Journal of Intelligent & Fuzzy Systems - Volume 38, issue 4

Authors: Temucin, Tolga | Tuzkaya, Gulfem

Article Type: Research Article

Abstract: Reverse logistics has become one of the emerging research and application areas since the early 1990s due to several driving forces such as economic benefits, governmental regulations, increasing levels of environmental problems, etc. As an essential part of reverse logistics (RL) literature, Reverse Logistics Network Design (RLND) efforts can provide economic and ecological advantages to the supply chains. In this study, we consider a reverse distribution channel and try to determine the locations of the collection centers (CCs) and repair centers (RCs) and the amount of product flow between the customers-CCs and CCs-RCs. Considering the multi-objective nature of the RLND …problems, total cost and total delay minimization and total average capacity utilization maximization objectives are taken into account. This problem is formulated as a multi-objective mixed integer nonlinear programming model and is solved by two approaches: a heuristic and a tabu search based meta-heuristic in which both of the solution approaches are integrated with weighted max-min approach. Numerical analyses have been carried out to show the effectiveness of the proposed approaches and the solutions obtained from each approach have been compared. Show more

Keywords: Reverse logistics, network design, tabu search, weighted max-min method

DOI: 10.3233/JIFS-190431

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4139-4157, 2020

Authors: Liu, Donghai | Peng, Dan | Liu, Zaiming

Article Type: Research Article

Abstract:  An important feature of hesitant interval-valued fuzzy set(HIVFS) is that it can describe the hesitant situations flexibly. In this paper, we first introduce the hesitance degree of HIVFS, then some distance measures between hesitant interval-valued fuzzy sets(HIVFSs) based on the hesitancy degree and least common multiple principle are proposed, which can not only describe the degree of the decision makers’ hesitance in decision making process but also measure the relationship between HIVFS more objectively. Furthermore, we develop the TOPSIS method to the proposed distance measures with different preferences for the hesitancy degree and membership values. Finally, a numerical example is …given to illustrate the feasibility of the proposed method, and the effectiveness of the method is verified by some comparative analysis. In order to understand the effect of the preference parameter α and the distance parameter τ in decision making process, we make the sensitivity analysis of parameters by evaluating the example about commercialization of possible emerging technology enterprises. Show more

Keywords: Hesitance degree, hesitant interval-valued fuzzy set, the least common multiple principle, TOPSIS

DOI: 10.3233/JIFS-190445

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4159-4172, 2020

Authors: Gong, Jianye | Jiang, Bin | Shen, Qikun

Article Type: Research Article

Abstract:  This paper studies the distributed adaptive output-feedback fault tolerant control problem for leader-following multiagent systems with sensor faults. By using the approximation theory of neural networks, an unknown continuous function is approximated, and the problem that the neural network output deviates from the true approximation of the unknown function due to the faults of neural network input is solved. A filter observer is adopted to estimate the unmeasurable states. Based on the adaptive backstepping technique and fault tolerant control technique, a distributed adaptive neural output-feedback control scheme is proposed to guarantee the output consensus of all nodes under directed communication …graphs. Based on graph theory and Lyapunov stability theory, it is proved that the proposed adaptive neural control scheme guarantees the uniformly ultimate boundness of the closed-loop systems, and the tracking errors converge to a small adjustable neighborhood of the origin. The simulation results demonstrate the effectiveness of the control approach in this paper. Show more

Keywords: Fault tolerant control, adaptive control, multiagent systems

DOI: 10.3233/JIFS-190531

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4173-4190, 2020

Authors: Wan, Qiang | Zhu, Mei | Liu, Yan

Article Type: Research Article

Abstract: The traditional fixed sampling interval (FSI) synthetic X ¯ control chart is sensitive to large and moderate process shifts, but insensitive to small process shifts. This paper proposes an improved variable sampling interval (VSI) synthetic X ¯ control chart with two sampling interval lengths for monitoring the process mean. A Markov chain method is used to compute the adjusted average time to signal (AATS) of the proposed chart. The statistical design of the VSI chart is then formulated and solved with a specific genetic algorithm. Comparisons are made …to show the capability of the VSI chart in yielding average performance boost of 16.4%, in the AATS of the VSI chart scheme compared to the situation in which the corresponding FSI chart is used. Show more

Keywords: Statistical process control, synthetic X control chart, variable sampling interval, adjusted average time to signal

DOI: 10.3233/JIFS-190600

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4191-4203, 2020

Authors: Dehghan, Motahareh | Sadeghiyan, Babak | Khosravian, Erfan

Article Type: Research Article

Abstract:  In this paper, we present a protocol for secure resolution of collision between aircraft, while their corresponding trajectories are kept private. For privacy reasons, we assume that each aircraft’s position, heading and velocity are not available to all aircraft involved in the protocol. Our new secure protocol is based on an algorithm, which is for collision resolution of aircraft, without considering the privacy requirement. Our approach is Secure Multi-party Computation. To present our Secure Multi-party Collision Resolution Protocol, we propose a new Secure Sorting Protocol and a Modified Distributed Oblivious Transfer Protocol. We also take advantage of employing a …Secure Multi-party Collision Detection Protocol, a Homomorphic Encryption, a Secure Comparison Protocol, and a Secure Maximum Finding Protocol. To prove the security of our proposed protocol and its sub-protocols, we use the Ideal/ Real Simulation Paradigm. The communication complexity of our proposed protocol is in O  (n 2 ), and its computation complexity is in O(n) . We have also done a simulation for the execution of our proposed protocol for multiple moving aircraft, to show its practicality. Show more

