Journal of Intelligent & Fuzzy Systems - Volume 42, issue 3

Authors: Wang, Zhifan | Xin, Tong | Wang, Shidong | Zhang, Haofeng

Article Type: Research Article

Abstract:  The ubiquitous availability of cost-effective cameras has rendered large scale collection of street view data a straightforward endeavour. Yet, the effective use of these data to assist autonomous driving remains a challenge, especially lack of exploration and exploitation of stereo images with abundant perceptible depth. In this paper, we propose a novel Depth-embedded Instance Segmentation Network (DISNet) which can effectively improve the performance of instance segmentation by incorporating the depth information of stereo images. The proposed network takes binocular images as input to observe the displacement of the object and estimate the corresponding depth perception without additional supervisions. Furthermore, we …introduce a new module for computing the depth cost-volume, which can be integrated with the colour cost-volume to jointly capture useful disparities of stereo images. The shared-weights structure of Siamese Network is applied to learn the intrinsic information of stereo images while reducing the computational burden. Extensive experiments have been carried out on publicly available datasets (i.e., Cityscapes and KITTI), and the obtained results clearly demonstrate the superiority in segmenting instances with different depths. Show more

Keywords: Instance segmentation, depth embedding, scene parsing

DOI: 10.3233/JIFS-202230

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1269-1279, 2022

Authors: Kong, Lingtao

Article Type: Research Article

Abstract: The exponential distribution has been widely used in engineering, social and biological sciences. In this paper, we propose a new goodness-of-fit test for fuzzy exponentiality using α -pessimistic value. The test statistics is established based on Kullback-Leibler information. By using Monte Carlo method, we obtain the empirical critical points of the test statistic at four different significant levels. To evaluate the performance of the proposed test, we compare it with four commonly used tests through some simulations. Experimental studies show that the proposed test has higher power than other tests in most cases. In particular, for the uniform and linear …failure rate alternatives, our method has the best performance. A real data example is investigated to show the application of our test. Show more

Keywords: Triangular fuzzy number, α-pessimistic value, power, Kullback-Leibler information

DOI: 10.3233/JIFS-202555

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1281-1288, 2022

Authors: Mirvakili, Saeed | Smarandache, Florentin | Rezaei, Akbar

Article Type: Research Article

Abstract: In this paper, we extend the notion of Hv -semigroups to neutro-Hv -semigroups and anti-Hv -semigroups and investigate many of their properties. We show that these new concepts are different from the classical concept of Hv -semigroups by presenting several examples. In general, the neutro-algebras and anti-algebras are generalizations and alternatives of classical algebras. The goal and benefits of our proposed extension of this study is to explore not only the hyperoperations and axioms that are totally true as in previous algebraic hyperstructures, but also the cases when they have degrees of truth, indeterminacy and falsehood. Therefore, we enlarge the …field of research. Show more

Keywords: Hyperoperation, neutro-hyperoperation, semihypergroup, neutro-semihypergroup, anti-semihypergroup, Hv-semigroup, neutro-Hv-semigroup, anti-Hv-semigroup, neutro-algebra, anti-algebra

DOI: 10.3233/JIFS-202559

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1289-1299, 2022

Authors: Liu, Meng | Wang, Xiaolin | Li, Yupeng

Article Type: Research Article

Abstract: Owing to the heterogeneity and inherent uncertainty of services, the selection of service suppliers is a complicated multi-attribute group decision-making (MAGDM) problem in which fuzzy criteria and stochastic criteria coexist. During the past few decades, many real-world supplier selection problems have been resolved using MAGDM methods. Nevertheless, extant research on supplier selection considers either fuzzy criteria or stochastic criteria, and hence most of these methods cannot address the complex and unstructured nature of contemporary service supplier selection problems. In this study, a novel technique for order preference by similarity to the ideal solution (TOPSIS) approach, integrating both fuzzy criteria and …stochastic criteria, is developed; in this approach, the interval-valued intuitionistic fuzzy (IVIF) cross-entropy for fuzzy criteria and the Euclidean distance for stochastic criteria are used to acquire the rankings of alternatives. Moreover, a sensitivity analysis is conducted for a case study of hoisting service supplier selection, and a comparative analysis with other existing methods is performed to confirm the effectiveness and efficiency of the proposed approach. Show more

