Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Purchase individual online access for 1 year to this journal.
Price: EUR 315.00Impact Factor 2024: 1.7
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: Awodutire, Phillip Oluwatobi | Sule, Ibrahim
Article Type: Research Article
Abstract: In this work, a new family of distribution, which generalizes the Beta Weibull-G family by the introduction of a shape parameter to enhance better fit and flexibility, called the Modified Beta Weibull-G family of distributions is obtained. The mixture representation of the derived family of distributions was discussed, with the results effective in studying moments, moment generating functions, order statistics. Parameters of the family of distributions were estimated using the maximum likelihood estimation method. By utilizing this modified class of distributions, we build a new distribution called the modified beta Weibull Weibull and applied it to engineering datasets. Application revealed …a better performance in model fit, compared to some other distributions. Show more
Keywords: Modified Beta-G Distribution, Weibull-G, Modified Beta Weibull G distribution, estimation, real life data
DOI: 10.3233/JIFS-223042
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2835-2850, 2024
Authors: Che, Gaofeng | Yu, Zhen
Article Type: Research Article
Abstract: This work investigates trajectory-tacking control problem for underactuated autonomous underwater vehicles (AUV) with unknown dynamics. Due to the unknown dynamics, an action-critic networks based adaptive dynamic programming (ADP) scheme combined with backstepping approach is designed, which can achieve high-level system stability and tracking control accuracy. Firstly, the backstepping approach is introduced into the kinematic model of underactuated AUV and produces a virtual velocity control which is taken as the desired velocity input of the dynamic model of underactuated AUV. Secondly, the error tracking system is constructed according to the dynamic model of underactuated AUV. Thirdly, the critic neural network and …the action neural network are employed to transform the trajectory-tracking control problem into optimal control problem based on policy iteration algorithm. At last simulation results are given to verify the effectiveness of the proposed control scheme. Show more
Keywords: Adaptive dynamic programming (ADP), backstepping approach, tracking control, autonomous underwater vehicle (AUV)
DOI: 10.3233/JIFS-230232
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2851-2863, 2024
Authors: Xie, Tian-Tian | Wang, Rui-Ying
Article Type: Research Article
Abstract: Connectivity is one of the most essential notions in general topology. Convex structures are topological-like structures. Many properties in topological spaces have been generalized to convex structures, such as separation. However, connectivity has not been studied in convex structures yet. In this paper, firstly, based on the consideration to hull operators, separatedness is defined in classical convex structures, and then we provide the concept of connectivity. Secondly, some equivalent characterizations of connectivity are discussed, and we investigate the related properties of connectivity. In additional, through (L , M )-fuzzy convex hull operators, we propose the separatedness degrees of (L , …M )-fuzzy convex structures. Furthermore, the notion of connectedness degrees of (L , M )-fuzzy convex structures is introduced. Finally, many properties of connectivity in general convex structures can be generalized to (L , M )-fuzzy convex structures. Show more
Keywords: Convex structure, connectivity, (L, M)-fuzzy convex structure, separatedness degree, connectedness degree
DOI: 10.3233/JIFS-232309
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2865-2876, 2024
Authors: Yan, Guangzhou | Ni, Yaodong
Article Type: Research Article
Abstract: This paper studies the pricing and low-carbon decision problems in a supply chain containing a manufacturer and a downstream retailer. The manufacturer produces a single product under the cap-and-trade scheme. We formulate the price and carbon-concerned demand function. To maximize their revenue, the manufacturer and the retailer determine their selling prices and carbon emission reduction rates separately. Due to the fast product updates speed, some parameters do not have enough historical data. For example, the sales cost of the retailer, the demand of consumers, and the total carbon emissions of manufacturers are far from frequency stability. This fact makes the …distribution function obtained in practice usually deviate from the frequency. They are all uncertain variables whose distributions are estimated from the empirical data of experts or managers. In this paper, we give three decentralized game models to explore the equilibrium behaviors in the corresponding decision environment under an uncertain environment. Corresponding analytical solutions are offered under different game scenarios. Finally, numerical experiments are performed to illustrate the effectiveness of the established models and yield some remarkable insights. Show more
