Abstract: In this paper, we investigate the multiple attribute decision making problems with the intuitionistic trapezoidal fuzzy information. Some operational laws of intuitionistic trapezoidal fuzzy numbers are introduced. Then, we proposed the some Einstein information aggregating operators with intuitionistic trapezoidal fuzzy information including intuitionistic trapezoidal fuzzy Einstein weighted averaging (ITFEWA) operator, intuitionistic trapezoidal fuzzy Einstein ordered weighted averaging (ITFEOWA) operator and intuitionistic trapezoidal fuzzy Einstein hybrid aggregation (ITFEHA) operator, are proposed. An approach to multiple attribute decision making with intuitionistic trapezoidal fuzzy information is developed based on the ITFEWA operator. Finally, an illustrative example for evaluating the teaching effect of the…college English public speaking course under the flipped classroom hybrid teaching mode is given to verify the developed approach.
Show more
Keywords: Multiple attribute decision making, intuitionistic trapezoidal fuzzy numbers, intuitionistic trapezoidal fuzzy einstein weighted averaging (ITFEWA) operator, intuitionistic trapezoidal fuzzy einstein ordered weighted averaging (ITFEOWA) operator, intuitionistic trapezoidal fuzzy einstein hybrid aggregation (ITFEHA) operator, teaching effect, college english public speaking course
Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTION”. The retraction notice is available at http://doi.org/10.3233/KES-210080.
Keywords: Multiple attribute decision making, intuitionistic trapezoidal fuzzy numbers, intuitionistic trapezoidal fuzzy Einstein weighted averaging (ITFEWA) operator, intuitionistic trapezoidal fuzzy Einstein ordered weighted averaging (ITFEOWA) operator, intuitionistic trapezoidal fuzzy Einstein hybrid aggregation (ITFEHA) operator, teaching effect, college English public speaking course
Abstract: To solve the problem that the presence of foreign matters in cosmetics will affect the safety and health of consumers and is not conducive to the development of the cosmetics industry, an intelligent identification system for foreign matters in cosmetics is established using the improved BP algorithm. Scan cosmetic samples to identify foreign matters and extract foreign matter features, so as to achieve non-destructive detection of foreign matters in cosmetics. Comparing the traditional BP algorithm, Faster R-CNN algorithm and the improved BP algorithm, the results show that the convergence time of the improved BP algorithm is 60 s and 30…s earlier than that of the traditional BP algorithm and Faster R-CNN algorithm respectively; Whether there is noise or not, the recognition rate of the improved BP algorithm is always higher than that of the traditional BP algorithm and Faster R-CNN algorithm. The accuracy rate of the improved BP algorithm is between 0.88 and 0.96, the accuracy rate of the traditional BP algorithm is between 0.57 and 0.75, and the accuracy rate of the Faster R-CNN algorithm is between 0.76 and 0.81. This shows that the improved BP algorithm can realize the nondestructive detection of foreign matters in cosmetics, ensure a high accuracy and fast speed, and provide consumers with a sense of safe use of cosmetics, it can also improve consumers’ satisfaction with the use of cosmetic products.
Show more
Abstract: Current methods lack generality and self-adaptation, resulting in large difference in throughput between networks, high packet loss rate, and long page response time. To solve these problems, an online resource sharing system design method is proposed based on fuzzy control for enterprise networks. A four-layer online resource balanced sharing system is designed, including three parts: management plane, control plane and forwarding plane. The fuzzy control method is adopted to design an online resource balanced sharing system controller for enterprise networks, and an adaptive method is used to adjust the variable parameters of the fuzzy controller and calculate the controlled quantity…of system server. Through the obtained controlled quantity, the amount of requests should be distributed to each server is calculated. With these requests as the standard, online resources are modified to achieve the balanced sharing of online resources of enterprise networks. Experimental results show that the proposed method can effectively reduce the packet loss rate, reduce the load difference between networks, and better realize the balanced sharing of resources between networks in the system.
Show more
Keywords: Enterprise networks, online resources, balancing, sharing, fuzzy control
Abstract: Due to the poor image quality and complex enhancement process in the current image contrast fuzzy enhancement algorithm, a multilevel image contrast fuzzy enhancement algorithm in multimedia network based on homogeneity measurement was put forward. This algorithm used the minimum fuzzy entropy to detect noise in multilevel image and remove noise through improved Shannon entropy, so as to achieve restoration of multilevel image. According to the membership degree of restored image, the local feature of image was determined to realize and the homogeneity expression of image. Then, the nonlinear transformation was introduced to optimize the image homogeneity. Thus, the multilevel…image contrast fuzzy enhancement in multimedia network was realized. Experimental results show that the proposed algorithm can effectively guarantee the image quality after the contrast enhancement and reduce the computational complexity.
