Journal of Intelligent & Fuzzy Systems - Volume 34, issue 6

Authors: Zhang, Yunpeng | Wu, Xuqing | Zhang, Beibei

Article Type: Research Article

Abstract: With the explosive growth of the Internet, the Attribute-Based Access Control (ABAC) System has developed rapidly in size and complexity. So it is important to identify potential security flaws and bugs in the ABAC System using efficient testing. However, exhaustive testing is unrealistic due to time and budget constraints. In this paper, we propose a new method of unit testing based on the coverage selection approach using a decision inheritance tree. This data flow based testing method can achieve high structural coverage of design test cases. To evaluate the effectiveness of this method, we conducted two sets of tests using …mutation operators and found higher mutation scores using the coverage selection approach based on the decision inheritance tree and combination testing based on data flow. The evaluation results show that the new method can reach higher mutation scores. Show more

Keywords: XACML, attribute-based access control, decision inheritance tree, combination testing

DOI: 10.3233/JIFS-169559

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3881-3890, 2018

Authors: Singh, Dhan Jeet | Agrawal, Pooja | Verma, Nishchal K. | Ghosh, A.K. | Malagaudanavar, Appasaheb

Article Type: Research Article

Abstract: This paper presents an interval type-2 Takagi Sugeno (TS) fuzzy model of Angle of Attack sensor of the aircraft. The angle of attack signal is used as a gain scheduling variable in flight control computer for governing the flight control laws, hence any failure or malfunction of this sensor can cause catastrophic damage of the aircraft. In this paper angle of attack signal is estimated indirectly by means of interval type-2 TS fuzzy model with the data obtained from aircraft speed, vertical acceleration and pitch angle sensors. The methodology shows its benefits for formulating a data driven standby model of …actual angle of attack sensor. The presence of uncertainty in data or measurements can be addressed by type-2 fuzzy logic theory. The concept is demonstrated by using the recorded flight data of VFW-614 ATTAS aircraft operating in quasi-steady stall flight maneuver without any reference to physics of stall hysteresis. The model parameters are obtained using Gustafson and Kessel (G-K) clustering and weighted least square method. The comparative study with other modeling methods and fivefold cross validation test between model estimated data and actual angle of attack sensor data shows well suited modeling capability of proposed interval type-2 TS fuzzy system. Show more

Keywords: Type-2 TS fuzzy model, angle of attack sensor, Gustafson and Kessel (G-K) clustering, flight control

DOI: 10.3233/JIFS-169560

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3891-3901, 2018

Authors: Tang, Xiaoan | Peng, Zhanglin | Ding, Haining | Cheng, Manli | Yang, Shanlin

Article Type: Research Article

Abstract: Distance and similarity measures have recently been investigated in-depth within the context of hesitant fuzzy sets. By analyzing the existing studies concerning distance measures for hesitant fuzzy sets, we find that they have some limitations. To address the flaws, this study develops some novel distance measures for hesitant fuzzy sets, including the normalized Euclidean distance measure, the Hausdorff metric distance measure, the normalized generalized distance measure, and their corresponding weighted distance measures. The proposals of this study not only hold many ideal characteristics but also do not consider the lengths of hesitant fuzzy elements as well as the arrangement of …their possible values. To deal with the situations where both of the universe of discourse and the weight of element are continuous, some continuous hesitant fuzzy distance measures are also investigated. Based on the relationship between distance measure and similarity measure, some novel similarity measures for hesitant fuzzy sets can be further deduced from the proposed distance measures. Finally, two numerical examples are given to demonstrate the applicability and validity of the proposed hesitant fuzzy distance measures. Show more

Keywords: Hesitant fuzzy sets, distance measure, similarity measure, multiple attribute decision making

DOI: 10.3233/JIFS-169561

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3903-3916, 2018

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3917-3917, 2018

Authors: Sun, Xiao-Ling | Wang, Ning

Article Type: Research Article

Abstract: In order to deal with the large amount of uncertain information in the fault diagnosis of gas turbine, intuitionistic fuzzy fault Petri nets (IFFPNs) model are constructed by combining the Intuitionistic Fuzzy Sets (IFSs) with Fuzzy Petri Nets (FPNs). According to the actual fault diagnosis process of gas turbine, we shall give a formal intuitionistic fuzzy reasoning algorithm with parameters such as weights, threshold value and certainty degree which are represented by intuitionistic fuzzy number. Based on the algorithm, the process of fault diagnosis can be transformed into intuitionistic fuzzy reasoning process. Finally, the feasibility and validity of the proposed …inference model is illustrated by the instance of gas turbine fault diagnosis. Show more

Keywords: Intuitionistic fuzzy set, intuitionistic fuzzy fault Petri nets, intuitionistic fuzzy logic, gas turbine fault diagnosis

DOI: 10.3233/JIFS-161012

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3919-3927, 2018

Authors: Wang, Yupin | Sun, Shurong | Han, Zhenlai

Article Type: Research Article

Abstract: In this paper, we initiate to investigate the existence and uniqueness of solutions to initial value problems for fuzzy fractional Schrödinger equations involving the Caputo’s H -derivative. Continuous dependence on initial values of the solution is also considered. Our results are based on a successive approximation method and the Banach contraction mapping principle. Two examples are presented for our new results.

