Journal of Intelligent & Fuzzy Systems - Volume 46, issue 1

Authors: Poongavanam, N. | Nithiyanandam, N. | Suma, T. | Thatha, Venkata Nagaraju | Shaik, Riaz

Article Type: Research Article

Abstract: In this research, –coverage –connected problem is viewed as multi-objective problem and shuffling frog leaps algorithm is proposed to address multi-objective optimization issues. The shuffled frog leaping set of rules is a metaheuristic algorithm that mimics the behavior of frogs. Shuffled frog leaping algorithms are widely used to seek global optimal solutions by executing the guided heuristic on the given solution space. The basis for the success of this SFL algorithm is the ability to exchange information among a group of individuals which phenomenally explores the search space. SFL improves the overall lifespan of the network, the cost of connection …among the sensors, to enhance the equality of coverage among the sensors and targets, reduced sensor count for increased coverage, etc. When it comes to coverage connectivity issues, each target has to be covered using k sensors to avoid the loss of data and m sensors connected enhance the lifespan of the network. When the targets are covered by k sensors then the loss of data will be reduced to an extended manner. When the sensors are connected with m other sensors then the connectivity among the sensors will not go missing and hence the lifespan of the network will be improved significantly. Therefore, the sensor node number in coverage indicates the total number of sensor nodes utilised to cover a target, and the number of sensor nodes in connected reflects the total number of sensor nodes that provide redundancy for a single failed sensor node. Connectivity between sensor nodes is crucial to the network’s longevity. The entire network backbone acts strategically when all the sensors are connected with one or the other to pertain to the connectivity of the network. Coverage is yet another key issue regarding the loss of data. The proposed algorithm solves the connectivity of sensors and coverage of targets problems without weighted sum approach. The proposed algorithm is evaluated and tested under different scenarios to show the significance of the proposed algorithm. Show more

Keywords: Optimization, wireless sensor networks, throughput, latency, packet delivery, target

DOI: 10.3233/JIFS-233595

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 1-18, 2024

Authors: Liu, Dashuai | Zhang, Jie | Wang, Chenlu | Ci, Weilin | Wu, Baoxia | Quan, Huafeng

Article Type: Research Article

Abstract: As society evolves, companies produce more homogeneous products, shifting customers’ needs from functionality to emotions. Therefore, how quickly customers select products that meet their Kansei preferences has become a key concern. However, customer Kansei preferences vary from person to person and are ambiguous and uncertain, posing a challenge. To address this problem, this paper proposes a TF-KE-GRA-TOPSIS method that integrates triangular fuzzy Kansei engineering (TF-KE) with Grey Relational Analysis (GRA) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Firstly, a Kansei evaluation system is constructed based on KE and fuzzy theory. A dynamic triangular fuzzy Kansei …preference similarity decision matrix (TF-KPSDM) is defined to quantify customer satisfaction with fuzzy Kansei preferences. Secondly, dynamic objective weights are derived using Criteria Importance Though Intercrieria Correlation (CRITIC) and entropy, optimized through game theory to achieve superior combined weights. Thirdly, the GRA-TOPSIS method utilizes the TF-KPSDM and combined weights to rank products. Finally, taking the case of Kansei preference selection for electric bicycles, results indicate that the proposed method robustly avoids rank reversal and achieves greater accuracy than comparative models. This study can help companies dynamically recommend products to customers based on their Kansei preferences, increasing customer satisfaction and sales. Show more

Keywords: TF-KE-GRA-TOPSIS, CRITIC and entropy, game theory, customers’ fuzzy Kansei preferences, dynamic ranking of products

DOI: 10.3233/JIFS-234549

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 19-40, 2024

Authors: Praveen Kumar, B. | Padmavathy, T. | Muthunagai, S.U. | Paulraj, D.

