article

Abstract: As there are many uncertain factors in the geological hazard risk, great challenges are brought to the comprehensive evaluation of it. In order to improve the comprehensiveness and accuracy of geological hazard risk assessment, a cloud fuzzy clustering algorithm is constructed in this paper, which can effectively estimate and evaluate uncertain variables. The weight value of the risk cloud droplets is calculated as the input. By setting up clustering conditions and function output conditions, the cluster weights of the inputs which meet requirements can be obtained by multiple clustering iterations. Through the introduction of time parameters, the influence of time …factors on data importance and the risk severity of geological disaster emergencies are fully considered. The experimental results show that the calculated risk degree cluster weights are less than 1, which verifies the feasibility and practicability of the algorithm. The research in this paper shows that the clustering dynamic assessment of geological hazards can help to improve the accuracy of risk assessment and provide reference and help for the prevention and control of regional geological hazards. Show more

Keywords: Fuzzy, clustering algorithm, geological hazards

DOI: 10.3233/JIFS-179311

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4763-4770, 2019

Authors: Guo, Xiaoyu | Zhou, Jing | Wang, Xi

Article Type: Research Article

Abstract: The efficiency of the supply chain of pig breeding in China is low due to the structure of scattering raising-households and the competition among the enterprises within the supply chain is also fierce. Faced with the uncertainty of the market environment and the complexity of the decision-making environment, how to choose the competitive strategy and competition mode for pig breeding enterprises and determine the optimal sales price and sales volume is the key problem to be solved by enterprises in the supply chain management. Based on this, this paper constructs a model of competition between two manufacturers (large farmers) and …two retailers (pork wholesalers) in the pig breeding industry under fuzzy environment. Under the three modes of Cournot competition, Collusion competition and Stackelberg competition, the competition model between two retailers is constructed in turn, and the optimal strategy of each manufacturer and retailer is obtained. Finally, the mental state index is introduced to describe the decision maker’s attitude or preference to the risk, which can make the model more reasonable. The result shows that the change of the mental state index will not only influence the optimal solution, but also affect the final decision result. Show more

Keywords: Game theory, supply chain, Cournot competition, stackelberg competition, fuzzy number

DOI: 10.3233/JIFS-179312

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4771-4778, 2019

Authors: Cui, Ranran

Article Type: Research Article

Abstract: We shall consider intelligent homological dimensions of 0-direct union of finite Rees matrix semigroups. First we give some characterizations of Rees matrix semigroup algebras. Then if K is a ring and S has a Rees matrix ideal M, we give the bounds of r.gl.dim K[S] in terms of r.gl.dim K  [T i ] and r.gl.dim K[S/M]. The bounds for r.gl.dim K[S] are given, supposing that the finite monoid S is a 0-direct union of some finite Rees matrix semigroups which are in forms of S i  = M (T i  ; I i  ; Λ i  ; P i ). …In addition, it is determined that K[S] has finite homological dimension if and only if each T i has finite homological dimension. Show more

Keywords: Homological dimension, *-ideal chain, primitively decomposable abundant semigroups, inverse semigroup, intelligent

DOI: 10.3233/JIFS-179313

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4779-4783, 2019

Authors: Wu, Yongfen

Article Type: Research Article

Abstract: This paper reprocesses the information of the boundary intelligent contour so as to effectively extract the codes of image contour features. The algorithm based on the coordinates of contour extracted through the level set evolution algorithm is used to obtain several 2D contour matrixes with the same size after repeated conversions. Moreover, the matrixes are diagonally, column-wise and horizontally coded to obtain new coded features. The anti-interference analysis of algorithm indicates that the algorithm of extracting feature code has variable and flexible extraction schemes and high stability. Distinguishable information can be obtained in similar images more easily. In order to …prove the validity of the proposed algorithm, feature code exaction algorithm is used to facial expression recognition, and a facial expression recognition model on the basis of facial part contour code exaction is established. According to the experimental results, this facial expression recognition system can eliminate the interference with recognition resulted from the similarity of samples. The comprehensive recognition rate of facial expression is up to 97.20%. Show more

Keywords: Image contour, feature extraction, feature code, image recognition, intelligent

DOI: 10.3233/JIFS-179314

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4785-4795, 2019

Authors: Shen, Chen | Lin, Hongfei | Hao, Huihui | Yang, Zhihao | Wang, Jian | Zhang, Shaowu

Article Type: Research Article

Abstract: With the rapid development of clinical and laboratory medicine, the field of bioinformatics boasts of extensive clinical records and research literature. Retrieving effective information from this huge data has become a challenging task. Hence, Intelligent text summarization, which enables users to find and understand relevant source texts more quickly and effortlessly, becomes a very significant and valuable field of research. In this study, we propose an improved TextRank algorithm with weight calculation based on sentence graph to solve this problem. For the experimental dataset obtained from Pubmed, we represent terms as vectors by using Skip-gram model. We design three methods …which utilize word embeddings to calculate weights between sentences. Then we build an undirected graph with sentences as nodes. At last, we use the improved TextRank algorithm to calculate the importance of sentences and further generated summarizations base on its ranking. The experimental results and analysis on the datasets demonstrate the effectiveness of the proposed model. Show more

Keywords: Intelligent, text summarization, graph-based ranking, similarity calculation

DOI: 10.3233/JIFS-179315

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4797-4802, 2019

Authors: Pang, Hui | Dong, Shaohua | Zhang, Xinwei

Article Type: Research Article

Abstract: In this paper, under the circumstance of uncertain customer demand, the enterprises on the same node in multiple supply chains conduct horizontal inventory coordination according to their own inventory and demand. Based on the combination of horizontal inventory replenishment and vertical normal replenishment, the related mathematical model has been established. By studying the inventory strategy in the decentralized and centralized decision-making, the dual marginalization effects are found in the network system composed of multiple supply chain. So the revenue sharing contract is introduced to solve this problem. It has been found in the study that after adopting the horizontal inventory …coordination mechanism of the supply chain, the profit of the members in the supply chain system and the overall profit of the system are both higher than those which didn’t adopt the mechanism. The improved multi-objective genetic algorithm is used to calculate and verify the problem. In particular, after the revenue sharing contract is adopted, the profits are further enhanced. Show more