Keywords: Supply chain management, Pricing decision, Cap-and-trade, Low-carbon, Stackelberg game
DOI: 10.3233/JIFS-232607
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2877-2897, 2024
Authors: Li, Shi | Zhang, Yongkang
Article Type: Research Article
Abstract: Entity linking is an important task for information retrieval and knowledge graph construction. Most existing methods use a bi-encoder structure to encode mentions and entities in the same space, and learn contextual features for entity linking. However, this type of system still faces some problems: (1) the entity embedding part of the model only learns from the local context of the target entity, which is too unique for entity linking model to learn the context commonality of information; (2) the entity disambiguation part only uses similarity calculation once to determine the target entity, resulting in insufficient interaction between the mentions …and candidate entities, and ineffective recall of real entities. We propose a new entity linking model based on graph neural network. Different from other bi-encoder retrieval systems, this paper introduces a fine-grained semantic enhancement information into the entity embedding part of the bi-encoder to reduce the specificity of the model. Then, the cross-attention encoder is used to re-rank the target mention and each candidate entity after the entity retrieval model. Experimental results show that although the model is not optimal in inference speed, it outperforms all baseline methods on the AIDA-CoNLL dataset, and has good generalization effects on four datasets in different fields such as MSNBC and ACE2004. Show more
Keywords: Entity linking, semanic reinforcement, cross-attention mechanism, graph convolutional network
DOI: 10.3233/JIFS-233124
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2899-2910, 2024
Authors: Dineshkumar, R. | Alphy, Anna | Kalaivanan, C. | Bashkaran, K. | Pattanaik, Balachandra | Logeswaran, T. | Saranya, K. | Deivasikamani, Ganeshkumar | Johny Renoald, A.
Article Type: Research Article
Abstract: Microgrids (MGs) have become a reliable power source for supplying energy to rural areas in a secure, consistent, and low-carbon emission manner. Power quality disturbance (PQD) is a common issue that reduces the MGs networks’ reliability and restricts its usage on a small scale. The performance, reliability and lifetime of the various power devices can be affected due to the problem of PQD in the network. Researchers have proposed numerous PQD monitoring techniques based on artificial intelligence. However, they are limited to low margins and accuracy. So, this paper suggests a novel hyperparameter-tuned or optimized deep learning model with an …attention-based feature learning mechanism for PQD prediction. The critical stages of the proposed work, such as data collection, feature extraction, and PQD prediction, are as follows. The PQD signals are first produced using the IEEE 1159 standard. Following that, the original time-domain features are directly recovered from the dataset, and the frequency-domain features using discrete wavelet transform (DWT). The extracted features were fed into visual geometry group 16 with multi-head attention and optimal hyperparameter-based bidirectional long short-term memory (V16MHA-OHBM) to perform spatial and temporal feature extraction. These extracted features are concatenated and given to the fully connected layer to forecast the PQD. The results showed that the suggested approach surpasses the prior state-of-the-art algorithms when trained and tested using 16 different types of synthetic noise PQD data produced using mathematical models in line with IEEE 1159. Show more
Keywords: Micro-grids, power quality disturbance, PQD prediction, data acquisition, IEEE 1159
DOI: 10.3233/JIFS-233263
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2911-2927, 2024
Authors: Jiang, Jianming | Ban, Yandong | Li, Jiayi | Zhou, Yane
Article Type: Research Article
Abstract: Accurate prediction of the aging population can provide valuable reference and corresponding theoretical support for the adjustment of national population development policy and economic development strategy. To explore the future development trend of China’s aging population, this paper establishes a novel fractional grey prediction model with the time power term (abbreviated as FGM (1, 1, t α ) model) to study China’s aging population. FGM (1, 1, t α ) has the properties of fractional order accumulation operation and GM (1, 1, t α ) model, which makes it good at capturing nonlinear features in time series. …Furthermore, the quantum genetic algorithm is used to search for unknown parameters in the model to facilitate the solving task of the model. Data on China’s aging population from 2000 to 2009 are used to train the prediction models, and data from 2010 to 2019 are used to evaluate the models’ prediction performance. The results show that the FGM (1, 1, t α ) model outperforms the other competing models, which means that it has good generalization. Finally, the FGM (1, 1, t α ) model is used to forecast China’s aging population from 2020 to 2029. Show more
