Journal of Intelligent & Fuzzy Systems - Volume 38, issue 4

Authors: Wang, Zhe | Zhu, Hong

Article Type: Research Article

Abstract: In order to achieve the improvement and optimization of e-commerce logistics, a fuzzy algorithm was built to optimize the e-commerce logistics in the marine economy. Through the construction of the fuzzy algorithm, a comparative analysis was made on the effects of logistics before the optimization of marine e-commerce, such as customer satisfaction, product arrival rate on time, logistics cost, number of routes, safety rate, work efficiency, and other aspects. The research shows that the fuzzy algorithm has a better performance in logistics cost than before. After optimization, the monthly mileage of logistics has also been significantly reduced, and the economic …benefit is very significant. The algorithm in this paper has an excellent effect in customer satisfaction and product arrival rate on time, which has obvious improvement effect on the logistics network. The improvement of the customer satisfaction is of great value and significance to the follow-up development of marine e-commerce. The improvement and optimization of logistics path based on fuzzy algorithm has reference value for the development of logistics in other fields. Based on the fuzzy algorithm, the function of the algorithm is studied by analyzing the logistics optimization of marine e-commerce. The fuzzy algorithm used shows a comprehensive and excellent result in improving the marine logistics situation, and shows that the optimization and improvement of the algorithm is a process that needs to be improved in many ways. The research greatly improves the understanding of the fuzzy algorithm and the e-commerce logistics in the marine economy environment. Show more

Keywords: Fuzzy algorithm, marine economy, e-commerce logistics optimization

DOI: 10.3233/JIFS-179604

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3813-3821, 2020

Authors: Lyu, Yuhong | Li, Xiaoqian | Wang, Xuemei | Zhao, Wen | Cui, Xiangyi | Yue, Changwu

Article Type: Research Article

Abstract: This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219321 .

DOI: 10.3233/JIFS-179605

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3823-3829, 2020

Authors: Zhu, Wenjun | Shi, Huisheng

Article Type: Research Article

Abstract: With the wide application of fuzzy mathematics in various fields of life, fuzzy mathematics has shown its strong vitality in many disciplines, such as civil architecture, environmental protection, medical science, operations management, chemical industry and so on. With the increasing depth of research issues, various disciplines are also constantly intersecting. Fuzzy mathematics is gradually being combined with other analytical methods. The purpose of this paper is to discuss the application of fuzzy mathematics in cartography. Through the quota selection model and the structure selection model, the membership function, the equal ratio sequence method, and other fuzzy mathematics methods are applied …to the river map making. Through the above methods, it is concluded that they can solve many kinds of problems, including the study of the geographical distribution of cartographic objects, cartographic selection, mutual relations, and evaluation and prediction models. Therefore, it can be concluded that the concept of fuzzy mathematics is applied to cartographic generalization. Fuzzy mathematics can deal with this kind of fuzziness better, which makes cartographic generalization possible to use more map information. It also provides a new means for the study of cartographic generalization. At the same time, it also provides a new research way for map database and automatic mapping. The accuracy of the experimental method in this paper is 5% higher than that of traditional mathematical cartography; it tends to restore the truth. Show more

Keywords: Fuzzy mathematics, mapping, equal ratio series, comprehensive evaluation

DOI: 10.3233/JIFS-179606

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3831-3840, 2020

Authors: Feng, Yanping

Article Type: Research Article

Abstract: It is a common disease of abnormal early pregnancy in obstetrics and gynecology. Inside them, abortion and hydatidiform mole are two common types, which seriously threaten the life safety of pregnant women. To evaluate the diagnostic value of transvaginal ultrasound and serum-HCG in hydatidiform mole and missed abortion. This article introduces the application of transvaginal ultrasound in disease diagnosis. An edge detection algorithm based on multiplicative gradient was proposed: normal pregnant women and abnormal pregnant women were selected as the research objects. According to the pathological examination results of abnormal pregnancy, all pregnant women were divided into two groups: hydatidiform …mole group and abortion group. The level of serum β -HCG was measured and its diagnostic value was analyzed. Transvaginal ultrasound combined with serum beta-hcg confirmed the diagnosis of β -HCG. Show more

Keywords: Vaginal ultrasound, hydatidiform mole, missed abortion, edge detection algorithm, multiplicative gradient

DOI: 10.3233/JIFS-179607

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3841-3847, 2020

Authors: Xu, Hui | Li, Yuanhai | Zhang, Jingjun | Cheng, Liang | Pan, Song

Article Type: Research Article

Abstract: The traditional epidural anesthesia often relies on blind touch method, which has high technical requirements and low efficiency for doctors. But the ultrasonic image localization method also affects the doctor’s use because of the insufficient definition, the big spot noise and so on. Based on this, a new lumbar ultrasound processing system is proposed. Anisotropic diffusion filter can enhance contrast and make image smoother. The new adaptive threshold binarization algorithm can not only remove speckle noise, but also get clear ultrasound image. The template matching algorithm is used to locate the epidural anesthesia automatically. Through several ultrasound images were examined, …The success rate was 98.12%. This technology was used in the control experiment of obese patients, which showed that this technology can better solve the problem of low epidural anesthesia operation. Show more

