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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: Chen, Xu
Article Type: Research Article
Abstract: With the rapid development of China’s construction industry, the competition in the construction industry is becoming increasingly fierce. Enterprises need to continuously improve their competitiveness in the market. Some non-core businesses can be outsourced to professional contractors. At present, contractors have more and more influence on the operation and development of enterprises. Whether it is the construction period or the quality of the project, it will have a greater impact on the operation of the construction project. In the environment of increasingly fierce market competition and increasing project quality requirements, for the construction project contracting enterprises, in order to achieve …the goal of low cost and high quality, it is necessary to select the most suitable contractor on the basis of comprehensive consideration of multiple factors. The construction enterprise contractor selection is a classical multiple attribute group decision making (MAGDM) problem. In recent years, the MAGDM problem has become an important research field in modern decision science. This paper extends the EDAS method to the 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs). On the basis of the original EDAS method, 2-tuple linguistic Pythagorean fuzzy EDAS (2TLPF-EDAS) is built for MAGDM. Finally, a case study for construction enterprise contractor selection and some comparative analysis with the other methods show that the new method proposed in this paper is effective, reasonable and accurate. Show more
Keywords: Multiple attribute group decision making (MAGDM), 2-tuple linguistic Pythagorean fuzzy sets (2TLPFSs), EDAS method, construction enterprise contractor selection
DOI: 10.3233/JIFS-231063
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3233-3245, 2023
Article Type: Research Article
Abstract: A key component of cognitive radio technology is spectrum sensing, which finds and accesses unused frequency bands to efficiently use the underutilized spectrum. A potential method for spectrum sensing called cyclostationary feature detection (CFD) uses the cyclostationary characteristics of signals to distinguish between the signal and noise. Artificial neural networks (ANNs) have been suggested in recent years as a method for CFD based spectrum detection, which increases detection accuracy and decreases complexity. However, the variable signal to noise ratio (SNR) and noise variance have an impact on the effectiveness of ANNs for CFD-based spectrum sensing. The effectiveness of ANNs for …CFD based spectrum sensing under different SNR and noise variance conditions is evaluated in this work for the determination of threshold value in a dynamic way. We look into how SNR and noise variance affect the precision of probability of detection (Pd) and system complexity. Out analysis show how well ANNs work for CFD based spectrum detection with dynamic threshold value in the presence of changing SNR and noise variation. The findings demonstrate that ANNs may still obtain high Pd values with low SNR and large noise variance while maintaining a modest level of system complexity. According to our research, for a variety of SNR and noise variance situations, ANNs may be a viable option for CFD based spectrum detection in cognitive radio (CR) networks. The proposed approach can significantly improve the detection accuracy and reduce the complexity of the system, thereby enhancing the overall performance of cognitive radio networks. Based on the proposed work, it is determined that MPSK modulation function well with additive white Gaussian noise (AWGN), Rayleigh, and Rician channels up to a lower SNR value of – 30 dB and MQAM supports a lower SNR value of up to – 20 dB. Show more
Keywords: Cyclostationary feature detection, ANN, varying SNR, noise variance, dynamic thresholding, probability of detection
DOI: 10.3233/JIFS-232610
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3247-3257, 2023
Authors: Wei, Lin
Article Type: Research Article
Abstract: Blended teaching, which combines the advantages of face-to-face teaching and online learning, has become an important breakthrough in the current higher education teaching reform and innovation, and the construction of a blended teaching quality evaluation in college English courses system is of great significance and value to ensure the sustainable development of blended teaching activities. The blended teaching quality evaluation in college English courses is regarded as the defined multiple attribute decision making (MADM). In this paper, the Combined Compromise Solution (CoCoSo) method is constructed for MADM under double-valued neutrosophic sets (DVNSs). Then, the double-valued neutrosophic numbers CoCoSo (DVNN-CoCoSo) method …is built for MADM. Finally, a practical numerical example for blended teaching quality evaluation in college English courses is supplied to show the DVNN-CoCoSo method. The main contributions of this constructed paper are: (1) This paper builds the novel MADM method based on CoCoSo decision methods under DVNSs, which extends the classification CoCoSo method. (2) The new MADM method for blended teaching quality evaluation in college English courses based on DVNN-CoCoSo is proposed. Show more
Keywords: MADM, double-valued neutrosophic sets (DVNSs), CoCoSo method, blended teaching quality evaluation
DOI: 10.3233/JIFS-224389
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3259-3266, 2023
Authors: Lei, Yingzi
Article Type: Research Article
