Journal of Intelligent & Fuzzy Systems - Volume 42, issue 4

Authors: Lu, Fengli | Fu, Chengcai | Zhang, Guoying | Shi, Jie

Article Type: Research Article

Abstract: Accurate segmentation of fractures in coal rock CT images is important for the development of coalbed methane. However, due to the large variation of fracture scale and the similarity of gray values between weak fractures and the surrounding matrix, it remains a challenging task. And there is no published dataset of coal rock, which make the task even harder. In this paper, a novel adaptive multi-scale feature fusion method based on U-net (AMSFF-U-net) is proposed for fracture segmentation in coal rock CT images. Specifically, encoder and decoder path consist of residual blocks (ReBlock), respectively. The attention skip concatenation (ASC) module …is proposed to capture more representative and distinguishing features by combining the high-level and low-level features of adjacent layers. The adaptive multi-scale feature fusion (AMSFF) module is presented to adaptively fuse different scale feature maps of encoder path; it can effectively capture rich multi-scale features. In response to the lack of coal rock fractures training data, we applied a set of comprehensive data augmentation operations to increase the diversity of training samples. These extensive experiments are conducted via seven state-of-the-art methods (i.e., FCEM, U-net, Res-Unet, Unet++, MSN-Net, WRAU-Net and ours). The experiment results demonstrate that the proposed AMSFF-U-net can achieve better segmentation performance in our works, particularly for weak fractures and tiny scale fractures. Show more

Keywords: Multi-scale feature fusion, U-net, fracture segmentation in coal rock CT image, dilation convolutions, residual U-net

DOI: 10.3233/JIFS-211968

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3761-3774, 2022

Authors: Liu, Yicong | Chu, Junfeng | Wang, Yanyan | Wang, Yingming

Article Type: Research Article

Abstract: To obtain the suitable alternative(s) for the organization, this paper proposes a more practical method to solve the decision-making problems in society. That is combined with the TODIM (TOmada de decisão interativa multicrit e ´ rio). The maximizing dominance degree model to reach consensus is proposed with two following components: (1) constructing the complete trust relationships network; (2) the maximizing dominance degree feedback mechanism to reach group consensus. Therefore, firstly owing to the complexity of the trust relationships network, judging the direct and indirect trust propagation paths among the decision makers (DMs) to construct …the complete trust relationships network and identifying the highest value of Trust Score (TS) as the leader is possible. Then identify the inconsistent DM based on the established consensus index. During the feedback process, inconsistent DMs adopt the feedback mechanism based on the dominance degree of the leader until the group consensus is reached. Later, the corresponding ranking result is calculated by the TODIM method. Finally, a numerical example is applied to illustrate the effectiveness and feasibility of the optimal model. Show more

Keywords: Trust relationship, leader, TODIM, dominance degree, deviation degree

DOI: 10.3233/JIFS-211979

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3775-3788, 2022

Authors: Zhang, Huaige | Bai, Xuyang | Hong, Xianpei

Article Type: Research Article

Abstract: With the rise in the global aging population, selecting sites for nursing homes for old-age care has become critical and challenging. The site selection of a nursing home can be considered as a multicriteria decision-making. Because of the increasing complexity and uncertainty of the socioeconomic environment, standard assessments cannot handle this multicriteria decision-making. Therefore, this study provides a multi-criteria decision-making method based on Interval 2 Fuzzy Sets (IT2FS). It obtains comprehensive weights through the AHP method and the CRITIC method. Compared with the traditional TOPSIS, the improved TOPSIS method reduces the difference between the evaluation results. This method is suitable …for the site selection of nursing homes in a certain area. We use the data of nursing homes to show the application of these methods. By comparing with traditional methods, we find that the integrated approach can consider more uncertainties. Show more

Keywords: Multicriteria decision-making, nursing home, site selection, interval type-2 fuzzy sets, AHP method, improved TOPSIS method