Keywords: Ultrasound image, epidural anesthesia, ultrasound location guidance

DOI: 10.3233/JIFS-179608

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3849-3857, 2020

Authors: Zhang, Yihong

Article Type: Research Article

Abstract: Pathological diagnosis is the most common and reliable method of cancer diagnosis, but the technology of pathological diagnosis is relatively backward. It is an urgent problem to identify and classify the pathological pictures of cancer cells. Based on this, the digital image processing and recognition technology are analyzed for the classification and recognition of hydrothorax cancer cells. There is a big difference in the morphology of pleural effusion cancer cells, and uncertainty, so the edge detection algorithm is improved, with the simulated edge detection method used to extract information. After image segmentation, feature extraction is of vital importance for cell …image classification. A method of block statistics based on Gabor coefficient is proposed. Firstly, the cell image is filtered by multi-scale and multi-directional filtering, then the average and variance are calculated, and the image is divided into several blocks to solve the problem of large amount of data. Finally, BP neural network is established to input the morphological characteristics of hydrothorax cells, and the results are classified directly. After the experiment, the proposed classification method can improve the classification effectiveness; the design model can accurately identify the breast water cancer cells, and can be effectively applied to the early diagnosis of breast water cancer cells. Show more

Keywords: Hydrothorax cancer cell, image segmentation, image recognition, feature extraction

DOI: 10.3233/JIFS-179609

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3859-3866, 2020

Authors: Liu, Xiaopei | Teng, Jianfu

Article Type: Research Article

Abstract: In China, moyamoya disease is one of the main causes of stroke events in children and adults. Early diagnosis and early treatment can prevent irreversible damage to nerve function and greatly improve the quality of life of patients. Based on the improved sparse Bayesian low-dose CT image blind restoration algorithm, moyamoya disease diagnosis and treatment has important application value guidance and evaluation Cheng, through the retrospective analysis of the clinical characteristics, imaging characteristics and treatment of 105 patients with moyamoya disease diagnosed by Blind image restoration algorithm based on improved sparse Bayesian low dose CT from April 2012 to November …2015 in a hospital in Hefei City, we think that CT angiography has important application value in the diagnosis and treatment of moyamoya disease, and we can draw a conclusion. Among these 105 patients, women are the majority. The ratio of male to female was 1:1.188, and the peak period was 30– 40 years old. There were 41 cases of ischemic stroke and 64 cases of hemorrhagic stroke. 29 patients underwent STA-MCA bypass, temporal muscle compression and dural reversal. Blind image restoration algorithm based on improved sparse Bayesian low dose CT was reexamined. The results of Blind image restoration algorithm based on improved sparse Bayesian low dose CT and DSA were the same. It can be seen that Blind image restoration algorithm based on improved sparse Bayesian low dose CT is a reliable method to diagnose moyamoya disease, which can be used as a preoperative guidance and postoperative evaluation of bypass vessel patency and collateral circulation formation. Show more

Keywords: CT angiography, moyamoya disease, artery bypass

DOI: 10.3233/JIFS-179610

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3867-3875, 2020

Authors: Liu, Na

Article Type: Research Article

Abstract: Medical image segmentation is an important step of medical image processing, which divides medical image into thousands of regions and extracts the regions of tissues and organs of interest. The accuracy of segmentation is very important for the follow-up processing of medical image and doctors’ judgment of the real situation of diseases. Medical image segmentation is a classic problem in the field of image segmentation. 3D image reconstruction technology is to obtain 3D structure information from 2D images of objects, to provide users with realistic 3D graphics, and to restore the prototype of objects, so that users can observe and …analyze from multiple perspectives, which greatly improves the accuracy of measurement and the scientific accuracy of medical diagnosis, and plays a very important role in assisting doctors in clinical diagnosis. Based on the three-dimensional image model of MRI, the load variation of the internal oblique muscle can be applied to the finite element analysis of the near end of the patellar tendon. Show more

Keywords: Three-dimensional reconstruction technology, medical image, MRI

DOI: 10.3233/JIFS-179611

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3877-3883, 2020

Authors: Nong, Zhonghai

Article Type: Research Article

Abstract: Image recognitionan is an important part of pattern recognition, It has been widely used in modern production and life. Using computer technology and modern information processing technology to complete human visual cognition and understanding. Thus, It have become a hot topic about how to study image recognition based on medical color feature extraction. This study firstly studied the existing literature, explored and analyzed relevant theories and technologies, and studied several algorithms related to current image recognition. Then the image recognition algorithm based on wavelet moment and support vector machine is combined with the artificial intelligence technology based on image feature …extraction theory to establish the color medical image recognition algorithm based on wavelet moment and support vector machine. In order to verify the feasibility and advancedness of the new algorithm, practical experiments are carried out, and the experimental results are compared and analyzed by statistical method. The concrete chart proves the correctness of the conclusion. The final of the new algorithm is proved to be successful. Show more

Keywords: Feature extraction, image recognition, color characteristics, medical image database

DOI: 10.3233/JIFS-179612

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3885-3891, 2020

Authors: Wang, Kailing | Yu, Qinglian

Article Type: Research Article

Abstract: Three-dimensional reconstruction technology can display the three-dimensional graphical data of medical images to diagnostic personnel, so as to facilitate multi-dimensional and multi-level observation of patient data, and assist doctors in qualitative and quantitative analysis of pathological tissue. A surface reconstruction algorithm for three-dimensional medical images based on segmentation is proposed. It combines image segmentation with MC (marching cubes) algorithm organically, which can be based on the characteristics of different medical images. An appropriate segmentation method is used to segment different tissues accurately, and the result of segmentation is used to extract the isosurface accurately, which avoids the limitation that MC …is only suitable for threshold segmentation. After the medical image is segmented by combining threshold and region growth, the segmentation results are input as the reconstructed data, and the improved algorithm of three-dimensional reconstruction is realized. The medical image is rendered on three-dimensional surface, and the debugging results of the software are displayed. At the same time, a cube detection method based on region growing is adopted to improve the efficiency of surface tracking. Experiments show that this algorithm can improve the reconstruction speed and display effect. Show more

Keywords: Three dimensional reconstruction, image processing, segmentation

DOI: 10.3233/JIFS-179613

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 3893-3902, 2020