Show more
Abstract: Path planning is an important part of logistics management and an important part of intelligent transportation system. The shortest path problem in graph theory is the theoretical basis of path planning. On this basis, this paper studies the application of graph theory in logistics management and transportation linkage and its computer-aided model design. In order to give full play to the advantages of the optimized road network model, this paper adopts the matching path planning algorithm and control strategy. The optimized road network model puts forward a partition method based on data quantity and connectivity principle and realizes the equalization…of partition data quantity. Compared with the general road network model, the established road network partition is more reasonable and more in line with the actual requirements of the path planning algorithm. Through the research in this paper, it provides a reasonable and effective solution for practical application, which is innovative and practical.
Show more
Abstract: The mechanical properties of the ultra-great workability concrete (UGWC ) are deeply related to the weights of components, curing period and condition, and occasionally property of admixtures. This study aimed to appraise the usefulness of the adaptive neuro-fuzzy inference system (ANFIS) technique for forecasting the compressive strength of UGWC and enhancing the accuracy of the literature. To outline the forecasting process, two improved ANFIS were suggested, in which determinative variables of them were determined by metaheuristic algorithms named imperialist competitive algorithm (ICA) and multi-verse optimizer (MVO) algorithms. For this purpose, 170 data samples were collected from published literature separated accidentally…for the train and test phase. The calculated performance criteria for proposed ANFIS models demonstrate that both ICA-ANFIS and MVO-ANFIS models can result in justifiable workability for f c of the UGWC prediction procedure. The MVO-ANFIS model could outperform ICA-ANFIS regarding all criteria. For instance, the value of R 2 and VAF for the ICA-ANFIS model are roughly smaller than the MVO-ANFIS model, at 0.9012 and 90% in the training dataset and 0.8973 and 89% in the testing stage, respectively. While the best values of criteria have belonged to the MVO-ANFIS model, with R 2 at 0.937 and 0.944 for the train and test phases, respectively. Overall, the hybrid MVO-ANFIS model can obtain higher workability than ICA-ANFIS and literature (R2 at 0.801), where causes are recognized as the proposed model.
Show more
Abstract: With the increasing global disaster risks, constructing more inclusive, flexible, and resilient communities has become crucial for effectively carrying out disaster prevention, mitigation, and relief work. However, existing research on community resilience mostly focuses on the selection of key factors and the assessment of community resilience, lacking in-depth exploration of the interactions between factors and simulation studies of key paths. Therefore, this paper applies the Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy DEMATEL) method to select important factors of community resilience. Based on this, the maximum average difference entropy method is used to analyze the relationships and influence mechanisms among…different factors, thus identifying the key factors and key paths affecting community resilience. The Fuzzy Cognitive Map (FCM) is then used to simulate the paths. The study finds that factors of community resilience can be categorized as input, intermediary, and output types, and further analysis of their influence mechanisms reveals four key paths and four key factors. Through pathway simulation, different improvement states of community resilience are observed when triggering the input-type factors of the key paths. Therefore, under limited resources, a phased and systematic approach to enhancing community resilience should be adopted. The contribution of this study lies in providing a comprehensive analysis of factors and pathway selection methods, and through pathway simulation, it offers a scientific basis and decision support for improving and constructing community resilience in practice.
Show more
Keywords: Fuzzy cognitive map, fuzzy DEMATEL, maximum average difference entropy method, community resilience, simulation analysis
Abstract: In spite of a large volume of segmentation algorithms, it is difficult to coherently segment a series of images from the same scene. Semantic segmentation might be a solution, but it is sophisticated with heavy computing cost. Many contour detectors could locate objects accurately, but the contours are broken, and Watershed algorithm could find the subtle ridges that could connect the broken contours, but often fails for over-segmentation. We try to combine these two methods to decompose images into meaningful regions, and propose an index S-measure to measure the segmentation consistency between images. Two steps are involved: detect edges by…contour detector, and fuse the broken edges by Watershed algorithm. To fuse the broken edges, two ways are proposed, dilating edges with same template and with adaptive width templates. Experiments illustrate that the decomposing is fast, effectively, meaningful, robustly, and coherently, and the segmentation is consistent between images even with some transformations.
Show more
Abstract: Knowledge of the pressure distribution around human thorax in blast help to understand the injury mechanisms and their assessment. To investigate the transmission mechanism of the pressure on human thorax in blast, a three dimension surface model of human thorax was constructed in this work. To increase the precious of this model, tetrahedron element division method was applied to transfer the rough 3D surface model to hexahedral elements model. Using this model, the high pressure duration was computationally solved using numerical simulation of the hexahedral elements. Simulation results showed that the apex of lungs was subjected to the largest stress…in a blast. In order to verify this result, an animal experiment was performed on a dog. The animal experimental results was shown to have a same variation tendency with the calculation results based on our numerical model of human thorax, which made this model reliable for the blast injury research.
Show more
Keywords: Finite element model, human thorax, blast injury, numerical simulation