Keywords: Inventory coordination, economic order quantity, inventory strategy, revenue sharing, multi-objective genetic algorithm

DOI: 10.3233/JIFS-179316

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4803-4810, 2019

Authors: Luo, Junhui | Liu, Xianlin | Mi, Decai | Chen, Deqiang | He, Zhifen | Xu, Longwang

Article Type: Research Article

Abstract: In Guangxi marine soft foundation of a highway, the research of the intelligent dynamic response of marine roadbeds under traffic loading is carried out. To describe the interaction characteristics of vehicles and soft marine foundation, fine-analyzing the mechanical mechanism of various kinds of damage in early stage and the key factors affecting on the car, it need step up pavement coupling. Accordingly, it was based on the assumption of rigid pavement based on the Lagrange method, meet the viscoelastic foundation of the infinite beam, using sine wave road model of MW. Sayers vehicle road coupling system is used to calculate …and analyze the time history curve of traffic load. Then, plugged the loads into that the finite element, the initial dynamic stress and the counting of the influence of marine soft foundation depth was obtained under traffic loading. The results show that the vehicle road coupling system based on the balance mechanics method is effective. It can be extended to consider the stress of traffic loads and ocean soft foundation, and calculate the depth, considering the viscoelastic boundary. It effectively predicts the stress of marine soft soil foundation, and has important guiding significance for theoretical research and engineering practice. Show more

Keywords: Marine soft, traffic load, pavement coupling, finite element, viscoelastic boundary, intelligent

DOI: 10.3233/JIFS-179317

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4811-4818, 2019

Authors: Liu, Lindong | Dai, Jingwen | Yang, Junwei | Jin, Miao | Jiang, Wei | Lu, Xingyu

Article Type: Research Article

Abstract: The occupational health and safety problems caused by indoor dust and toxic gases in industrial plants are becoming increasingly serious. Vertical push-pull ventilation can effectively control dust and toxic gases and avoid indoor environmental pollution. The velocity of the air supply hood and exhaust hood in the push-pull ventilation intelligent device directly affects the control effect of the dust and toxic gases. However, no scholar has given a reasonable ratio of the air supply and exhaust velocity of the vertical push-pull ventilation device. Therefore, this paper uses the combination of Fluent numerical simulation technology and smoke visualization experiment to explore …the best ratio of the air supply and exhaust velocity in the push-pull ventilation flow field. The research shows that the traces of the wind flow obtained by numerical analysis under different k which is the ratio of the air supply and exhaust velocity is consistent with the traces of visualized smoke in the actual experiment; The optimal ratio of air supply and exhaust is k  = 1.75, which can effectively guarantee the indoor environment, occupational health and work efficiency of the operators. Show more

Keywords: Dust and toxic gases, push-pull ventilation, ratio of the air supply, exhaust velocity, smoke visualization, intelligent

DOI: 10.3233/JIFS-179318

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4819-4826, 2019

Authors: Duan, Xiongying | Zhang, Fan | Liao, Minfu | Zou, Jiyan | Lv, Yang

Article Type: Research Article

Abstract: Controlled switching strategy can reduce overvoltages due to UHV transmission line closing. However, the traditional method is difficult to determine the quantitative relationship between the closing performance of circuit breakers and the risk of failure of transmission lines. Based on the risk of failure data calculated by the statistical method, an adaptive network-based fuzzy inference system (ANFIS) model for forecasting risk of failure that occurs during the closing of transmission lines is presented. An ANFIS model is employed to map the closing performance of circuit breakers and the risk of failure of the UHV transmission line. The model is based …on a system of fuzzy-rules written on the basis of previous results, the knowledge and experience. The fuzzication of input variables is carried out using fuzzy sets with the Gauss membership functions. “Grid partition” was used to generate the fuzzy inference system, and a hybrid learning rule was used to optimize the fuzzy system parameters. After the appropriate model is established through training and checking, it can forecast the risk of failure in different closing performance of circuit breakers. Then, it is easy to analyze the closing performance of circuit breakers in different risk of failure requirements. Show more

Keywords: ANFIS, closing performance, ultra-high-voltage, controlled switching, risk of failure

DOI: 10.3233/JIFS-179319

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4827-4836, 2019

Authors: Gan, Haiqing | Zheng, Chuiyong | Cui, Hantao

Article Type: Research Article

Abstract:  In this paper, in the so-called centralized charging and unified distribution mode, a two-stage optimization model is proposed for capacity planning and ordered discharging strategies of centralized charging stations considering the peak-shaving effects. Firstly, the operating states of battery pack are analyzed at each moment by combining with distribution modes, then the first stage planning is processed, that is, by taking the numbers of battery pack and generators as the control variables, the mathematical model aiming at minimizing the construction cost of centralized charging stations can be solved by Simulated Annealing Particle Swarm Optimization (SAPSO). Next, in the second stage …planning, in order to maximize the peaking effect of the centralized charging station, the cost function aiming at minimizing load variance is proposed, and the discharge power of each time can be obtained by using yalmip toolbox. Finally, simulation results are provided to verify the effectiveness and usefulness of the proposed optimization model. Show more

Keywords: Two-stage optimization model, centralized charging station, ordered discharge strategy, SAPSO algorithm

DOI: 10.3233/JIFS-179321

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4837-4846, 2019