Journal of Intelligent & Fuzzy Systems - Volume 38, issue 3

Authors: Shazad, Aqeel | Rasham, Tahair | Marino, Giuseppe | Shoaib, Abdullah

Article Type: Research Article

Abstract:  The purpose of this article is to establish fixed point results for a pair of α ∗ -dominated fuzzy mappings fulfilling generalized locally new α ∗ - ψ -Ćirić type rational contractive conditions on a closed ball in complete dislocated metric spaces. Example and application are given to demonstrate the novelty of our results. Our results extend several comparable results in the existing literature.

Keywords: Fixed point, complete dislocated metricspace, α∗-dominated mapping, α∗- ψ-Ćirić type rational contraction, graphic contraction, fuzzy mappings, 46S40, 47H10, 54H25

DOI: 10.3233/JIFS-191020

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3093-3103, 2020

Authors: Wu, Jian-Zhang | Beliakov, Gleb

Article Type: Research Article

Abstract:  We propose a general notion of lower k -order representative capacity that is totally identified by the smallest k-order coefficients in one or another equivalent representation, and the k -additive, k -maxitive and k -tolerant capacities are just its special cases. We further construct its dual notion, the upper k -order representative capacity, which is accordingly determined by n  - 1 to n  - k -order representation coefficients and takes k -minitive and k -intolerant capacities as its concrete instances. Some particular and important cases of the upper and lower k -order representative capacities based on nonadditivity index as well as simultaneous …interaction indices are introduced and studied. The identification scheme of lower/upper k -order capacity is also given and illustrated. This general framework allows one to tailor and simplify capacities while matching and representing the decision makers preferences in terms of interaction index or other desired representation of capacity. Show more

Keywords: Multicriteria decision making (MCDM), fuzzy measure, lower and upper k-order representative, k-nonadditive, capacity identification

DOI: 10.3233/JIFS-191049

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3105-3115, 2020

Authors: Zhang, Yun | Zhang, Yude | He, Wei | Yu, Shujuan | Zhao, Shengmei

Article Type: Research Article

Abstract:  Feature selection is an essential part in the data preprocessing. In the text classification, most of the previous feature selection algorithms rarely consider the redundancy between features. This paper focuses on eliminating redundancy. After modifying the formula of feature correlation of original fast correlation-based filter (FCBF) and updating the algorithm strategy, we propose a new approach named improved feature size customized fast correlation-based filter (IFSC-FCBF). In addition, we combine IFSC-FCBF with Naive Bayes (NB) classifier for text classification, and test it in four typical text corpus data sets. The results demonstrate that with the same feature size, IFSC-FCBF method has …the advantages of higher accuracy and shorter running time than other methods. Show more

Keywords: Feature selection, Naive Bayes, text classification, FCBF, IFSC-FCBF

DOI: 10.3233/JIFS-191066

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3117-3127, 2020

Authors: Feng, Xin | Jiang, Jun-cheng | Feng, Yue-gui

Article Type: Research Article

Abstract: We proposed a method to evaluate the reliability of gantry cranes and address current shortcomings in reliability evaluations. First, according to gantry crane characteristics, an evaluation system and fault tree model were established. Fault tree analysis (FTA) was then transformed into a Bayesian network topology model. Second, the prior probability of basic events was determined from expert scoring. Finally, the reliability of the whole crane was evaluated. The proposed method was applied to a company’s gantry crane. The result indicated that failure probability could be calculated, and the root cause of failure could be precisely diagnosed. Fuzzy mathematical analysis could …only evaluate risk levels of gantry cranes, and FTA provided only the minimum cut sets. The proposed method could precisely identify more risk factors than fuzzy mathematical analysis and FTA. This study confirmed that the proposed methodology was a more efficient reliability evaluation tool. Show more

Keywords: Gantry crane, fault tree analysis, Bayesian network, reliability

DOI: 10.3233/JIFS-191101

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3129-3139, 2020

Authors: Ghareeb, A. | Khalil, O.H. | Omran, Saleh

Article Type: Research Article

Abstract:  The aim of this paper is mainly to study the (L , M )-fuzzy measurability in view of degree. Firstly, we generalize the notion of (L , M )-fuzzy σ -algebra by defining the degree of an (L , M )-fuzzy σ -algebra with respect to a mapping σ  : L X  ⟶ M . Such kind of degrees is proved to satisfy some axioms of (L , M )-fuzzy σ -algebra. Additionally, we define and study some special degrees such as the degree of (L , M )-fuzzy measurable mapping, (L , M )-fuzzy measurable-to-measurable mapping, isomorphic mapping and quotient …mapping with respect to mappings between two (L , M )-fuzzy measurable spaces in details. Finally, we give characterizations of these degrees and investigate the relationships between them. Show more

Keywords: (L, M)-fuzzy σ-algebra, (L, M)-fuzzy measurable mapping, (L, M)-fuzzy measurable-to-measurable mapping, isomorphism mapping, quotient mapping