Keywords: Grey system theory, grey prediction model, china’s elderly population, simpson formula, fractional order accumulation
DOI: 10.3233/JIFS-234205
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2929-2939, 2024
Authors: Sri Vinitha, V. | Renuka, D. Karthika
Article Type: Research Article
Abstract: Spam Email is a serious concern which can steal user’s personal information and cause huge financial loss due to the increasing rate of internet users. Therefore, the demand for accurate spam filtering has become more sophisticated for the Email spam detection. In the existing techniques, it is difficult to intricate the relationship between words in the Email using certain word embedding techniques and learning rate tuning is one of the greatest challenges of stochastic optimization. To overcome this difficulty, the proposed framework uses diverse ensemble based Email spam classification by incorporating multiple word embedding’s with Continuous Coin Betting optimizer. Word2Vec …is used to produce the first set of 200D, next set of 200D word embedding is produced by Glove and 768D is produced by using Bidirectional Encoder Representations from Transformers (BERT) respectively. After generating word embedding, then it is classified through diverse ensemble based classifier with base level classifier consists of Long Short Term Memory (LSTM) Networks, Gated Recurrent Unit (GRU) and Bi-directional Gated Recurrent Unit (Bi-GRU) and LSTM as Meta-classifier using COCOB optimizer. Experiments were conducted on 3 benchmark Email dataset and result shows that the proposed system outperforms well with a low false positive rate. Show more
Keywords: Word2Vec, bidirectional encoder representations from transformers, global vectors, gated recurrent unit, bi-directional gated recurrent unit, long short term memory, continuous coin betting
DOI: 10.3233/JIFS-235464
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2941-2954, 2024
Authors: Hu, Kuang-Hua | Chen, Fu-Hsiang | Zeng, Jhih-Hong | Lin, Sin-Jin
Article Type: Research Article
Abstract: Blockchain technology holds considerable amount of potential for all types of industries by executing transactions in a verifiable, efficient, and permanent channel. It has been widely viewed as a standard requirement for making industry ready for the future, but when it comes to practical applications, it still arouses numerous risks/challenges that need to be addressed. Therefore, it is essential to address this gap and establish a comprehensive and effective practical framework to align the information technology revolution with sustainable value creation. The purpose of this research is to realize to what extent an enterprise legacy system’s transformation benefits a blockchain-based …system and to minimize its specific risk through a hybrid fuzzy MRDM (multiple rule-based decision making) model that integrates data envelopment analysis with rough set theory (DEA-RST) and the fuzzy DEMATEL approach grounded on a questionnaire derived from domain experts. We aim to point out the inherent risks of blockchain-based technology adoption and to assist senior engineers in designing or adopting a suitable architecture for practical operation and planning of any future integration and development. The potential risk evaluation of business blockchain adoption reveals that the priority improvement sequence based on dimensions is smart contract risk, value transfer risk, and standard risk. Furthermore, law and regulation are the most critical criteria. Show more
Keywords: Blockchain-based technology adoption risk, decision making, multiple rule-based decision making, data envelopment analysis, risk management
DOI: 10.3233/JIFS-223381
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2955-2969, 2024
Authors: Li, Dan | Chen, Ming | Peng, Kaixiang | Wu, Libing
Article Type: Research Article
Abstract: As for the problem of trajectory tracking of a multi-joint serial manipulator, a novel fixed-time control scheme is proposed based on non-singular fast terminal sliding mode control. By employing a fast terminal sliding mode surface, we solve the singularity problem existed in traditional terminal sliding mode surface. In the meantime, in order to improve the rapidity of the system, the fixed-time control is incorporated with the fast terminal sliding mode surface control. Theoretical analysis proves that the proposed control scheme guarantees that better tracking performance is obtained, and its convergence time upper limit is not affected by the initial states. …In addition, a reaching law with the exponential approach characteristic is added to the control law, which effectively reduces the chattering phenomenon in the controller design. Finally, the effectiveness and feasibility of the designed controller are verified through a numerical simulation. Show more
Keywords: Fixed-time control, non-singular fast terminal sliding mode, trajectory tracking
DOI: 10.3233/JIFS-231664
Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 2971-2979, 2024
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]