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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Zivic, Natasa | Ur-Rehman, Obaid
Article Type: Research Article
Abstract: An algorithm for improved error correction of the data protected using standard security mechanisms, like Message Authentication Codes, is introduced in this paper. Images are taken as example data, and the correction of images using the additionally available authentication data is investigated. Parts of the protected image, the so called “landmarks”, are considered as the Region of Interest and protected by their respective authentication tags. An iterative process is used as a basis for the learning ability of the algorithm: in every iteration, parts of the decoder’s Trellis path are learned by the algorithm, thereby improving the channel decoding results. …In this way, the knowledge gained in the previous iterations of the algorithm is used in the current iteration for further improvement of decoding results. Additionally, iterative processes used for error corrections are supported by authentication tags, which are used as a measure of correction success. Simulation results for images are presented to show the effectiveness of the proposed algorithm. A security analysis of the proposed algorithm is also given in the paper. Show more
Keywords: Iterative process, learning iterations, landmark authentication, image authentication, message authentication codes, region of interests, turbo codes, trellis diagram
DOI: 10.3233/JIFS-190234
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1841-1854, 2020
Authors: Yang, Hanbiao | Zeng, Daocheng
Article Type: Research Article
Abstract: In this paper, for a non-degenerate convex set Y in R n containing 0 , two special function spaces S 0 (Y ) and E 0 (Y ) which consist of all fuzzy star-shaped numbers and of all fuzzy numbers in R n with respect to 0 and their supports being included in Y with the endograph metric D are investigated. Some conclusions and methods in topology are used to discuss the topological structure of (S 0 (Y ) , D ) and the pair ((S 0 (Y ) , …D ) , (E 0 (Y ) , D )). The main results are as follows: 1. The space (S 0 (Y ) , D ) is homeomorphic to the Hilbert cube Q = [-1, 1] N if and only if S 0 (Y ) is compact if and only if Y is compact. 2. There exists a homeomorphism h : (S 0 (Y ) , D ) → Q such that h (E 0 (Y )) = {1} × [-1, 1] N \{1} if Y is compact but not a segment. 3. The space (S 0 (Y ) , D ) homeomorphic to the pseudoboundary of the Hilbert cube if and only if S 0 (Y ) is non-compact and σ -compact if and only if Y is non-compact and locally compact. Show more
Keywords: Fuzzy star-shaped numbers, fuzzy numbers, the endograph metric, the Hilbert cube, the pseudoboundary of the Hilbert cube
DOI: 10.3233/JIFS-190272
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1855-1864, 2020
Authors: Li, Ailing | Zhang, Jixiong | Zhou, Nan | Li, Meng | Zhang, Weiqing
Article Type: Research Article
Abstract: Nowadays, the pattern of global industrial competition is undergoing significant adjustment. As the basic energy industry in the development of national economy, the traditional coal industry is gradually becoming intellectualized to seek for a safe and efficient production mode. According to review of the current researches about the intelligent mine, most of them focused on the intellectualization of particular businesses, while the overall development of intelligent mines was rarely mentioned, and there were very few researches on the evaluation criteria of intelligent mines. Therefore, to evaluate the production system of an intelligent mine both reasonably and effectively, an evaluation index …system was established by considering “eight systems” involved in the production setup of the intelligent mine. In addition, the weights for all the evaluation indexes were determined using an analytic hierarchy process (AHP). An evaluation model was built using unascertained measurement theory, and the unascertained measurements of each index were calculated. Finally, credible degree recognition criteria were used to determine the intelligence levels. The intelligent production system was evaluated using the 11504W working face in the Zhaizhen Coal Mine in Taian City, Shandong Province, China as an example of a practical application. The judgment results show that the coal mine is relatively intelligent, thus the feasibility of the evaluation model was verified, which provides a scientific basis for evaluating intelligent mines. Show more
Keywords: Unascertained measurement, intelligent production system, analytic hierarchy process, evaluation model, credible degree recognition
DOI: 10.3233/JIFS-190329
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1865-1875, 2020
Authors: Nguyen, Vi H. | Nguyen, Hung Q. | Tran, Thanh T.