Article Type: Research Article

Abstract: Data mining is one of the emerging technologies used in many applications such as Market analysis and Machine learning. Temporal data mining is used to get a clear knowledge about current trend and to predict the upcoming future. The rudimentary challenge in introducing a data mining procedure is, processing time and memory consumption are highly increasing while trying to improve the accuracy, precision or recall. As well as, while trying to reduce the processing time or memory consumption, accuracy, precision and recall values are reducing significantly. So, for improving the performance of the system and to preserve the memory and …processing time, Three-Dimensional Fuzzy FP-Tree (TDFFPT) is proposed for Temporal data mining. Three functional modules namely, Three-Dimensional Temporal data FP-Tree (TTDFPT), Fuzzy Logic based Temporal Data Tree Analyzer (FTDTA) and Temporal Data Frequent Itemset Miner (TDFIM) are integrated in the proposed method. This algorithm scans the database and generates frequent patterns as per the business need. Every time a client purchases a new item, it gets stored in the recent database layer instead of rescanning the entire records which are placed in the old layer. The results obtained shows that the performance of the proposed model is more efficient than that of the existing algorithm in terms of overall accuracy, processing time, reduction in the memory utilization, and the number of databases scans. In addition, the proposed model also provides improved decision making and accurate pattern prediction in the time series data. Show more

Keywords: Data mining, FP-Tree, fuzzy logic, market analysis, temporal data mining, prediction accuracy, precision, processing time, recall

DOI: 10.3233/JIFS-223030

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 41-51, 2024

Authors: Rahim, Muhammad | Tag Eldin, ElSayed M. | Khan, Salma | Ghamry, Nivin A. | Alanzi, Agaeb Mahal | Khalifa, Hamiden Abd El-Wahed

Article Type: Research Article

Abstract: In this study, we introduce The p , q -quasirung orthopair fuzzy Dombi operators, including p , q -quasirung orthopair fuzzy Dombi weighted averaging (p , q -QOFDWA), p , q -quasirung orthopair fuzzy Dombi ordered weighted averaging (p , q -QOFDOWA), p , q -quasirung orthopair fuzzy Dombi weighted geometric (p , q -QOFDWG), and p , q -quasirung orthopair fuzzy Dombi ordered weighted geometric (p , q -QOFDOWG) operators. These operators effectively manage imprecise and uncertain information, outperforming other fuzzy sets like the Pythagorean fuzzy set (PFS) and q-rung orthopair fuzzy set (q-ROFS). We investigate their properties, including …boundedness and monotonicity, and demonstrate their applicability in multiple criteria decision-making (MCDM) problems within a p , q -quasirung orthopair fuzzy (p , q -QOF) environment. To showcase the practicality, we present a real-world scenario involving the selection of investment alternatives as an illustrative example. Our findings highlight the significant advantage and potential of these operators for handling uncertainty in decision-making. Show more

Keywords: p, q-quasirung orthopair fuzzy sets, Dombi norms, aggregation operators, decision-making

DOI: 10.3233/JIFS-233327

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 53-74, 2024

Authors: Yuan, Yuan

Article Type: Research Article

Abstract: With the development of national economy and the increase of foreign trade, Business English has become one of the most popular majors in universities. In order to cultivate business English talents for the national society and adapt to the requirements of the times, the innovation of English teaching concepts and the reform of teaching techniques are the only way for business English majors teaching in universities. The colleges business English teaching quality evaluation is considered as a multi-attribute group decision making (MAGDM). In this paper, the EDAS technique is expanded to the single-valued neutrosophic sets (SVNSs) and the single-valued neutrosophic …number EDAS (SVNN-EDAS) technique based on Euclid distance and cosine similarity measure (CSM) is constructed to manage MAGDM. The CRITIC technique is employed to achieve the weight information based on Euclid distance and CSM technique under SVNSs. Finally, the colleges business English teaching quality evaluation is employed to demonstrate the SVNN-EDAS technique and some comparative analysis is employed to demonstrate the SVNN-EDAS. Thus, the main research contribution of this work is then constructed: (1) the CRITIC technique is built to get the attribute’s weight based on Euclid distance and CSM technique; (2) the SVNN-EDAS technique is constructed under SVNNs based on Euclid distance and CSM technique; (3) an example for colleges business English teaching quality evaluation is employed to verify SVNN-EDAS technique and several decision comparative analysis are employed to verify the SVNN-EDAS. Show more