Abstract: The goal of internationalization, the actual needs of the new generation of college students, and the innovation of information technology have led to a shift from teaching English for general purposes (EGP) to teaching English courses. The blended teaching effectiveness evaluation of English courses in universities in an output-oriented perspective is viewed as the multiple attribute decision making (MADM). In this paper, Taxonomy method is designed for MADM under interval neutrosophic sets (INSs). Then, the interval neutrosophic numbers Taxonomy (INN-Taxonomy) method is formed to cope with MADM problem. Finally, a numerical decision example for blended teaching effectiveness evaluation of English …courses in universities in an output-oriented perspective is given to demonstrate the INN-Taxonomy method. Show more
Keywords: MADM, interval neutrosophic sets (INSs), taxonomy method, blended teaching effectiveness evaluation
DOI: 10.3233/JIFS-224475
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3267-3277, 2023
Authors: Zhang, Xin | Feng, Tao | Zhang, Shao-Pu
Article Type: Research Article
Abstract: Rough set theory is a powerful tool for handling uncertainty and vagueness in various fields. The hesitant fuzzy rough set, as a generalization of rough sets, can solve more complex problems. However, existing hesitant fuzzy rough sets do not satisfy the inclusive property. To address this issue, a novel hesitant fuzzy rough set model based on dual score functions is proposed. Four generalized hesitant fuzzy rough sets and their discernibility matrices are also presented. Additionally, the lower approximation distribution reductions can be obtained by the discernibility matrix. Meanwhile, hypergraphs provide an accurate description of relationships between multiple objects and offer …a concise operational approach. Then it is discovered that finding the lower approximation distribution reductions of a hesitant fuzzy decision system is equivalent to finding the minimal transversals of its hypergraph. Moreover, an improved algorithm for hesitant fuzzy decision systems based on hypergraphs is presented to accelerate the reduction process. Finally, the proposed algorithm is applied to the hybrid data of Hepatitis C Virus from UCI to demonstrate its feasibility. Show more
Keywords: Attribute reduction, hesitant fuzzy rough set, hypergraph, hesitant fuzzy decision system, approximation operator
DOI: 10.3233/JIFS-230460
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3279-3304, 2023
Authors: Wang, Rong | Rong, Xia
Article Type: Research Article
Abstract: With the rapid development of society, ideological and political education courses have occupied a very important position in various courses in major universities, playing a series of important functions and roles in student quality education, excellent quality cultivation, and other aspects. In the new era, the evaluation and assessment of ideological and political education quality is not only the primary factor to improve the teaching quality of ideological and political education courses in universities, but also an important means to promote the deepening reform of ideological and political education. However, there are many problems in the process of evaluating the …quality of ideological and political education in colleges and universities at present, such as the deviation in understanding the importance of evaluation, the relatively single evaluation method, and the low quality of application of evaluation results. The teaching quality evaluation of ideological and political courses in universities is a classical multiple attribute group decision making (MAGDM). Spherical fuzzy sets (SFSs) provide more free space for decision makers (DMs) to express preference information during the teaching quality evaluation of ideological and political courses in universities. Therefore, this paper we first extend partitioned Maclaurin symmetric mean (PMSM) operator and IOWA operator to SFSs and develop induced spherical fuzzy weighted PMSM (I-SFWPMSM) operator. Subsequently, a new MAGDM method is established based on I-SFWPMSM operator and SFNWG operator under SFSs. Finally, a numerical example for teaching quality evaluation of ideological and political courses in universities is used to illustrate the proposed method. Show more
Keywords: Multiple attribute group decision making (MAGDM), spherical fuzzy sets, I-SFWPMSM operator, teaching quality evaluation
DOI: 10.3233/JIFS-231714
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3305-3319, 2023
Authors: Zhang, Xingfu
Article Type: Research Article
Abstract: There is a huge number of small and medium-sized enterprises in China, playing an important role in the development of the market economy and being the main body of the real economy. The products and services they create account for more than half of the gross domestic product. At present, China’s economy is gradually transitioning from a stage of rapid growth to a stage of high-quality development, and it is necessary to further stimulate its innovation drive and release innovation energy. As a component of the national economy, achieving high-quality development of small and medium-sized enterprises has become one of …China’s important strategic tasks. At present, the construction of the innovation service system for small and medium-sized enterprises in China is still in the initial stage, and there are still certain problems in the construction that need to be further improved. The core competitiveness evaluation of small and medium sized enterprises is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and TOPSIS method has been used to cope with MADM issues. The hesitant triangular fuzzy sets (HTFSs) are used as a tool for characterizing uncertain information during the core competitiveness evaluation of small and medium sized enterprises. In this manuscript, the hesitant triangular fuzzy TODIM-TOPSIS (HTF-TODIM-TOPSIS) method is built to solve the MADM under HTFSs. In the end, a numerical case study for core competitiveness evaluation of small and medium sized enterprises is given to validate the proposed method. Show more