Keywords: Service supplier selection, MAGDM, fuzzy criteria, stochastic criteria, TOPSIS

DOI: 10.3233/JIFS-202657

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1301-1315, 2022

Authors: Zhang, Yulong | Zhang, Chaofei | Tan, Jian | Lim, Frank | Duan, Menglan

Article Type: Research Article

Abstract: Deep learning (DL) algorithms, especially the convolutional neural network (CNN), have been proven as a newly developed tool in machinery intelligent diagnosis. However, the current CNN-based fault diagnosis studies usually consider features or images extracted from a single domain as model input. This single domain information may not reflect fault patterns comprehensively, leading to low modeling accuracy and inaccurate diagnostic results. To overcome this limitation, this paper proposes a new CNN-based fault diagnosis approach using image representation considering multi-domain features of vibration signals. First, multi-domain features of vibration signals are extracted. These extracted features are then used to construct a …n  × n matrix, and subsequently to form images by RGB color transformations. This image transformation technique allows for capturing complementary and rich diagnostic information from multiple domains. At last, these images associated with different mechanical defects are fed into a CNN model that is improved based on the classic LeNet-5 CNN architecture for fault diagnosis and identification. Comparative experiments with the traditional feature extraction methods as well as state-of-the-art CNN-based methods are also investigated. Experimental studies on rolling bearings validate the effectiveness and superiorities of the proposed approach. Show more

Keywords: Deep learning (DL), convolutional neural network (CNN), fault diagnosis, feature extraction, multi-domain features

DOI: 10.3233/JIFS-202730

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1317-1329, 2022

Authors: Ma, Hua | Huang, Zhuoxuan | Zhang, Xin | Zhang, Hongyu | Wang, Jianqiang

Article Type: Research Article

Abstract: Recently, the enormous advantages of cloud services make them increasingly appealing to the small and medium-sized enterprises. The growing number of available services makes it challenging to select trustworthy services. Existing approaches focus on user preferences to guide personalized services recommendation for individual users, but lack of the research on trustworthy service recommendation for the small and medium-sized enterprises that represents a group user consisting of multiple individual users. For this type of enterprise, the cloud services recommendation must address the challenges from the diverse client context of individual users, the imprecise quality of experience in an uncertain cloud environment …and the invalid or unsatisfactory recommendations. A client context-aware approach is proposed to recommend trustworthy cloud services for the small and medium-sized enterprises based on non-compensatory multi-criteria decision-making. In it, a type of client context is viewed as an independent evaluation criterion, and the interval neutrosophic numbers are employed to measure the fuzzy trustworthiness of cloud services. Based on the investigated outranking relations of interval neutrosophic numbers, a non-compensatory multi-criteria decision-making procedure via an improved ELECTRE III method is developed to rank candidate services. Experimental results demonstrate that this approach could efficiently produces the accurate ranking results of cloud services and effectively recommend the trustworthy service for small and medium-sized enterprises. Show more

Keywords: Client context, cloud service recommendation, small and medium-sized enterprise, ELECTRE III, interval neutrosophic sets

DOI: 10.3233/JIFS-210192

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1331-1351, 2022

Authors: Mashizi, Iman Khosravi | Kermani, Vahid Momenaei | Shahsavari-Pour, Naser

Article Type: Research Article

Abstract: In this article, scheduling flexible open shops with identical machines in each station is studied. A new mathematical model is offered to describe the overall performance of the system. Since the problem enjoys an NP-hard complexity structure, we used two distinct metaheuristic methods to achieve acceptable solutions for minimizing weighted total completion time as the objective function. The first method is customary memetic algorithm (MA). The second one, MPA, is a modified version of memetic algorithm in which the new permutating operation is replaced with the mutation. Furthermore, some predefined feasible solutions were imposed in the initial population of both …MA and MPA. According to the results, the latter action caused a remarkable improvement in the performance of algorithms. Show more

Keywords: Flexible open shop, mixed integer linear programming, memetic algorithm, permutating operation, taguchi method