Article Type: Research Article
Abstract: A systematic approach is presented for nonlinear control design of roll-to-roll (R2R) dynamic system for printed electronics manufacturing technology. Control design is firstly proposed for a general multi-output multi-input (MIMO) strict-feedback class of nonlinear dynamic systems. The approach starts with formulation of integrator-backstepping control (IBSC) law for the system by introducing a modified tracking error, which is structured by adding an integrator of normal tracking error in state coordinate transformation. Considering each subsystem of control design process via a chosen Control Lyapunov function (CLF) and parameter assignment results in an IBSC law. Then, an IBSC law-based control strategy is provided …for the design model. Web velocity and tension control of nonlinear R2R web dynamics is applied by using the the proposed method. Dynamic analysis is made to transform a general nonlinear R2R web dynamics into a standard MIMO strict-feedback form for control analysis and design. With the achieved model, an IBSC-based control algorithm is provided for the study of numerical simulation and experiment. Control software is developed using the Labview FPGA on PXI platform for implementing studies of numerical simulation and experiment to validate the reliability and feasibility of the proposed method. Show more
Keywords: R2R manufacturing, printed electronics, integrator-backstepping control, strict-feedback system
DOI: 10.3233/JIFS-190368
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1877-1888, 2020
Authors: Wu, Zezhong | Song, Fei
Article Type: Research Article
Abstract: In this paper, we mainly introduced the invexity and generalized invexity of n-dimensional fuzzy number-valued functions based on the new ordering which defined by Gong and Hai in [9 ]. Simultaneously, we discussed the relationship between semicontinuous and preinvex fuzzy number-valued functions, and some properties among invexity and generalized invexity of n-dimensional fuzzy number-valued functions. Finally, we studied the necessary and sufficient conditions for weakly efficient point of fuzzy optimization.
Keywords: Invex fuzzy number-valued functions, n-dimensional fuzzy number, fuzzy optimization, semicontinuity, Gordan’s Theorem
DOI: 10.3233/JIFS-190370
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1889-1900, 2020
Authors: León-Castro, Ernesto | Espinoza-Audelo, Luis F. | Merigó, José M. | Gil-Lafuente, Anna M. | Yager, Ronald R.
Article Type: Research Article
Abstract: This paper introduces the ordered weighted average inflation (OWAI). The OWAI operator aggregates the information of a set of inflations and provides a range of scenarios from the minimum and the maximum inflation. The advantage of this approach is that it can provide a flexible inflation formula that can be adapted to the specific characteristics of the enterprise, region, state or country. Therefore, the novelty of this operator is that experts can forecast the information and provide optimistic or pessimistic results of the expected average inflation according to the knowledge, aptitude or expectations for the whole country or an event …that represents a specific sector, market or industry. The paper develops several extensions by using the induced, heavy and prioritized aggregation operators. The work studies the applicability of the operator to the analysis of Mexican inflation by developing some aggregation systems that consider the average inflation of Mexico. Show more
Keywords: Inflation, induced aggregation operators, economics, Mexico
DOI: 10.3233/JIFS-190442
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1901-1913, 2020
Authors: Hailemichael, Abel | Salaken, Syed Moshfeq | Karimoddini, Ali | Homaifar, Abdollah | Abbas, Khosravi | Nahavandi, Saeid
Article Type: Research Article
Abstract: Type-2 fuzzy logic controllers are capable of handling different types of uncertainties that naturally exist in most practical situations. However, the high computation cost of type-2 fuzzy logic controllers is a bottleneck for practically applying them to real-world applications. This paper introduces a novel approach for designing a computationally effective type-2 fuzzy logic controller. For this purpose, on the antecedent side, interval type-2 fuzzy sets are employed to capture the signal readings, which significantly reduce the computation costs while preserving the major advantages of general type-2 fuzzy logic systems. On the consequent side, however, the Takagi-Sugeno-Kang (TSK) technique is integrated …with the proposed controller to render the control outputs in a parallel way. To further reduce the computation cost, the theory of uncertainty bounds is employed for the output processing of the proposed controller. To develop this control structure, a decomposition technique is integrated to break down the original type-2 fuzzy processes into type-1 and take advantage of type-1 fuzzy techniques, followed by an aggregation mechanism to calculate the collective output. The approach is applied to the control of an inverted pendulum and cart model. The simulation results of the developed interval type-2 fuzzy logic controller is compared with a type-1 TSK fuzzy logic controller and a classical proportional derivative (PD) controller. From the results, we have found a 16.6% and 23.3% improvement in Root Mean Square (RMS) error compared to type-1 TSK fuzzy logic controller and classical PD controller, respectively. Show more
