Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Iqbal, Jawaid | Umar, Arif Iqbal | Ul Amin, Noor | Waheed, Abdul | Abdullah, Saleem | Zareei, Mahdi | Khattak, Muazzam Ali Khan

Article Type: Research Article

Abstract: In the last decade, due to wireless technology’s enhancement, the people’s interest is highly increased in Wireless Body Sensor Networks (WBSNs). WBSNs consist of many tiny biosensor nodes that are continuously monitoring diverse physiological signals such as BP (systolic and diastolic), ECG, EMG, SpO2, and activity recognition and transmit these sensed patients’ sensitive information to the central node, which is straight communicate with the controller. To disseminate this sensitive patient information from the controller to remote (MS) needs to be prolonged high-speed wireless technology, i.e., LTE, UMTS, WiMAX, WiFi, and satellite communication. It is a challenging task for the controller …to choose the optimal network to disseminate various patient vital signs, i.e., emergency data, normal data, and delay-sensitive data. According to the nature of various biosensor nodes in WBSNs, monitor patient vital signs and provide complete intelligent treatment when any abnormality occurs in the human body, i.e., accurate insulin injection when patient sugar level increased. In this paper, first, we select the optimal network from accessible networks using four different fuzzy attribute-based decision-making techniques (Triangular Cubic Hesistent Fuzzy Weighted Averaging Operator, Neutrosophic Linguistic TOPSIS method, Trangualar Cubic Hesistent Fuzzy Hamacher Weighted Averaging Operator and Cubic Grey Relational Analysis) depending upon the quality of service requirement for various application of WBSNs to prolong the human life, enhanced the society’s medical treatment and indorse living qualities of people. Similarly, leakage and misuse of patient data can be a security threat to human life. Thus, confidential data transmission is of great importance. For this purpose, in our proposed scheme, we used HECC for secure key exchange and an AES algorithm to secure patient vital signs to protect patient information from illegal usage. Furthermore, MAC protocol is used for mutual authentication among sensor nodes and Base Stations (BS). Mathematical results show that our scheme is efficient for optimal network selection in such circumstances where conflict arises among diverse QoS requirements for different applications of WBSNs. Show more

Keywords: Wireless body sensor network, quality of service, security, fuzzy logic, decision making

DOI: 10.3233/JIFS-191104

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-19, 2021

Authors: Fu, Wenqing | Khalil, Ahmed Mostafa | Zahran, Ahmed Mohamed | Basheer, Rehab

Article Type: Research Article

Abstract: The aim of this article is to present the concept of restricted union and extended intersection of belief interval-valued soft sets, along with its properties. In addition, we propose the concept of possibility belief interval-valued soft set theory and investigate their properties. For suitability of possible applications, there are seven kinds of operations (e.g., union, intersection, restricted union, extended intersection, complement, soft max-AND, and soft min-OR) on the possibility belief interval-valued soft sets are defined and their basic theoretical are given. Then, we construct two algorithms by using soft max-AND and soft min-OR operations of possibility interval-valued soft sets for …fuzzy decision-making problem. Lastly, we introduce an algorithm using a possibility interval-valued soft set to solve the decision-making problems and clarify its applicability by a numerical example. Show more

Keywords: Interval-valued fuzzy set, belief interval-valued soft set, possibility belief interval-valued soft set, decision-making

DOI: 10.3233/JIFS-201621

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-19, 2021

Authors: Poonia, Mahima | Bajaj, Rakesh Kumar

Article Type: Research Article

Abstract: In the present work, the adjacency matrix, the energy and the Laplacian energy for a picture fuzzy graph/directed graph have been introduced along with their lower and the upper bounds. Further, in the selection problem of decision making, a methodology for the ranking of the available alternatives has been presented by utilizing the picture fuzzy graph and its energy/Laplacian energy. For the shake of demonstrating the implementation of the introduced methodology, the task of site selection for the hydropower plant has been carried out as an application. The originality of the introduced approach, comparative remarks, advantageous features and limitations have …also been studied in contrast with intuitionistic fuzzy and Pythagorean fuzzy information. Show more

