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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: Ahmed, Dliouah | Dai, Binxiang | Mostafa Khalil, Ahmed
Article Type: Research Article
Abstract: This paper aims to introduce a new multiple attribute decision-making model named possibility Fermatean fuzzy soft set (PFFSS), which is a combination of the generalized fuzzy soft sets and Fermatean fuzzy sets. Some operations and properties of the new model, including complement, restricted union, and extended intersection are discussed. Further, an application of PFFSSs is modeled for multiple attribute decision-making and solved with the help of our newly launched algorithm, that is, the selection of the best eco-system model based on a computer simulation report. Finally, a comparative analysis between the initiated PFFSS model and some existing approaches is provided …to show its reliability over them. Show more
Keywords: Fermatean fuzzy set, possibility Fermatean fuzzy soft set, algorithm, multiple attribute decision-making
DOI: 10.3233/JIFS-221614
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1565-1574, 2023
Authors: Zhang, Bei | Zhou, Chang-Jie | Yao, Wei
Article Type: Research Article
Abstract: Let L be a commutative unital quantale. For every L -fuzzy relation E on a nonempty set X , we define an upper rough approximation operator on L X , which is a fuzzy extension of the classical Pawlak upper rough approximation operator. We show that this operator has close relation with the subsethood operator on X . Conversely, by an L -fuzzy closure operator on X , we can easily get an L -fuzzy relation. We show that this relation can be characterized by more smooth ways. Without the help of the lower approximation operator, L …-fuzzy rough sets can still be studied by means of constructive and axiomatic approaches, and L -fuzzy similarities and L -fuzzy closure operators are one-to-one corresponding. We also show that, the L -topology induced by the upper rough approximation operator is stratified and Alexandrov. Show more
Keywords: L-fuzzy rough set, commutative unital quantale, L-fuzzy similarity, upper rough approximation operator, L-fuzzy closure operator, stratified Alexandrov L-topology
DOI: 10.3233/JIFS-221896
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1575-1584, 2023
Authors: Jin, Ting | Zhu, Yuanguo | Shu, Yadong | Cao, Jing | Yan, Hongyan | Jiang, Depeng
Article Type: Research Article
Abstract: This paper discusses an uncertain time optimal control problem by considering time efficiency, which is to optimize the objective function about the first hitting time subject to uncertain differential equations. According to the definition of the α-path, the uncertain time optimal control problem is transformed into an equivalent deterministic optimal control problem. Two kinds of time optimal control models are presented where optimistic value and reaching index are chosen as the optimality criteria, respectively. Applying the proposed uncertain optimal control model to a portfolio selection problem, we obtain the uncertainty distribution of the first hitting time (the investors’ first profit …time). Meanwhile, sufficient conditions of the optimal control strategy of such models are provided. Numerical simulations are provided which reveal the change for our optimal control strategy. Show more
Keywords: Uncertainty optimal control, first hitting time, portfolio selection, optimistic value, reaching index
DOI: 10.3233/JIFS-222041
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1585-1599, 2023
Authors: Wang, Yan | Han, Jianfeng | Guo, Ziqi
Article Type: Research Article
Abstract: Automated micro-expression recognition has become a research highlight in the emotion recognition field. Recent works proposed an LCBP (Local Cube Binary Pattern) method for micro-expression recognition and made full use of spatiotemporal features to represent micro-expressions. Nevertheless, LCBP misses the features while ignoring the underlying discriminative information. In this paper, we present an LCBP-STGCN (Local Cube Binary Pattern Spatial-Temporal Graph Convolutional Network) to resolve the problems of LCBP. A new STGCN with the ability to handle non-Euclidean structure data is proposed to extract high-level features of the micro-expression. STGCN is composed of Spatial Graph Convolutional Network (SGCN) to obtain spatial …information and Temporal Convolutional Network (TCN) to capture temporal information of micro-expression. To validly establish the spatiotemporal graph structure of SGCN, we apply ROI (Region of Interest) as node position, LCBP features as node information. By the alternating convolution of SGCN and TCN, high-level spatiotemporal features can be obtained. The extensive experiments on four spontaneous micro-expression datasets of SMIC, CASME I, CASME II, and SAMM demonstrate the proposed LCBP-STGCN can effectively recognize micro-expressions and achieve better performance than some state-of-the-arts. Show more
Keywords: Micro-expression, LCBP, graph convolutional network (GCN), recognition
DOI: 10.3233/JIFS-213079
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1601-1611, 2023
Authors: Dai, Songsong | Zheng, Jianwei
Article Type: Research Article
Abstract: In this paper, we propose a partial ordering ⪯ on the set of ordered weighted averaging (OWA) operators. Based on this relation ⪯, we introduce the negation, conjunction and disjunction operations, and establish a bounded De Morgan lattice equipped with an involutive negation for OWA operators. Finally, we develop a similarity measure between OWA operators based on the ordering ⪯.
