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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: Chandnani, Neeraj | Verma, Kirti
Article Type: Research Article
Abstract: Smart gadgets have created a buzz in the market today; you will find everything smart today. Like a smartwatch, smart band, smart led, smart heater, etc., and transmitting data securely between all these devices is necessary as an outcome; IoT devices developed defenseless to numerous devices. Faith replicas were predictable, significant simultaneous approaches to defend a large communication system in contrast to evil virtual outbreaks. In this research paper, the various Type-II fuzzy logic models are evaluated, which provides enhanced data security for IoT devices. Also, compression is applied between all data encryption techniques based on the parameters like Reproduction …time (circles), Program series (m), Quantity of device nodes, Number of spiteful nodes, and Total interval. Show more
Keywords: Type-II fuzzy logic, internet of things, encryption
DOI: 10.3233/JIFS-220570
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2109-2116, 2023
Authors: Chen, Deguang | Zhou, Jie
Article Type: Research Article
Abstract: MobileBert is a generic lightweight model suffering from a large network depth and parameter cardinality. Therefore, this paper proposes a secondary lightweight model entitled LightMobileBert, which retains the bottom 12 Transformers structure of the pre-trained MobileBert and utilizes the tensor decomposition technique to process the model to skip pre-training and further reduce the parameters. At the same time, the joint loss function is constructed based on the improved Supervised Contrastive Learning loss function and the Cross-Entropy loss function to improve performance and stability. Finally, the LMBert_Adam optimizer, an improved Bert_Adam optimizer, is used to optimize the model. The experimental results …demonstrate that LightMobileBert has a comparatively higher performance than MobileBert and other popular models while requiring 57% fewer network parameters than MobileBert, confirming that LightMobileBert retains a higher performance while being lightweight. Show more
Keywords: Natural language processing, lightweight model, tensor decomposition, supervised contrastive learning
DOI: 10.3233/JIFS-221985
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2117-2129, 2023
Authors: Jayachandran, Shana | Dumala, Anveshini
Article Type: Research Article
Abstract: The Corona virus pandemic has affected the normal course of life. People all over the world take the social media to express their opinions and general emotions regarding this phenomenon. In a relatively short period of time, tweets about the new Corona virus increased by an amount never before seen on the social networking site Twitter. In this research work, Sentiment Analysis of Social Media Data to Identify the Feelings of Indians during Corona Pandemic under National Lockdown using recurrent neural network is proposed. The proposed method is analyzed using four steps: that is Data collection, data preparation, Building sentiment …analysis model and Visualization of the results. For Data collection, the twitter dataset are collected from social networking platform twitter by application programming interface. For Data preparation, the input data set are pre-processed for removing URL links, removing unnecessary spaces, removing punctuations and numbers. After data cleaning or preprocessing entire particular characters and non-US characters from Standard Code for Information Interchange, apart from hash tag, are extracted as refined tweet text. In addition, entire behaviors less than three alphabets are not assumed at analysis of tweets, lastly, tokenization and derivation was carried out by Porter Stemmer to perform opinion mining. To authenticate the method, categorized the tweets linked to COVID-19 national lockdown. For categorization, recurrent neural method is used. RNN classify the sentiment classification as positive, negative and neutral sentiment scores. The efficiency of the proposed RNN based Sentimental analysis classification of COVID-19 is assessed various performances by evaluation metrics, like sensitivity, precision, recall, f-measure, specificity and accuracy. The proposed method attains 24.51%, 25.35%, 31.45% and 24.53% high accuracy, 43.51%, 52.35%, 21.45% and 28.53% high sensitivity than the existing methods. Show more
Keywords: COVID 19, sentiment analysis, data analytics, lockdown, classification, recurrent neural network
DOI: 10.3233/JIFS-221883
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2131-2146, 2023
Authors: Liu, Zhongpu | Liu, Jianjuan
Article Type: Research Article