DOI: 10.3233/JIFS-212010

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3789-3804, 2022

Authors: Huang, Xin | Chen, Hong-zhuan

Article Type: Research Article

Abstract: Combine complex equipment collaborative development in military-civilian integration context not only fulfils actual development requirement, but also beneficial to the national economy. Design procedure as first stage of complex equipment military-civilian collaborative development process, select suitable design supplier is significant to whole development process of complex equipment. In order to select suitable design supplier for complex equipment, two aspects done in this paper. One is comprehensive analysis of evaluated influencing factors that affect complex equipment military-civilian collaborative design process, corresponding evaluation indicator constructed and a combination of grey correlation, entropy, DEMATEL (Decision-making Trial and Evaluation Laboratory) and VIKOR analysis theory …to obtain grey entropy-DEMATEL-VIKOR, then the combined method is utilized to acquire matching attributes for followed research content. Meanwhile, satisfaction degree for matching side obtained with the help of information aggregation based on power generalized Heronian mean which on the basis of fuzzy preference information. Then, through constructed matching model, suitable design supplier obtained. Finally, a corresponding illustrative example given. Show more

Keywords: Complex equipment, military-civilian collaborative design, power generalized Heronian mean, matching model, design supplier

DOI: 10.3233/JIFS-212025

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3805-3825, 2022

Authors: Jiang, Bin | Wang, Xinyu | Huang, Li | Xiao, Jian

Article Type: Research Article

Abstract:  Graph Convolutional Networks are able to characterize non-Euclidean spaces effectively compared with traditional Convolutional Neural Networks, which can extract the local features of the point cloud using deep neural networks, but it cannot make full use of the global features of the point cloud for semantic segmentation. To solve this problem, this paper proposes a novel network structure called DeepGCNs-Att that enables deep Graph Convolutional Network to aggregate global context features efficiently. Moreover, to speed up the computation, we add an Attention layer after the Graph Convolutional Network Backbone Block to mutually enhance the connection between the distant points of …the non-Euclidean space. Our model is tested on the standard benchmark S3DIS. By comparing with other deep Graph Convolutional Networks, our DeepGCNs-Att’s mIoU has at least two percent higher than that of all other models and even shows excellent results in space complexity and computational complexity under the same number of Graph Convolutional Network layers. Show more

Keywords: Point cloud processing, semantic segmentation, graph convolutional network, attention module, deep learning

DOI: 10.3233/JIFS-212030

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3827-3836, 2022

Authors: Yan, Bing | Wang, Yanjun | Xia, Wei | Hu, Xiaoxuan | Ma, Huawei | Jin, Peng

Article Type: Research Article

Abstract: Satellite emergency mission scheduling scheme group decision making (SEMSSGDM) is a key part of satellite mission scheduling research. An appropriate evaluation model can provide a dependable and sustainable improvement and guide the functioning of emergency mission scheduling. Consequently, this research is devoted to proposing a novel decision-making method that employs a novel consensus model with hesitant fuzzy 2-tuple linguistic sets (HF2TLSs) to eliminate disagreements among satellite dispatchers and reach consensus in scheme decision-making. Within the novel method, it proposes a distance measurement function based on Hausdorff distance with HF2TLS to gauge the fit and similarity across satellite dispatchers. Additionally, a …consensus reaching process (CRP) is designed to adjust the judgement of satellite dispatchers taking into account the trust degree to improve consensus. Within the selection process, a combination of the particle swarm optimization (PSO) algorithm and the MULTIplicative MOORA (MULTIMOORA) method is applied, where PSO is performed to improve the accuracy of information aggregation, and the MULTIMOORA method is used to develop the robustness of the selection results. Lastly, an applicative example validates the effectiveness of the method based on a mission scheduling intelligent decision simulation system. Show more

Keywords: Satellite emergency mission scheduling scheme group decision-making, hesitant fuzzy 2-tuple linguistic set, consensus reaching processes(CRPs), particle swarm optimization(PSO), MULTIplicative MOORA (MULTIMOORA)

DOI: 10.3233/JIFS-212034

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3837-3853, 2022

Authors: Khababa, Ghizlane | Seghir, Fateh | Bessou, Sadik

Article Type: Research Article

Abstract:  In this paper, we introduce an extended version of artificial bee colony with a local search method (EABC) for solving the QoS uncertainty-aware web service composition (IQSC) problem, where the ambiguity of the QoS properties are represented using the interval-number model. At first, we formulate the addressed problem as an interval constrained single-objective optimization model. Then, we use the skyline operator to prune the redundant and dominated web services from their sets of functionally equivalent ones. Whereas, EABC is employed to solve the IQSC problem in a reduced search space more effectively and more efficiently. For the purpose of validation …of the performance and the efficiency of the proposed approach, we present the experimental comparisons to an existing skyline-based PSO, an efficient discrete gbest-guided artificial bee colony and a recently provided Harris Hawks optimization with an elite evolutionary strategy algorithms on an interval extended version of the public QWS dataset. Show more