Keywords: Multiple attribute decision making (MADM), Hesitant triangular fuzzy sets (HTFSs), TODIM, TOPSIS, core competitiveness evaluation
DOI: 10.3233/JIFS-232839
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3321-3331, 2023
Authors: Huang, Lixun | Sun, Lijun | Chen, Tianfei | Zhang, Qiuwen | Huo, Linlin | Liu, Weihua
Article Type: Research Article
Abstract: Hold-up compensation decelerates the convergence of iterative learning control (ILC) systems with data dropouts and time delays. Only depending on the prior knowledge of both ILC controllers and transmission channels, this paper develops a predictor to calculate the input not received on time due to data dropouts and time delays. First, a controller adopting the proportional learning strategy is considered directly, which is appropriate for objects in ideal communication conditions. After that, two data-receiving equations are given to describe the effect of data dropouts and one-step time delays. Finally, a predictor is designed according to the innovation analysis approach. Since …the prediction uses all historical input at the identical time index in previous iterations, the predicted input is more approximate to the one not received on time than the input held up for compensation. Simulation results show the object with prediction compensation tracks the expected trajectory faster than that with input-hold compensation. Show more
Keywords: Iterative learning control, convergence, input predictor, data dropout, time delay
DOI: 10.3233/JIFS-223074
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3333-3344, 2023
Authors: Jafari, Aya | Al-Mousa, Amjed | Jafar, Iyad
Article Type: Research Article
Abstract: The advent use of smart devices has enabled the emergence of many applications that facilitate user interaction through speech. However, speech reveals private and sensitive information about the user’s identity, posing several security risks. For example, a speaker’s speech can be acquired and used in speech synthesis systems to generate fake speech recordings that can be used to attack that speaker’s verification system. One solution is to anonymize the speaker’s identity from speech before using it. Existing anonymization schemes rely on using a pool of real speakers’ identities for anonymization, which may result in associating a speaker’s speech with an …existing speaker. Hence, this paper investigates the use of Generative Adversarial Networks (GAN) to generate a pool of fake identities that are used for anonymization. Several GAN types were considered for this purpose, and the Conditional Tabular GAN (CTGAN) showed the best performance among all GAN types according to different metrics that measure the naturalness of the anonymized speech and its linguistic content. Show more
Keywords: Speaker anonymization, voice privacy, generative adversarial networks, CTGAN, x-vector
DOI: 10.3233/JIFS-223642
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3345-3359, 2023
Authors: Shen, Xin | Xu, Qianhui | Liu, Qiao | Leibercht, Markus
Article Type: Research Article
Abstract: With the acceleration of technological change and globalization, companies face increasing environmental uncertainty and complexity. The COVID-19 pandemic has severely damaged the global supply chain and aggravated the operational risks of supply chains. Industry and academia have conducted studies on the construction of resilient and integrated supply chains, and to date a bulk of empirical literature has already been accumulated. A notable feature of existing literature is the heterogeneity in the characterization of the relationship between supply chain resilience, supply chain integration, and supply chain performance. In this study meta-analysis and structural equation modeling (MASEM) methods are integrated to construct …a theoretical framework of supply chain resilience, supply chain integration, and supply chain performance. 45 empirical studies (73 effect size data, 2092 samples) are selected from 10,623 papers published over the years 2013 to 2021 to explore the transmission mechanisms, the role of mediator variable, and boundary conditions of the relationship between supply chain resilience and supply chain performance. The results show that supply chain resilience can promote supply chain performance. Moreover, supply chain integration (supplier integration, internal integration, and customer integration) plays a partial mediating role for the impact of supply chain resilience on supply chain performance. Situations and measurement factors such as industry type, national culture (power distance), sampling area, and logistics performance have a certain impact on the relationship, and the usage of different indicators may lead to marked differences in conclusions regarding the relationship. By extracting the conclusions of existing empirical studies, this study proposes new insights into the mechanism of action of supply chain resilience, supply chain integration, and supply chain performance and provides specific suggestions for future supply chain management. Show more
Keywords: Supply chain resilience, supply chain integration, supply chain performance, meta-analysis, structural equation model
DOI: 10.3233/JIFS-220649
Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 2, pp. 3361-3377, 2023
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