Keywords: Multi-attribute group decision making (MAGDM), single-valued neutrosophic sets (SVNSs), EDAS technique, cosine similarity measure (CSM), teaching quality evaluation

DOI: 10.3233/JIFS-233786

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 75-89, 2024

Authors: Li, Meng | Wang, Xue-ping

Article Type: Research Article

Abstract: In order to guarantee the downloading quality requirements of users and improve the stability of data transmission in a BitTorrent-like peer-to-peer file sharing system, this article deals with eigenproblems of addition-min algebras. First, it provides a sufficient and necessary condition for a vector being an eigenvector of a given matrix, and then presents an algorithm for finding all the eigenvalues and eigenvectors of a given matrix. It further proposes a sufficient and necessary condition for a vector being a constrained eigenvector of a given matrix and supplies an algorithm for computing all the constrained eigenvectors and eigenvalues of a given …matrix. This article finally discusses the supereigenproblem of a given matrix and presents an algorithm for obtaining the maximum constrained supereigenvalue and depicting the feasible region of all the constrained supereigenvectors for a given matrix. It also gives some examples for illustrating the algorithms, respectively. Show more

Keywords: Fuzzy relation inequality, Addition-min composition, Eigenvalue, Eigenvector, Algorithm

DOI: 10.3233/JIFS-234499

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 91-103, 2024

Authors: Tuyet, Vo Thi Hong | Binh, Nguyen Thanh | Tin, Dang Thanh

Article Type: Research Article

Abstract: With the medical internet of things, many automated diagnostic models related to eye diseases are easier. The doctors could quickly contrast and compare retina fundus images. The retina image contains a lot of information in the image. The task of detecting diabetic macular edema from retinal images in the healthcare system is difficult because the details in these images are very small. This paper proposed the new model based on the medical internet of things for predicting diabetic macular edema in retina fundus images. The method called DMER (Diabetic Macular Edema in Retina fundus images) to detect diabetic macular edema …in retina fundus images based on improving deep residual network being combined with feature pyramid network in the context of the medical internet of things. The DMER method includes the following stages: (i) ResNet101 improved combining with feature pyramid network is used to extract features of the image and obtain the map of these features; (ii) a region proposal network to look for potential anomalies; and (iii) the predicted bounding boxes against the true bounding box by the regression method to certify the capability of macular edema. The MESSIDOR and DIARETDB1 datasets are used for testing with evaluation criteria such as sensitivity, specificity, and accuracy. The accuracy of the DMER method is about 98.08% with MESSIDOR dataset and 98.92% with DIARETDB1 dataset. The results of the method DMER are better than those of the other methods up to the present time with the above datasets. Show more

Keywords: Diabetic macular edema, ResNet101, feature map, region proposal network, region of interest, medical internet of things