Keywords: Web service composition, Quality of Service (QoS), interval number, skyline operator, artificial bee colony

DOI: 10.3233/JIFS-212045

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3855-3870, 2022

Authors: Nguyen, Binh | Le, Binh | Nguyen, Long H.B. | Dinh, Dien

Article Type: Research Article

Abstract:  Word representation plays a vital role in most Natural Language Processing systems, especially for Neural Machine Translation. It tends to capture semantic and similarity between individual words well, but struggle to represent the meaning of phrases or multi-word expressions. In this paper, we investigate a method to generate and use phrase information in a translation model. To generate phrase representations, a Primary Phrase Capsule network is first employed, then iteratively enhancing with a Slot Attention mechanism. Experiments on the IWSLT English to Vietnamese, French, and German datasets show that our proposed method consistently outperforms the baseline Transformer, and attains competitive …results over the scaled Transformer with two times lower parameters. Show more

Keywords: Neural Machine Translation, Phrase Representation, Capsule Network

DOI: 10.3233/JIFS-212101

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3871-3878, 2022

Authors: Varghese, Prathibha | Arockia Selva Saroja, G.

Article Type: Research Article

Abstract: Nature-inspired computing has been a real source of motivation for the development of many meta-heuristic algorithms. The biological optic system can be patterned as a cascade of sub-filters from the photoreceptors over the ganglion cells in the fovea to some simple cells in the visual cortex. This spark has inspired many researchers to examine the biological retina in order to learn more about information processing capabilities. The photoreceptor cones and rods in the human fovea resemble hexagon more than a rectangular structure. However, the hexagonal meshes provide higher packing density, consistent neighborhood connectivity, and better angular correction compared to the …rectilinear square mesh. In this paper, a novel 2-D interpolation hexagonal lattice conversion algorithm has been proposed to develop an efficient hexagonal mesh framework for computer vision applications. The proposed algorithm comprises effective pseudo-hexagonal structures which guarantee to keep align with our human visual system. It provides the hexagonal simulated images to visually verify without using any hexagonal capture or display device. The simulation results manifest that the proposed algorithm achieves a higher Peak Signal-to-Noise Ratio of 98.45 and offers a high-resolution image with a lesser mean square error of 0.59. Show more

Keywords: Computer vision, Nature Inspired Computing, hexagonal image, color image, Human Visual System

DOI: 10.3233/JIFS-212111

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3879-3892, 2022

Authors: Peng, Zhenxing | He, Lina | Xie, Yushi | Song, Wenyan | Liu, Jue | Ming, Xinguo | Goh, Mark

Article Type: Research Article

Abstract: A sustainable supply chain (SSC) is vital for company’s sustainability success, so it is imperative to identify and prioritize SSC’s design requirements (DRs) for better SSC planning. For customer-centric markets, the customer requirements (CRs) need to be integrated into SSC’s DRs. This paper thus proposes a customer-centric approach based on Analytic Network Process (ANP), Quality Function Deployment (QFD), Grey Relational Analysis (GRA), and Pythagorean Fuzzy Set (PFS) to rank SSC’s DRs, considering CRs and information ambiguity. The PFS is combined with ANP, QFD, and GRA to better handle uncertainty in the SSC. The Pythagorean fuzzy ANP is applied to analyze …the correlations among the sustainable CRs and determine the corresponding weights. The sustainable CRs are transformed into the DRs using the Pythagorean fuzzy QFD. The relationships among the resulting DRs are analyzed through Pythagorean fuzzy GRA to prioritize DRs. The approach is validated through a case study. The results obtained in this paper shows that the proposed method is efficient to prioritize DRs of SSC with the consideration of sustainable CRs under uncertain environment. The novelties of proposed method are that it not only offers a customer-oriented SSC planning method through the integration of ANP, QFD and GRA, but also can reflect the uncertain information with a broader membership representation space via PFSs. Based on the proposed method, the decision-maker can conduct comprehensive analysis to prioritize DRs and design appropriate SSC to fulfill CRs under uncertain environment. Show more

Keywords: Sustainable supply chain, design requirements, analytic network process, pythagorean fuzzy set, quality function deployment, grey relational analysis

DOI: 10.3233/JIFS-212131

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3893-3907, 2022