Abstract: For the issues of the ant colony algorithm (ACO) to solving the problems in mobile robot path planning, such as the slow optimization speed and the redundant paths in planning results, a high-precision improved ant colony algorithm (IPACO) with fast optimization and compound prediction mechanism is proposed. Firstly, aiming at maximizing the possibility of optimal node selection in the process of path planning, a composite optimal node prediction model is introduced to improve the state transition function. Secondly, a pheromone model with initialize the distribution and “reward or punishment” update mechanism is used to updates the global pheromone concentration directionally, …which increases the pheromone concentration of excellent path nodes and the heuristic effect; Finally, a prediction-backward mechanism to deal with the “deadlock” problem in the ant colony search process is adopted in the IPACO algorithm, which enhance the success rate in the ACO algorithm path planning. Five groups of different environments are selected to compare and verify the performance of IPACO algorithm, ACO algorithm and three typical path planning algorithms. The experimental simulation results show that, compared with the ACO algorithm, the convergence speed and the planning path accuracy of the IPACO algorithm are improved by 57.69% and 12.86% respectively, and the convergence speed and the planning path accuracy are significantly improved; the optimal path length, optimization speed and stability of the IPACO algorithm are improved. Which verifies that the IPACO algorithm can effectively improve the environmental compatibility and stability of the ant colony algorithm path planning, and the effect is significantly improved. Show more
Keywords: Mobile robot, Path planning, Path prediction model, Ant colony optimization algorithm, Reward and punishment update
DOI: 10.3233/JIFS-222211
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2147-2162, 2023
Authors: Guan, Xuechong
Article Type: Research Article
Abstract: Soft separation axioms and their properties are popular topic in the research of soft topological spaces. Two types of separation axioms T i -I and T i -II (i = 0, 1, ⋯ , 4) which take single point soft sets and soft points as separated objects have been given in [18 ] and [30 ] respectively. In this paper we show that a soft T 0 -II(T 1 -II, T 2 -II, and T 4 -II respectively) space is a soft T 0 -I(T 1 -I, T 2 -I, and T 4 -I respectively) space, if the initial universe …set X and the parameter set E are sets of two elements. Some examples are given to explain that a soft T i -I may not to be a soft T i -II space (i = 0, 1, ⋯ , 4). Show more
Keywords: Soft set, soft topological space, single point soft set, soft point, separation axiom
DOI: 10.3233/JIFS-212432
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2163-2171, 2023
Authors: Marimuthu, Poorani | Vaidehi, V.
Article Type: Research Article
Abstract: Remote Health Monitoring (RHM) is an important research topic among the researchers, where many challenges are to be addressed with respect to communication, device, synchronization, data analysis, knowledge inferencing, database maintenance, security, timely notification etc. Among these multi challenges, personalization of health data and scheduling of alert generation have been focused on this work. Recognizing the regular health pattern of each individual helps in diagnosing the disease accurately (reduces the False Alarm Ratio (FAR)) and provides the necessary treatment earlier. Similarly, in real time, with multiple patients, the latency should be minimal for timely alert generation. To address these two …challenges, a Density-based K- means clustering (DbK-meansC) approach has been proposed in this work that personalize the vital health values. From the personalized health values the abnormalities in the health status of a person can be detected earlier. Here the health records are continuously updated with respect to health values that reflects in personalization of health records. If any abnormality noted in the health values, then the proposed work sends an alert message to the caretaker / the respective doctor using a dynamic preemptive priority scheduling scheme. The scheduling is done with respect to the severity levels of the vital health values of each individual respectively. The arrived results show that the proposed personalized abnormality detection RHM model generate alerts with minimum latency in terms of response and waiting time in a multi patient environment. With proper personalization, the obtained specificity and sensitivity are 91.56% and 92.87% respectively and the computational time is reduced as the degree of personalization increases. Show more
Keywords: Density based clustering, personalization, dynamic priority scheduler, latency, severity index
DOI: 10.3233/JIFS-220539
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2173-2190, 2023
Authors: Han, Chao-Qun | Zhang, Xiao-Hong | Ma, Hong-Wei | Hu, Zhi-Hua
Article Type: Research Article
Abstract: Since the tax of carbon emission is popular and consumers are exhibiting low-carbon preference, a manufacturer may invest to adopt carbon emission reduction (CER) technologies to produce green products. In face of high cost of CER investment and random yield in low carbon production processes for the manufacturer, this paper explores the incentive role of the contracts of revenue-sharing (RS) and cost-sharing with subsidy (CSS) offered by a retailer in a low-carbon supply chain. Theoretical analysis and numerical experiments show that both RS and CSS can promote the manufacturer’s Carbon Emission Reduction (CER) efforts and improve the efficiency of the …supply chain, and RS boosts these more than CSS. RS and CSS can also decrease firms’ profit losses due to yield uncertainty, and RS also decreases firms’ profit losses more than CSS. Moreover, to motivate manufacturer’s CER efforts, the government should levy the highest-possible carbon tax under RS, the medium-level carbon tax under CSS, and the lowest-possible carbon tax for the decentralized case, and levy the same carbon tax on the centralized case with that under RS. Show more