Keywords: Picture fuzzy graph, score function, energy of graph, Laplacian energy, adjacency matrix, spectrum

DOI: 10.3233/JIFS-202131

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2021

Authors: Wang, Xiaoyan | Sun, Jianbin | Zhao, Qingsong | You, Yaqian | Jiang, Jiang

Article Type: Research Article

Abstract: It is difficult for many classic classification methods to consider expert experience and classify small-sample datasets well. The evidential reasoning rule (ER rule) classifier can solve these problems. The ER rule has strong processing and comprehensive analysis abilities for diversified mixed information and can solve problems with expert experience effectively. Moreover, the initial parameters of the classifier constructed based on the ER rule can be set according to empirical knowledge instead of being trained by a large number of samples, which can help the classifier classify small-sample datasets well. However, the initial parameters of the ER rule classifier need to …be optimized, and choosing the best optimization algorithm is still a challenge. Considering these problems, the ER rule classifier with an optimization operator recommendation is proposed in this paper. First, the initial ER rule classifier is constructed based on training samples and expert experience. Second, the adjustable parameters are optimized, in which the optimization operator recommendation strategy is applied to select the best algorithm by partial samples, and then experiments with full samples are carried out. Finally, a case study on a turbofan engine degradation simulation dataset is carried out, and the results indicate that the ER rule classifier has a higher classification accuracy than other classic classifiers, which demonstrates the capability and effectiveness of the proposed ER rule classifier with an optimization operator recommendation. Show more

Keywords: Evidential reasoning rule (ER rule), optimization operator recommendation, classification, turbofan engine degradation status

DOI: 10.3233/JIFS-210629

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2021

Authors: Yao, Peng

Article Type: Research Article

Abstract: Cotton is the most commonly used natural textile fiber for humans, and fire protection is essential during transport, storage, and production. However, certain fabrics have a comparatively high-temperature emission and adsorb moisture from the air, leading to cotton smoldering in the textile industry. Hence, in this paper, Hybridized Fourier transform infrared spectroscopy (HFTIS) method has been proposed to identify the fire behavior and thermal degradation products. Firstly, the fibers spectra have been obtained, and then spectral information is established to define and classify the connection between the vibrations of characteristic chemical groups and the corresponding wavelengths. The HFTIS method aims …to progress the gas analysis of smoke gases and a reliable approach for the toxic component determination in combustion gases related to fire test situations. The simulation analysis of the measurements specified that HFTIS provides a performance ratio of 95.4%, prediction ratio of 96.1%, reliability 96.6%, accuracy ratio of 97.8%, and smoldering spread rate of 15.5% compared to other existing methods. Show more

Keywords: Cotton smoldering, fire detection system, Fourier transform, infrared spectroscopy

DOI: 10.3233/JIFS-219016

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2021

Authors: Honglan, Li | Wu, Rong

Article Type: Research Article

Abstract: At present, with the continuous improvement and rapid development of the socialist market economy in China, especially the sudden rise of electronic information technology, the new communication tools are changing with each passing day. In this process, new media information technology, with its unique advantages, “broke” into the vision of modern people, participated in and influenced people’s way of life, behavior habits and social operation, and brought the development of human society into a new stage, the new media age. In today’s era, the new media has been developing rapidly in terms of technology and content, and its content is …timeliness and interesting. It matches the characteristics of contemporary college students in pursuit of freshness and individuality, so that it has won the general favor of college students. However, when the new media information technology affects and permeates all aspects of the University, the ideological and political education of college students does not seem to keep pace with the times. Because of the lack of experience, many colleges and universities have not integrated the new media information technology with the ideological and political education of college students, but simply turn the original paper into a web page, ignore the readability and dissemination of the content, resulting in the poor practical effect of education, and then a series of real problems urgently to be solved. Therefore, this paper makes a detailed summary of the problems and Countermeasures of the current new media and college students’ Ideological and political teaching, aiming at arousing people’s attention to the political and ideological education of college students in the new media era, and providing suggestions for the use of new media information technology to promote the development of College Students’ Ideological and Political Education under the information age. Show more