DOI: 10.3233/JIFS-191117

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3141-3150, 2020

Authors: Jangra, Manisha | Dhull, Sanjeev Kr. | Singh, Krishna Kant

Article Type: Research Article

Abstract: In this paper, the authors propose an improved convolutional neural network for automatic arrhythmia classification using Electro-Cardio-Gram (ECG) signal. It is essential to periodically monitor the heart beat arrhythmia to reduce the risk of death due to cardiovascular disease (CVD). The Visual Geometry Group network (VGGNet) is being widely used in computer vision problems. However, the same network cannot be used for classification of ECG beats as ECG signal is different from image signal in terms of dimensionality and inherent features. Thus, the authors investigated the effect of decreasing depth and width of a convolutional neural network in context of …cardiac arrhythmia classification. In this paper, six configurations differing in depth and width are evaluated using benchmark MIT-BIH database. A deep network having thirteen convolution layers but with a smaller number of filters (reduced width) showed outstanding performance for the given problem. Based on the findings, the work is further extended to propose an improved convolutional neural network named as modified VGGNet (mVGGNet) for the task of ECG arrhythmia classification into four classes which are normal (N), ventricular ectopic beat (VEB), supraventricular ectopic beat (SVEB) and fusion beat (F). The hyper-parameters of the proposed architecture were optimized using sequential model based global optimization (SMBO) algorithm. The proposed architecture is evaluated using subjected-oriented patient-independent evaluation protocol. The performance is evaluated using five-fold cross-validation. The proposed mVGGNet achieved 98.79% and 99.16% accuracy for ventricular ectopic beats (VEB) and supraventricular ectopic beats (SVEB) classification respectively. The proposed method resulted in higher specificity and precision as compared to other state-of-the-art algorithms. Thus, it can be effectively used for ECG arrhythmia classification. Show more

Keywords: Deep learning, ECG, arrhythmia, VGGNet, convolutional neural network

DOI: 10.3233/JIFS-191135

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3151-3165, 2020

Authors: Hu, Xiaohan | Jiang, Rong | Shi, Mingyue | Shang, Jingwei

Article Type: Research Article

Abstract: In order to solve the trust problem generated by each node in the medical cloud system during the interaction process, a dynamic access control model based on trust evaluation is proposed in this paper. The model uses entropy weight method and fuzzy theory to fit the comprehensive interaction trust value of nodes, add the role-based two-way selection mechanism and third-party real-time monitoring mechanism for dynamic access control. Give the specific procedures and methods. Through simulation and comparison experiments with the classic Eigen-Trust model and RBAC, we can see that the model proposed in this paper has great advantages in dynamic …controllability, time complexity and trust accuracy. Show more

Keywords: Cloud computing, health care big data, information entropy, trust evaluation, fuzzy relation matrix, access control

DOI: 10.3233/JIFS-191149

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3167-3178, 2020

Authors: Khan, Mudassir | Ansari, Mohd Dilshad

Article Type: Research Article

Abstract: Due to advancement of modern computing technology, software and its products have played an important role in the success and failure of any business. Nowadays, numerous researchers have focused their work on the development of new software quality models and its scopes. Evaluating software quality models based on several attributes is an essential and complex multi-criteria decision making problem (MCDM). To tackle this issue, several studies have been presented for the evaluation of software quality models by utilizing decision making and the idea of fuzzy sets (FSs). Present research develops an intuitionistic fuzzy (IF) improved score function method to deal …with MCDM problems under intuitionistic fuzzy sets (IFSs). Further, the efficiency and feasibility of the proposed method is illustrated to choose the best software quality model under IF environment. To authorize the results, comparative study with previous developed approaches is discussed. Show more

Keywords: Intuitionistic fuzzy sets, divergence measure, MCDM, score function, software quality model

DOI: 10.3233/JIFS-191153

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3179-3188, 2020

Authors: Cai, Jingcao | Zhou, Rui | Lei, Deming

Article Type: Research Article

Abstract:  Distributed scheduling has attracted much attention in multiple factories. However, uncertainties are often neglected in the previous works and this neglecting may result in the low value of the obtained schedule. In this study, fuzzy distributed scheduling is addressed in two-stage hybrid flow shop with sequence-dependent setup times(SDST) which is a frequently studied constraint in single factory and seldom handled in multiple factories. A collaborative variable search (CVS) is proposed to optimize total agreement index and fuzzy makespan simultaneously. Seven neighborhood structures and two global search operators are used in two cooperated variable search parts to generate high quality solutions. …Experiments are conducted and the computational results reveal that CVS has promising advantages on the considered fuzzy distributed scheduling problem. Show more

Keywords: collaborative variable search, fuzzy scheduling, distributed scheduling, two-stage hybrid flow shop, sequence-dependent setup times

DOI: 10.3233/JIFS-191175

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3189-3199, 2020

Authors: Jia, Lifen | Lio, Waichon | Chen, Wei

Article Type: Research Article

Abstract: Uncertain spring vibration equations modell the vibration of a spring subjected to a time varying external force driven by the Liu process. In this paper, we investigate uncertainty distributions of the extreme values, first hitting time, and time integral of solutions to uncertain spring vibration equations. Moreover, a numerical algorithm is designed to obtain the extreme values, and numerical examples are presented to illustrate the effectiveness of the proposed algorithm.

Keywords: Uncertain differential equation, spring vibration equation, extreme value, first hitting time, time integral

DOI: 10.3233/JIFS-191179

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3201-3211, 2020