Keywords: Interval type-2 fuzzy logic controller, TSK fuzzy logic controller, uncertainty bounds output processing
DOI: 10.3233/JIFS-190446
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1915-1928, 2020
Authors: Wang, Huan-Huan | Tian, Sheng-Wei | Yu, Long | Wang, Xian-Xian | Qi, Qing-Shan | Chen, Ji-Hong
Article Type: Research Article
Abstract: A convolutional neural network combined with attention mechanism and a parallel joint algorithm model (CATTB) of bidirectional independent recurrent neural network are proposed. The algorithm extracts the relocation feature and the “texture fingerprint” feature for expressing the similarity of the URL (Uniform Resource Locator) binary file content of the malicious web page, and uses the word vector tool word2vec to train the URL word vector feature and extract the URL static vocabulary feature. CNN (Convolutional Neural Network) is used to extract deep local features. Secondly, Attention mechanism adjusts weight and BiIndRNN (Bidirectional Independently Recurrent Neural Network) to extract global features. …Finally, softmax is used for classification. This paper extracts more comprehensive features from different angles and using different methods. The experimental results show that the test results are higher than other researchers, and compared with other algorithms, the proposed CATTB algorithm improves the accuracy of malicious web page detection. Show more
Keywords: Malicious webpages, convolutional neural network, attention mechanism, bidirectional independently recurrent neural network
DOI: 10.3233/JIFS-190455
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1929-1941, 2020
Authors: Al Sariera, Thamer Mitib | Rangarajan, Lalitha | Amarnath, R.
Article Type: Research Article
Abstract: Diabetic retinopathy (DR) is a chronic disease of the retinal microvasculature which leads to loss of central visual acuity. Early detection of hard exudates in retinal images using computer aided tool helps the ophthalmologist to diagnose the blindness problem. This article presents a novel method to detect and classify the hard exudates in retinal images. For detection, the optic disc (OD) of the retinal image is masked and then the bright patches that contribute to hard exudates are segmented based on thresholding and morphological reconstruction techniques. Here OD is identified using brightness and variance features of the OD followed by …Circular Hough Transformation. For classification, features such as color, size, and texture are extracted from each segmented candidate regions based on these features and the regions are classified by using multilayered perceptron neural network (MLP). The proposed method is experimented on the DIARETDB1 retinal dataset and also compared with the existing methods. Show more
Keywords: Diabetic retinopathy (DR), microvasculature, hard exudates, morphological reconstruction, DIARETDB1
DOI: 10.3233/JIFS-190492
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1943-1949, 2020
Authors: Zhao, Pengjun | Liu, Sanyang
Article Type: Research Article
Abstract: Symbiotic organisms search (SOS) algorithm is a nature-inspired meta-heuristic algorithm, which has been successfully applied to solve a wide range of benchmarks and real-world optimization problems. In this paper, an extended version of SOS, namely symbiotic organisms search with perturbed global crossover operator (PGCSOS), is introduced to enhance the performance of the basic SOS. In parasitism phase, an organism can benefit from other organisms that are better than it, and a perturbed crossover scheme is incorporated into the parasitism phase, which aims at maintaining the trade-off between exploration and exploitation effectively, and preventing the current best solution from getting trapped …into local optima. The performance of PGCSOS is assessed by solving global optimization functions with different characteristics and real-world problems. Compared to the SOS, modified SOS and other promising heuristic methods, numerical results reveal that the PGCSOS has better optimization performance. Show more
Keywords: Symbiotic organisms search, perturbed global crossover operator, exploration, exploitation
DOI: 10.3233/JIFS-190546
Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1951-1965, 2020
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