Keywords: OWA operators, orders, lattices
DOI: 10.3233/JIFS-213214
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1613-1623, 2023
Authors: Wei, Yuanyuan | Jiang, Nan | Zhang, Zheng | Zeng, Mengxiong | Yang, Zhenkai
Article Type: Research Article
Abstract: Agent-based combat simulation is an important research method in the field of military science and system simulation. Behaviour decision model plays the key role in the design of combat simulation agents. The behaviour tree (BT) designed by nonplayer characters (NPCs) in the game provides an efficient and concise method for the construction of combat simulation agents and has been widely used. Because the rationality of BT construction directly affects the rationality of agent decision logic, designing a reasonable BT has become a crucial step. The design of the operational agent BT not only relies on rich tactical experience but also …needs to repeatedly adjust and optimize the BT according to the operational deduction and simulation results. To avoid unreasonable BT design caused by lack of experience and eliminate the process of repeated debugging, a modelling method of a combat simulation agent that combines reinforcement learning and the BT method was proposed. This method not only makes the design process of BT more automatic but also simplifies the experience requirements of the combat simulation agent designers. Experiments show that RL-BT effectively integrates the reinforcement learning method and can endow combat simulation agents with battlefield learning ability while making independent decisions. The agent based on RL-BT for decision modelling can continuously adjust and optimize the decision process through experience accumulation, and its performance in combat simulation is significantly better than that of the agent using the original BT. Show more
Keywords: Behaviour tree, reinforcement learning, Q-learning, agent modelling, combat simulation
DOI: 10.3233/JIFS-213222
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1625-1636, 2023
Authors: AL-Hossain Ahmad, AL-Nashri | Altoum, Sami H. | Elamin, Mahjoub A. | Othman, Hakeem A.
Article Type: Research Article
Abstract: In this paper, we explore the improper integral with exponential function f = x x is approached to infinite series, and also prove the convergence of these series. An improper integral converges if the limit defining it exists. We use Maple code to calculate the infinite series. The application of improper integral appear in several domain in science. As an application in this paper, three examples are given to illustrate the effectiveness of our main result.
Keywords: Improper integral, exponential function, infinite series
DOI: 10.3233/JIFS-220183
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1637-1644, 2023
Authors: Jiang, Jian | Ao, Li
Article Type: Research Article
Abstract: The Belt and Road Initiative is a major Initiative proposed by Chinese President Xi Jinping in 2013. Research on the risk prevention and control of China’s financial investment in countries along the Belt and Road has become a very hot topic in the world. This research focuses on the risk evaluation methods and prevention and control countermeasures of China’s foreign investment under the Belt and Road Initiative. First, based on the analysis of the existing studies on economic investment evaluation, an intuitionistic fuzzy multi-attribute evaluation method based on entropy method and G1 method is proposed. The essence of the proposed …method is to combine the intuitionistic fuzzy set theory with subjective and objective evaluation methods, which improves the disadvantage of the original evaluation method taking too much subjective factors into consideration. This study applies the proposed method to the economic risk evaluation of China’s outward foreign direct investment (OFDI), constructs a 17-indicator economic risk system, and uses this method to rank the importance of the 17 indicators. The more important contribution is that this paper not only achieves improvements at the theoretical level and innovation at the practical level, but also condenses the research conclusions into three pieces of countermeasures and suggestions on China’s investment in countries along the Belt and Road. This research can provide theoretical support for Chinese government to make financial investment decisions in countries along the Belt and Road, and can also help countries along the Belt and Road to actively integrate into the Belt and Road Initiative, and promote the high-quality social and economic development of the countries along the Belt and Road. Show more
Keywords: Belt and road, economic investment, risk evaluation, indicator importance, intuitionistic fuzzy set, entropy method-G1 method
DOI: 10.3233/JIFS-220709
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1645-1659, 2023
Authors: Abughazalah, Nabilah | Khan, Majid | Yaqoob, Naveed | Munir, Noor | Hussain, Iqtadar
Article Type: Research Article
Abstract: The reduction of constrained mathematical structures leads us to generalize any abstract structures. Using minimum conditions to construct a secure and robust component of the modern encryption algorithm is one crucial problem in multimedia security. With this understanding, we have proposed a new algebraic structure, namely monogenic semigroup, to construct a digital information authentication scheme. Authentication is always completed at the beginning of the application, before any throttling or approval checks are performed, and before any other code is allowed to begin running in the background. Many authentication schemes offer a complex structure for implementation in cryptosystems and applications. The …anticipated mechanism uses a simple mathematical structure having the least conditions as compared to other mathematical structures. The suggested scheme provides structures for the authentication of text messages and images. Show more
Keywords: Monogenic semigroup, authentication, modern ciphers
DOI: 10.3233/JIFS-220969
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1661-1671, 2023
Authors: Chitra, Singaram | Kannan, Samikannu | Sundar Raj, Annadurai
Article Type: Research Article
Abstract: Medical advancements are being made in order to extend the lifespan of mankind. In the medical field, the penetration of Wireless Sensor Networks (WSN) can aid doctors in diagnosing patients accurately and prescribing the medications accordingly. In recent times, several people have permanent implants such as face makers and it is threatening to life to keep altering this body enhancement as well as it is required to possess a system in place to improve the performance of the Wireless Body Sensors. Transmission loss and route loss are two important elements that will drag the battery energy and minimizes its life …span. This research proposes optimal clustering and path selection protocol to enhance the lifetime of wireless body sensor networks. Initially, the data is collected from each body sensor through a clustering method called Glow-worm Swarm Optimization (GSO) and the Fruit-fly technique is applied to find the best path. Here, the cluster head is selected with the help of GSO that minimizes the energy consumption as well as enhances the lifetime of WBSN. Further, the best path is identified by the FFO using the fitness value that is measured within the nodes on the basis of the distance. Since hybrid technology is used here, the routing accomplished is shown to be better. The results reveal that the proposed model has improved the sensor life term (95 sec) while compared with other existing methods like PSO with FFO (78 sec), ACO with FFO (77 sec), GA with FFO (76 sec), and LEACH (68 sec) algorithm for 500 nodes. Show more
Keywords: Wireless sensor network, body sensors, clustering, routing protocol, glow-worm swarm optimization
DOI: 10.3233/JIFS-221172
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 1673-1690, 2023
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