Keywords: Privacy, collision detection and resolution, line segment intersection algorithm, exact and inexact collision

DOI: 10.3233/JIFS-190675

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4205-4221, 2020

Authors: Van Can, Nguyen | Tu, Doan Ngoc | Tuan, Tong Anh | Long, Hoang Viet | Son, Le Hoang | Son, Nguyen Thi Kim

Article Type: Research Article

Abstract: In Botnet Detection, Domain generation algorithms are the most effective method to intercept and analyze captured package. In this article, we propose a new method to classify harmful domain names using Neutrosophic Sets. Data of domain name, after being selected featured and fuzzed into Neutrosophic Sets will be used to classify benign domain names, malicious domain names and indeterminacy domain names, minimizing false detection of benign domain names. The proposed model is going to be tested and evaluated with other malicious domain detection models in the aspects of accuracy points, Accuracy, Revocation, and F1, all of which show that our …proposed model has good results. Show more

Keywords: DGA domain detection, neutrosophic clustering, classifying

DOI: 10.3233/JIFS-190681

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4223-4236, 2020

Authors: Liu, Mingtang | Wang, Li | Qin, Zening | Liu, Jiaqi | Chen, Jian | Liu, Xuemei

Article Type: Research Article

Abstract: In order to make the feature data more linearly separable for support vector machine(SVM) classifier, a set of different scale and direction parameter was proposed for improving the recognition effect of cement slope damage in high fill channels. The Gabor wavelet was used to extract the multi-scale and multi-directional features of the high-fill channel’s abrupt features. Then SVM algorithm was utilized to perform damage classification and level recognition. To compare the recognition effect of the Gabor-SVM method, histogram-SVM, grayscale symbiotic matrix -SVM, canny-SVM algorithm were adopted to identify the damage degree of cement surface in the same environment, and these …damage recognition rates are compared with Gabor-SVM’s. The experimental results show that the damage recognition model, based on Gabor-SVM, tends to better stable value when the wavelet takes 6 scale and 12 directions. The recognition rate of the normal slope is 0.98, while the recognition rate of the crack, hole, and broken slope are 0.63, 0.88 and 0.90, respectively. Overall, the damage recognition model, based on Gabor-SVM, has better recognition effect, and it will provide technical support for finding potential leakage hazards in the high fill channel of South-to-North Water Diversion Project. Show more

Keywords: Key words: Middle route of South-to-North Water Diversion Project, Feature extraction of multiple scales and directions, damage recognition, Gabor wavelet, support vector machine

DOI: 10.3233/JIFS-190767

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4237-4246, 2020

Authors: Gao, Rong | Zhang, Zanmei

Article Type: Research Article

Abstract:  With resource exhaustion and environmental problems becoming more and more serious, green supply chain management attracts the attention of enterprises and scholars. For a new type of environmental-friendly product in this supply chain, we have no enough historical data to refer the demand. Hence, uncertainty theory is introduced as a tool to characterize the uncertainty of demand. Then this paper investigates the pricing, green degree and sales effort decisions in a green supply chain with a manufacturer and a retailer, where the demand of the product is described by uncertain variable. Considering the different power structures of supply chain, we …build three expected value models and obtain equilibrium solutions, respectively. Then we analyze the influences of uncertain parameters and different power structures on decisions and profits. The results show that the green degree coefficient and sales effort coefficient have positive influences on the pricing, green degree and sales effort. Moreover, the results also show that decision leaders do not necessarily make more profits, which is up to the weights of green degree and sales effort. In addition, numerical analyses are given to show the correctness of results. Show more

Keywords: Green supply chain management, pricing decision, uncertain demand, uncertainty theory

DOI: 10.3233/JIFS-190783

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4247-4264, 2020

Authors: Shokri, Javad | Park, Choonkil

Article Type: Research Article

Abstract:  We establish some stability results concerning the 2-dimensional vector variable quadratic functional equation f ( x + y , z + w ) + f ( x - y , z - w ) = 2 f ( x , z ) + 2 f ( y , w ) in non-Archimedean L * -fuzzy normed spaces.

Keywords: ℒ*-fuzzy metric and normed space, Hyers-Ulam stability, quadratic functional equation, non-Archimedean ℒ*-fuzzy normed space

DOI: 10.3233/JIFS-190802

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4265-4272, 2020

Authors: Madura Meenakshi, R. | Padmapriya, N. | Venkateswaran, N.

Article Type: Research Article

Abstract: This paper proposes a noise removal algorithm to improve the quality of images captured by IR thermal cameras. Due to atmospheric disturbances and the temperature reflected from the surrounding objects, IR images are generally noisy. For removal of noise in IR thermal images the proposed algorithm has two stages. In the first stage, a support vector machine incorporated with fuzzy logic (FSVM) is used to obtain noise pixels from the thermal image and in the second stage an adaptive directional weighted median filter (ADWMF) is applied to restore noisy pixels. Our proposed algorithm is compared with another fuzzy- logic based …noise classification technique, namely the adaptive fuzzy inference based directional median filter (AFIDMF). Simulation results indicate that the performance of the proposed filter is better, compared to AFIDMF based on the measures such as peak signal to noise ratio (PSNR) and structural similarity index (SSIM). Show more

Keywords: IR thermal images, fuzzy membership, fuzzy inference system, support vector machine, directional weighted median filter

DOI: 10.3233/JIFS-190860

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4273-4286, 2020