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

Authors: Vimala, J. | Vijayalakshmi, L. | Peng, Xindong

Article Type: Research Article

Abstract:  Molodtsov introduced soft set theory. Soft set theory has been emerged as a mathematical tool to solve complicated problems with uncertainity. In this paper by combining lattices and soft group the new hybrid structure lattice ordered soft group and its algebraic operations are introduced. Finally an application of lattice ordered soft group on urban planning is analysed.

Keywords: Soft set, soft group, lattice ordered soft set, lattice ordered soft group, decision making

DOI: 10.3233/JIFS-182662

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2951-2959, 2020

Authors: Fazil, Mohd | Abulaish, Muhammad

Article Type: Research Article

Abstract:  Twitter is a popular microblogging platform, which facilitates users to express views and thoughts on day-to-day events using short texts limited to a maximum of 280 characters. However, it is generally targeted by socialbots for political astroturfing, advertising, spamming, and other illicit activities due to its open and real-time information sharing and dissemination nature. In this paper, we present a socialbots analysis-driven graph-based approach for identifying coordinated campaigns among Twitter users. To this end, we first present statistical insights derived from the analysis of logged data of 98 socialbots, which were injected in Twitter and associated with …top-six Twitter using countries. In the analysis, we study and present the impact of socialbots’ profile features, such as age and gender on infiltration. We also present a multi-attributed graph-based approach to model the profile attributes and interaction behavior of users as a similarity graph for identifying different groups of synchronized users involved in coordinated campaigns. The proposed approach is experimentally evaluated using four different evaluation parameters over a real dataset containing socialbots’ trapped user profiles. The evaluation of identified campaigns in the form of clusters reveals the traces of spammers, botnets, and other malicious users. Show more

Keywords: social network analysis, coordinated campaign, socialbots infiltration, socialbots characterization, twitter spam

DOI: 10.3233/JIFS-182895

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2961-2977, 2020

Authors: Shang, Yu | Han, Zhiguo | Qiao, Yun | Zhou, Jinglun

Article Type: Research Article

Abstract: To identify the continuous research status for a specific journal is the purpose of this study, employing a visualization software named CiteSpace, which is an effective scientometrics tool widely spread. 3,786 articles published in the Journal of Intelligent & Fuzzy Systems between 2002 and 2018 were retrieved from Web of Science. The co-citation network of references was linked and mapped to explore the important documents. Soon afterwards, the author co-citation network, the journal co-citation network, and the keywords co-citation network are equally important. The results of this study are instructive and meaningful to guide practice in scientific research.

Keywords: Journal analysis, visualization analysis, CiteSpace, burst detection

DOI: 10.3233/JIFS-18326

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2979-2989, 2020

Authors: Zhao, Qianli | Zong, Linlin | Zhang, Xianchao | Liu, Xinyue | Yu, Hong

Article Type: Research Article

Abstract:  Multi-view clustering algorithms mostly apply to data without incomplete instances. However, in real-world applications, representations for the same instance are probably absent from several but not all views. This incompleteness disables traditional multi-view clustering methods from grouping incomplete multi-view data. Recently, multi-view clustering methods on incomplete data have been proposed, and the existing methods have two limitations. One is that most methods were developed for incomplete datasets only with two views. The other is that most methods were incapable of grouping data with complex distributions. In this paper, we propose a novel incomplete multi-view clustering algorithm named IMSVC, in which …we adopt spectral analysis to supervise the common representation extracted from all the views. Firstly, IMVSC constructs a bipartite graph for each view. By introducing an instance-view indicator matrix to indicate whether a representation exists in a view or not, we calculate the edge weights of bipartite graph based on the point-to-point similarity. Secondly, IMVSC constructs the multi-view relationship by guiding the multiple views to share the same instance partitioning. Finally, we create a novel iterative method to optimize IMVSC. Experimental results show sound performance of the proposed algorithm on several incomplete datasets. Show more

Keywords: Multi-View, spectral clustering, incomplete data

DOI: 10.3233/JIFS-190380

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2991-3001, 2020

Authors: Shatanawi, Wasfi | Gupta, Vishal | Kanwar, Ashima

Article Type: Research Article

Abstract:  In this paper, we introduce the notions of E.A and common E.A on modified intuitionistic generalized fuzzy metric space. We utilize our new notions to introduce and formulate some common fixed point theorems on modified intuitionistic generalized fuzzy metric space for coupled maps.

Keywords: Coupled maps, complete subspace, property (E.A), fuzzy metric space (FM-space), common E.A property, modified intuitionistic generalized fuzzy metric space (MIGFM-space)

DOI: 10.3233/JIFS-190541

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3003-3010, 2020

Authors: Fan, Ching-Lung

Article Type: Research Article

Abstract: Construction inspection is a crucial mechanism for evaluating the construction quality of public construction in Taiwan. Inspection scores are results based on the experiences or subjective evaluations of auditors. Although general rating principles and procedures are specified, objective standards are not adopted to determine scores and cannot concretely demonstrate actual construction quality. This study integrated the analytic network process (ANP) and fuzzy set (FS) to develop a construction quality index (CQI) model as a concrete indicator and objective standard for evaluating construction quality. Based on past defect data inspected by auditors, dependent factors for defects were established, and the ANP …was employed to calculate the weights of all factors. Subsequently, the frequencies of defects for all items in a construction inspection were multiplied by the factor weights and summed to obtain a set of CQI values. Furthermore, the use of FS reasoning affects important defects (10 items) in project quality and important values (IV). The CQI values obtained were as follows. Grade A was lower than 1.0, Grade B was between 1.0 and 3.0, Grade C was between 3.0 and 5.0, and Grade D was greater than 5.0 (IV). The CQI model is based on the frequency of defects and weights, improves the problem of intuitive on-site ratings provided by auditors, and establishes an objective and simple method for rating construction quality to effectively enhance rating standards for construction inspections. Show more