Keywords: Yield uncertainty, retailer-driven incentive, carbon emission reduction, carbon tax, revenue-sharing, cost-sharing with su
DOI: 10.3233/JIFS-220354
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2191-2206, 2023
Authors: Jin, Feifei | Jiang, Hao | Pei, Lidan
Article Type: Research Article
Abstract: Single-valued neutrosophic set is an important tool for describing fuzzy information and solving fuzzy decision problems. It is known that entropy can be applied to measure the degree of uncertainty of evaluation information and determine the important degree of objects, similarity is mainly used to capture the internal relationship of the evaluation objects. Therefore, single-valued neutrosophic entropy and single-valued neutrosophic similarity are two important topics in multi-attribute decision-making (MADM) problems. In this paper, some new single-valued neutrosophic entropy and similarity methods are first proposed to deal with uncertain and fuzzy decision problems with the help of exponential function. Then, the …proofs of exponential entropy and exponential similarity measures fit the definition of single-valued neutrosophic similarity and single-valued neutrosophic entropy are presented. Moreover, we apply these two measure methods to cope with the MADM problems, then a new MADM method is provided. Finally, the developed MADM method is applied to the practical example of investment decision, and comparisons with other methods are conducted to show the advantages and rationality of our method. Show more
Keywords: Single-valued neutrosophic set, entropy, similarity measure, multi-attribute decision-making
DOI: 10.3233/JIFS-220566
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2207-2216, 2023
Authors: Altinsoy, Ufuk | Aktepe, Adnan | Ersoz, Suleyman
Article Type: Research Article
Abstract: In today’s understanding, the universities are considered as service providers besides their institutional functions. Because the universities shape the future of the country via the services they provide, it is a necessity that their service quality must be assessed by using scientific analyses, and their service quality must be improved based on such scientific findings. The Generation Z, whose members are currently receiving university education carries unique features that distinguish them from the previous generations. When this fact is considered, it is understood that the constant research and monitoring of the learning environment of the Generation Z is important. In …this study, as a result of a detailed literature search, a scale consisting of 7 dimensions and 36 indicators was developed in order to measure the higher education service quality of the Z generation. The validity and reliability tests of this scale are completed via the convergent and divergent validity analyses, Exploratory Factor Analysis (EFA), and Confirmatory Factor Analysis (CFA). Because the answers provided to the surveys reflect the personal evaluation of the participants, the Fuzzy Logic is employed, and the study is conducted by using the fuzzy modelling and fuzzy ranking. As a result of this study, the General Satisfaction Index is created, and improving recommendations are carried out based on the scores. Show more
Keywords: Service quality, fuzzy logic, artificial intelligence, higher education, generation-z
DOI: 10.3233/JIFS-220985
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2217-2230, 2023
Authors: Han, Yongguang | Yan, Rong | Gou, Chang
Article Type: Research Article
Abstract: Today’s higher vocational colleges have already put innovation and entrepreneurship education at the top of vocational education, and integrated it into the entire education and teaching work, in order to continuously improve the innovation and entrepreneurship ability of students in higher vocational colleges and improve their job competition. strength, and improve the quality of education in higher vocational colleges. The quality evaluation of innovation and entrepreneurship education in vocational colleges is a classical multiple attribute decision making (MADM) problems. In this paper, we introduced some calculating laws on interval-valued intuitionistic fuzzy sets (IVIFSs), Hamacher sum and Hamacher product and further …propose the induced interval-valued intuitionistic fuzzy Hamacher power ordered weighted geometric (I-IVIFHPOWG) operator. Meanwhile, we also study some ideal properties of built operator. Then, we apply the I-IVIFHPOWG operator to deal with the MADM problems under IVIFSs. Finally, an example for quality evaluation of innovation and entrepreneurship education in vocational colleges is used to test this new approach. Show more
Keywords: Multiple attribute decision making (MADM), interval-valued intuitionistic fuzzy sets (IVIFSs), IOWG operator, I-IVIFHPOWG operator, innovation and entrepreneurship education
DOI: 10.3233/JIFS-221701
Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 2, pp. 2231-2249, 2023
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