DOI: 10.3233/JIFS-210224

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1353-1366, 2022

Authors: Zhang, Huiyuan | Wei, Guiwu | Wei, Cun

Article Type: Research Article

Abstract: Nowadays, how to choose a comfortable and relatively satisfactory residence is one of the multiple attribute group decision making (MAGDM) issues which people are paying more and more attention. However, since the inaccuracy and fuzziness of the information are given by decision makers (DMs) in practical decision-making and psychological factors of DMs should be considered in the decision-making process, this paper presents TOPSIS approach based on cumulative prospect theory (CPT) to deal with the MAGDM issues under the spherical fuzzy environment. Furthermore, considering the objective relationship between the attributes, the combined weights are used to get attribute weights in spherical …fuzzy sets (SFSs). Finally, an example of residential location is introduced to prove the validity of our proposed approach by comparing with spherical fuzzy TOPSIS(SF-TOPSIS) method and spherical fuzzy WASPAS (SF-WASPAS) method. Show more

Keywords: Multiple attribute group decision making (MAGDM), spherical fuzzy sets (SFSs), TOPSIS, cumulative prospect theory (CPT), combined weights, residential location

DOI: 10.3233/JIFS-210267

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1367-1380, 2022

Authors: Mokhtari, Mikaeel | Allahviranloo, Tofigh | Behzadi, Mohammad Hassan | Lotfi, Farhad Hoseinzadeh

Article Type: Research Article

Abstract: The uncertainty is an important attribute about data that can arise from different sources including randomness and fuzziness, therefore in uncertain environments, especially, in modeling, planning, decision-making, and control under uncertainty, most data available contain some degree of fuzziness, randomness, or both, and at the same time, some of this data may be anomalous (outliers). In this regard, the new fuzzy regression approaches by creating a functional relationship between response and explanatory variables can provide efficient tools to explanation, prediction and possibly control of randomness, fuzziness, and outliers in the data obtained from uncertain environments. In the present study, …we propose a new two-stage fuzzy linear regression model based on a new interval type-2 (IT2) fuzzy least absolute deviation (FLAD) method so that regression coefficients and dependent variables are trapezoidal IT2 fuzzy numbers and independent variables are crisp. In the first stage, to estimate the IT2 fuzzy regression coefficients and provide an initial model (by original dataset), we introduce two new distance measures for comparison of IT2 fuzzy numbers and propose a novel framework for solving fuzzy mathematical programming problems. In the second stage, we introduce a new procedure to determine the mild and extreme fuzzy outlier cutoffs and apply them to remove the outliers, and then provide the final model based on a clean dataset. Furthermore, to evaluate the performance of the proposed methodology, we introduce and employ suitable goodness of fit indices. Finally, to illustrate the theoretical results of the proposed method and explain how it can be used to derive the regression model with IT2 trapezoidal fuzzy data, as well as compare the performance of the proposed model with some well-known models using training data designed by Tanaka et al. [55 ], we provide two numerical examples. Show more

Keywords: Fuzziness, randomness, IT2 fuzzy regression parameters, outlier cutoffs, IT2 fuzzy goal programming problems

DOI: 10.3233/JIFS-210340

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1381-1403, 2022

Authors: Wu, Guancen | Li, Chen | Niu, Xing

Article Type: Research Article

Abstract: Housing affordability is an important issue and can be measured by an increasing number of indicators. Different urban settings may lead to different housing affordability criteria. This study incorporates the third-generation prospect theory and improved VIKOR method to construct a novel, comprehensive evaluation model for assessing housing affordability. The housing price to income and rent to income ratios were chosen as evaluation indicators, and the yearly median value of each indicator was taken as a dynamic reference point. The housing affordability indicators’ realistic prospect value matrix for large- and medium-sized Chinese cities were obtained for the study period’s duration. The …comprehensive housing affordability prospect values were ranked using the improved VIKOR with entropy weight method. The novel proposed approach’s rationality and effectiveness were examined by comparing the original and prospect values, performing sensitivity analysis on the prospect value parameters, contrasting the ordinary and improved VIKOR methods, and comparing the proposed approach with the TOPSIS method. The results demonstrate that the proposed method can consider the decision maker’s psychological factors, endow housing affordability evaluation criteria with dynamic characteristics, overcome the problem of order reversal, and ensure the optimal compromise solution. Therefore, the proposed approach is suitable for housing affordability evaluation. Show more

Keywords: Housing affordability, third-generation prospect theory, dynamic reference point, prospect value, VIKOR

DOI: 10.3233/JIFS-210369

Citation: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 3, pp. 1405-1420, 2022