Keywords: Analytic network process, fuzzy set, construction quality index, construction inspection, grade

DOI: 10.3233/JIFS-190608

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3011-3026, 2020

Authors: Amin, Fazli | Fahmi, Aliya | Shah, Syed Bilal Hussain | Aslam, Muhammad

Article Type: Research Article

Abstract: In this paper, we define the new concept of linguistic interval-valued intuitionistic neutrosophic fuzzy numbers and operational laws. We discuss the two aggregation operators, which are defined as linguistic interval-valued intuitionistic neutrosophic fuzzy weighted averaging operator and linguistic interval-valued intuitionistic neutrosophic fuzzy hybrid weighted averaging operator, for collection of data. We define the MAGDM problem under the LIVINF environment. Finally, we define a numerical example.

Keywords: Linguistic, neutrosophic set, linguistic intuitionistic fuzzy number, linguistic interval-valued intuitionistic neutrosophic fuzzy numbers, interval-valued intuitionistic neutrosophic fuzzy weighted averaging operator, linguistic interval-valued intuitionistic neutrosophic fuzzy hybrid weighted averaging operator, MCDM, Numerical application

DOI: 10.3233/JIFS-190719

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3027-3039, 2020

Authors: Alahmadi, Amani | Hussain, Muhammad | Aboalsamh, Hatim | Azmi, Aqil

Article Type: Research Article

Abstract: Smartphone-based periocular recognition (SPR) has gained significant attention because of the limitations of face and iris biometric modalities. For this problem, most of the existing methods employ hand-crafted features. On the other hand, deep convolutional neural networks (CNN), which learn features automatically, have shown outstanding performance for many visual recognition tasks over hand-crafted features. In view of this paradigm shift, we propose an SPR method based on CNN model. A CNN model needs a huge volume of data, but for periocular recognition problem only limited amount of data is available. One solution for this issue is to use a CNN …model pre-trained on the dataset from a related domain, but this raises the questions of how to extract discriminative features from a pre-trained CNN model and classify them. We introduce a simple, efficient and compact image representation method based on a pre-trained CNN model (VGG-Net). This method employs the wealth of information and sparsity existing in the activations of convolutional layers of a CNN model. For recognition, we use an efficient and robust Sparse Augmented Collaborative Representation based Classification (SA-CRC) technique. For a thorough evaluation of ConvSRC (the proposed system), experiments were carried out on the VISOB database, which was presented as the challenge dataset in ICIP2016. The results show the superiority of ConvSRC over the state-of-the-art methods; it obtains a GMR of more than 99% at FMR = 10-3 and outperforms the first winner of the ICIP2016 challenge by 10%. Show more

Keywords: Periocular biometric, mobile biometrics, deep learning, convolutional neural network, sparse collaborative representation

DOI: 10.3233/JIFS-190834

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3041-3057, 2020

Authors: Yang, Hong | Gong, Zengtai

Article Type: Research Article

Abstract:  In this paper, we proposed an iterative procedure based on Landweber iterative methods to solve fuzzy Fredholm integral equations of the first kind. In addition, this research be based on a strictly convex fuzzy number space and the Riemann integral of fuzzy-number-valued function which is taken value in the space. The error estimation of the proposed method in terms of uniform and partial modulus of continuity was given. The generalized difference of fuzzy numbers was controlled and estimated reasonably. And it was avoided to compute the generalized difference of fuzzy numbers during the iterations. Finally, two illustrative examples are included …in order to demonstrate the accuracy and the convergence of the proposed method. Show more

Keywords: Fuzzy numbers, Fuzzy Integral equation, Iterative method, Uniform modulus of continuity, Partial modulus of continuity

DOI: 10.3233/JIFS-190972

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3059-3074, 2020

Authors: Yang, Kai | Wang, Rui | Yang, Lixing

Article Type: Research Article

Abstract:  Failures on hub-and-spoke (H&S) network components (i.e., node and arc) of a road-rail intermodal transport (RRIT) system can give rise to severe degradation of the entire system reliability. This paper aims at developing a fuzzy reliability optimization approach for the RRIT system, which can be interpreted as a parallel-series system. To begin with, we provide a definition for the RRIT system reliability and relevant functions and subsequently, a fuzzy possibility measure-based optimization model. Different from previous studies, this model focuses on maximizing the network performance in terms of reliability by locating intermodal hubs for delivering flows among origin-destination (O-D) nodes. …Next, we further discuss the complexity of the proposed model which has proven to be NP-hard. Hence, we use the tabu search (TS) algorithm with a two-dimensional array-based representation and two types of move operators to solve the proposed model and obtain optimal/near-optimal solutions for realistic instance sizes. Finally, we conduct a case study based on the well-known Turkish network to demonstrate the superiority of proposed model and the effectiveness of developed methods. Show more

Keywords: Road-rail intermodal transport, hub-and-spoke network, parallel-series system, fuzzy reliability, TS algorithm

DOI: 10.3233/JIFS-191010

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 3075-3091, 2020