Keywords: Fuzzy fractional differential equation, Schrödinger equation, initial value problem, strongly generalized Hukuhara differentiability, fixed point theorem

DOI: 10.3233/JIFS-161474

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3929-3940, 2018

Authors: Liu, Bingsheng | Yu, Lishuang | Ding, Ru-Xi | Yang, Baochen | Li, Zhi

Article Type: Research Article

Abstract: For complex multi-attribute large-group decision-making problems in the interval-valued intuitionistic fuzzy environment, decision attributes are correlated and stratified, and the correlations among them are not always consistent. This paper proposes a decision-making method: a two-stage regularized generalized canonical correlation analysis (RGCCA) based on multi-block analysis method. The proposed two-stage RGCCA method can well represent the different characteristics between the positive and negative attribute blocks, which makes the decision making process closer to actual. Since RGCCA can only handle single-valued information, this research also presents a novel transformation method of interval-valued intuitionistic fuzzy numbers to single-valued numbers. For the two-stage RGCCA …model, in the first stage, all attributes are divided into the positive and negative attribute blocks according to the signs of the weight coefficients of block components. In the second stage, we conduct RGCCA based on multi-block analysis method for the two types of blocks, respectively. Finally, in terms of the estimated values of block components in the two types of blocks and weights of the two types of blocks (obtained by the maximizing deviation method), the evaluation value of each alternative is calculated and the ranking result of alternatives is given. An example is illustrated to verify the feasibility and the validity of the proposed method. Show more

Keywords: Complex multi-attribute large-group decision making, regularized generalized canonical correlation analysis, multi-block analysis, transformation method

DOI: 10.3233/JIFS-161845

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3941-3953, 2018

Authors: Hung, Jui-Chung

Article Type: Research Article

Abstract: In a multipath environment, signals generally reach the receiving antenna through two or more paths, causing the existing direction-of-arrival (DOA) estimation methods to be biased. Various particle swarm optimization (PSO) algorithms may provide premature convergence without determining the global optimum. However, the multipath effect is reduced by projecting the received signal onto an appropriate beam space. In this paper, a new memetic PSO (MPSO) scheme is proposed for estimating the DOA in a multipath environment. This scheme addresses the multipath effect by applying local search techniques to PSO, resulting in highly efficient optimization and a reduced multipath effect. The scheme …is as follows: First, PSO and the minimum variance distortionless response (MVDR) method are used to estimate the DOA of signals. Second, the individual best position of the swarm and the beam space MVDR (BMVDR) method are used to construct an objective function. Furthermore, the first-order Taylor expansion of the objective function and local search techniques are used to enhance the search accuracy and reduce the search complexity. Two numerical examples are presented to illustrate the design procedure and demonstrate the high performance of the proposed method. Show more

Keywords: Memetic algorithms, particle swarm optimization, direction-of-arrival estimation, first-order Taylor series expansion, minimum variance distortionless response

DOI: 10.3233/JIFS-162052

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3955-3968, 2018

Authors: Alamiyan-Harandi, Farinaz | Derhami, Vali | Jamshidi, Fatemeh

Article Type: Research Article

Abstract: This paper proposes a framework for trajectory tracking of wheeled robots in indoor environment. Being robust against uncertainty and scalability to large environments are essential factors for this task. Here, it is supposed that the robot is only equipped with a vision system e.g. a Kinect camera. Generally, some challenges in this problem are: determining suitable control architecture, adjusting the parameters of this architecture according to the given purposes, extracting proper features from high-dimensional input images. In this paper, using deep learning methods the proper features are extracted. The controller is designed based on weighted sum of these features. A …new method to combine supervised learning and reinforcement learning is introduced to adjust the proposed controller parameters. The mobile robot and the experimental environments are established on the WEBOTS and MATLAB co-simulation platform. The simulation experimental results indicate that the designed control is robust and effective for tracking trajectories in the indoor environment. Show more

Keywords: Depth data, mobile robot, reinforcement learning, trajectory tracking

DOI: 10.3233/JIFS-171043

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3969-3982, 2018

Authors: an, Zhiyong | hao, Guan | li, Yuan

Article Type: Research Article

Abstract:  Occlusion handling is a challenging problem in object tracking. Most existing methods fail to handle well in complex image sequences. This paper presents a scene adaptive tracking algorithm in occlusion. We decompose the tracking into target translation and scale prediction. A kernelized correlation filter with an adaptive update scheme is adopted to estimate target position. The adaptive online update scheme takes advantage of the confidence score sensitivity to occlusion and reduces the false updating in occlusion during the tracking sequence. The target scale can be estimated by the correlation filter with the ridge regression. Extensive experiments results on 29 challenging …occlusion sequences show that the proposed tracking approach achieves the average overlap precision (OP) of 72.2%, which improves the performance by 7.6% compared to the DSST. On OTB-50 dataset, our tracking approach is also superior comparing to several state-of-the-art trackers. Show more

Keywords: Object tracking, correlation filter, Fast Fourier Transform (FFT)

DOI: 10.3233/JIFS-171071

Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 3983-3991, 2018