DOI: 10.3233/JIFS-234649

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 105-117, 2024

Authors: Wang, Weize | Feng, Yurui

Article Type: Research Article

Abstract: Intuitionistic fuzzy (IF) information aggregation in multi-criteria decision making (MCDM) is a substantial stream that has attracted significant research attention. There are various IF aggregation operators have been suggested for extracting more informative data from imprecise and redundant raw information. However, some of the aggregation techniques that are currently being applied in IF environments are non-monotonic with respect to the total order, and suffer from high computational complexity and inflexibility. It is necessary to develop some novel IF aggregation operators that can surpass these imperfections. This paper aims to construct some IF aggregation operators based on Yager’s triangular norms to …shed light on decision-making issues. At first, we present some novel IF operations such as Yager sum, Yager product and Yager scalar multiplication on IF sets. Based on these new operations, we propose the IF Yaeger weighted geometric operator and the IF Yaeger ordered weighted geometric operator, and prove that they are monotone with respect to the total order. Then, the focus on IF MCDM have motivated the creation of a new MCDM model that relies on suggested operators. We show the applicability and validity of the model by using it to select the most influential worldwide supplier for a manufacturing company and evaluate the most efficient method of health-care disposal. In addition, we discuss the sensitivity of the proposed operator to decision findings and criterion weights, and also analyze it in comparison with some existing aggregation operators. The final results show that the proposed operator is suitable for aggregating both IF information on “non-empty lattice" and IF data on total orders. Show more

Keywords: Intuitionistic fuzzy sets, aggregation operators, Yager triangular norms, monotonicity, multi-criteria decision-making

DOI: 10.3233/JIFS-234906

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 119-135, 2024

Authors: Kalaichelvi, K. | Sundaram, M. | Sanmugavalli, P.

Article Type: Research Article

Abstract: The research tends to suggest a spin-orbit torque magnetic random access memory (SOT-MRAM)-based Binary CNN In-Memory Accelerator (BIMA) to minimize power utilization and suggests an In-Memory Computing (IMC) for AdderNet-based BIMA to further enhance performance by fully utilizing the benefits of IMC as well as a low current consumption configuration employing SOT-MRAM. And recommended an IMC-friendly computation pipeline for AdderNet convolution at the algorithm level. Additionally, the suggested sense amplifier is not only capable of the addition operation but also typical Boolean operations including subtraction etc. The architecture suggested in this research consumes less power than its spin-orbit torque (STT) …MRAM and resistive random access memory (ReRAM)-based counterparts in the Modified National Institute of Standards and Technology (MNIST) data set, according to simulation results. Based to evaluation outcomes, the pre-sented strategy outperforms the in-memory accelerator in terms of speedup and energy efficiency by 17.13× and 18.20×, respectively. Show more

Keywords: Energy efficiency, IMC, SOT-MRAM, speedup

DOI: 10.3233/JIFS-223898

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 137-148, 2024

Authors: Zhang, An | Li, Minghao | Bi, Wenhao

Article Type: Research Article

Abstract: Multiple unmanned aerial vehicles (multi-UAVs) formation shape refers to the geometric shape when multi-UAVs fly in formation and describes their relative positions. It plays a necessary role in multi-UAVs collaboration to improve performance, avoid collision, and provide reference for control. This study aims to determine the most appropriate multi-UAVs formation shape in a specific mission to meet different and even conflicting requirements. The proposed approach introduces requirement satisfaction and spherical fuzzy analytic network process (SFANP) to improve the technique for order preference by similarity to ideal solution (TOPSIS). First, multi-UAVs capability criteria and their evaluation models are constructed. Next, performance …data are transformed into requirement satisfaction of capability and unified into a same scale. Qualitative judgments are made and quantified based on spherical fuzzy sets and nonlinear transformation functions are developed for benefit, cost, and interval metrics. Then, SFANP is used to handle interrelationships among criteria and determine their global weights, which takes decision vagueness and hesitancy into account and extends decision-makers’ preference domain onto a spherical surface. Finally, alternative formation shapes are ranked by their distances to the positive and negative ideal solution according to the TOPSIS. Furthermore, a case study of 9 UAVs performing a search-attack mission is set up to illustrate the proposed approach, and a comparative analysis is conducted to verify the applicability and credibility. Show more

Keywords: Multi-UAVs, formation shape, requirement satisfaction, spherical fuzzy sets, analytic network process, TOPSIS

DOI: 10.3233/JIFS-231494

Citation: Journal of Intelligent & Fuzzy Systems, vol. 46, no. 1, pp. 149-166, 2024