Keywords: New media, college students, ideological and political education, countermeasures, challenges

DOI: 10.3233/JIFS-219139

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2021

Authors: Shi, Yan

Article Type: Research Article

Abstract: The article briefly reviews the context-based view of the case-based reasoning mechanism and second language acquisition theories, and analyzes the feasibility of the application of CBR in bilingual context knowledge representation. Based on this, it proposes bilingualism. The computational model, algorithm and general implementation process of the system for contextual knowledge representation CBR system is a preliminary exploration of the application of machine learning and artificial intelligence theory in the study of second language acquisition theory. It is intended to provide a second language acquisition study to the new research methods and perspectives.

Keywords: Case, reasoning, hypothesis, cognitive simulation, context

DOI: 10.3233/JIFS-219123

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2021

Authors: Huang, Yanli | Mai, Qiang

Article Type: Research Article

Abstract: In order to improve the teaching effect of college English cross-cultural knowledge, with the support of recommendation algorithms, this paper builds a O2O teaching system of cross-cultural knowledge in college English based on MOOC, and provides service methods such as material resource learning, “smart grab-order” question answering, resource recommendation, LBS appointment teaching and offline teaching. Moreover, this paper constructs a learner and teacher interest model, introduces a suspicious degree update model into the interest model, uses a deep learning network algorithm to recommend composition resources, and uses a deep network adaptive learning algorithm to enhance the accuracy of composition resource …recommendation. In addition, this paper constructs a system framework structure based on actual needs, and studies the realization process of each of its functional modules. Finally, this paper designs an experiment to evaluate the practical effect of O2O teaching system of cross-cultural knowledge in college English based on MOOC. The research results show that the system constructed in this paper meets the expected requirements. Show more

Keywords: MOOC, College English, cross-cultural knowledge, O2O, teaching system

DOI: 10.3233/JIFS-219142

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Yan, Weifeng | Wang, Guangming

Article Type: Research Article

Abstract: The development trend of foreign education is affected by many factors, so its future development trend is difficult to judge. Therefore, it is necessary to simulate and analyze the development trend of foreign education through artificial intelligence. According to actual needs, based on artificial intelligence algorithms, this paper builds artificial intelligence simulation analysis model to realize the simulation analysis of foreign education development. Moreover, starting from the overall design architecture of the online education platform, this paper builds functional modules, uses the machine learning constructed in this paper for data training and data prediction, and outputs prediction results. In order …to study the performance reliability of the model, we predict and judge the development trend of foreign education and determine the model reliability through empirical judgment. The research results show that the model constructed in this paper has a certain effect. Show more

Keywords: Machine learning, artificial intelligence, simulation analysis, external education

DOI: 10.3233/JIFS-219133

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021

Authors: Yu, Lan | Peng, Ning

Article Type: Research Article

Abstract: In the context of information education, English teaching needs to match the development of artificial intelligence to improve the intelligence of English teaching. Based on the artificial intelligence matching model, this paper constructs an English teaching reform model based on artificial intelligence algorithms. Moreover, based on the FISST multi-target tracking method, this paper firstly models the target state and measurement as RFS, and then uses the Bayesian filtering method to recursively calculate the target posterior PDF, which can estimate the number and state of targets in real time and make up for the shortcomings of traditional tracking methods. In addition, …the system proposed in this article can be applied to online English teaching. Through this system, teachers can realize one-to-one matching of students, identify the status of students in time, and give corresponding English teaching methods to different students. Finally, this paper designs a controlled experiment to analyze the performance of the algorithm proposed in this paper. The research results show that the model constructed in this paper has certain practical effects. Show more

Keywords: Artificial intelligence, matching, English teaching, teaching mode

DOI: 10.3233/JIFS-219131

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2021