Journal of Intelligent & Fuzzy Systems - Volume 44, issue 4

Authors: Gomathi, S.V. | Jayalakshmi, M.

Article Type: Research Article

Abstract: The assignment problem is one of the core combinatorial optimization problems in the optimization branch, and the theory and applications of fractional programming have made great strides in recent years. Usually, the possible coefficient values of linear fractional programming and real-world problems are frequently only known to the decision in vague or uncertain terms. Hence, it would be more acceptable to interpret the coefficients for as fuzzy numerical information. In this paper, a fuzzy bi-objective fractional assignment (FBOFAP) has been formulated. A problem has been defined. Here, triangular shapes are used to indicate the parameters. The fuzzy problem is turned …into a typical crisp problem through α-cut using a fuzzy number and then the compromise solution is generated by fuzzy programming. Show more

Keywords: Assignment problem, fractional programming problem, hyperbolic membership function, fuzzy numbers, fuzzy programming

DOI: 10.3233/JIFS-223312

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6425-6433, 2023

Authors: Yu, Hongliang | Peng, Zhen | He, Zirui | Huang, Chun

Article Type: Research Article

Abstract: In China, steel structure building has become an important direction of national support and development. As a link in steel structure construction, welding plays a vital role. With the continuous development of domestic steel structures in the direction of “big, special, and new”, manual welding becomes increasingly difficult. The application of robotic technology can effectively reduce the problems of unstable quality and low efficiency caused by manual welding. However, how to evaluate the overall application effect of this technology from the perspective of steel structure construction projects is an urgent problem to be solved at present. Through an in-depth analysis …of the technology of building steel structure welding robots, combined with the idea of the capability maturity model and WSR methodology, the evaluation index system of application maturity of building steel structure welding robotic technology is designed. In addition, according to the gray, fuzzy, and difficult-to-quantify characteristics of the evaluation index system, the evaluation model of the application maturity of the building steel structure welding robot technology is established by using the subjective and objective combination weighting method and the gray system theory. In this model, the mixed weighting method of AHP and entropy weight method is used to determine the index weight, and then the multi-level gray theory is used to comprehensively evaluate the maturity of the technology application. Lastly, a project is used as an example to check the science and feasibility of the model. Show more

Keywords: Welding robot, steel structure, WSR, maturity model, multi-level grey theory

DOI: 10.3233/JIFS-223563

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6435-6451, 2023

Authors: Li, Wanping | Zhang, Guidong | Sheng, Yuhong

Article Type: Research Article

Abstract: Solving uncertain differential equations is a critical subject in the field of uncertainty theory, where uncertain differential equations are a sort of differential equations that involve Liu processes. Currently, considerable effort has been put into addressing this issue. Regrettably, analytic solutions to uncertain differential equations are not always accessible. As a result, several numerical methods have been investigated. However, numerical methods have certain limitations in terms of providing a continuous representation of the solution as well as more information about the solution. This paper will propose a novel algorithm based on the variational iteration method (VIM) for solving uncertain differential …equations analytically or approximately analytically. The associated numerical experiments show that the proposed method is an efficient tool for solving uncertain differential equations. Show more

Keywords: Uncertain differential equation, analytic solution, variational iteration method, uncertainty theory

DOI: 10.3233/JIFS-223593

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6453-6461, 2023

Authors: Gong, Yu | Liu, Mingzhou | Wang, Xiaoqiao | Liu, Conghu | Hu, Jing

Article Type: Research Article

Abstract: Multi-scale defect features, blurred edges and inability to locate geometric features have been the three key factors limiting the detection of surface defects on quality control system in the industrial manufacturing process. In this study, a method based on the fusion of multi-scale features and pixel-level semantic segmentation is proposed for the detection of surface defects. The proposed method firstly fuses multi-level feature maps to balance the expressiveness of multi-scale features, then adds a boundary refinement module to enhance the accurate inference of edge fine-grained, and finally adopts an en-decoder architecture to locate geometric features at the pixel-level for each …type of defects, realizing intelligent detection of geometric features of end-to-end multi-scale defects on the surface of parts. We conduct experiments using the collected parts datasets to evaluate the effectiveness of our framework. The experimental results show that the proposed model achieves MIoU of 80.1%, the recognition accuracy reaches more than 95 %, and a detection rate of up to 29.64 FPS, demonstrating the advancement and effectiveness of the proposed method with less misclassification and superior generalization performance and has progress and effectiveness in detecting surface defects of multi-scale features. It provides a research idea for the subsequent realization of surface quality inspection in the manufacturing process system. Show more

Keywords: Intelligent manufacturing, quality control, surface defects detection, multi-scale features, semantic segmentation

DOI: 10.3233/JIFS-223041

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6463-6481, 2023

Authors: Ruhin Kouser, R. | Manikandan, T.

Article Type: Research Article

Abstract: In Vehicular cloud computing (VCC), at the time of congestion, to deal with traffic, the vehicles’ underutilized resources are shared; subsequently, these resources aren’t constrained to computing power, storage, along with internet connectivity. Nevertheless, owing to the vehicular network characteristics, attaining the QoS requirements search together with the allocation of resources in the Vehicular Cloud (VC) has turned into a complicated task. An intelligent Square Shaped (SS)-Adaptive Neuro-Fuzzy Interference (SS-ANFIS) methodology for Resource Scheduling (RS) in addition to Mean-centered Penguins Search Optimization Algorithm (M-PeSOA) for Optimal Path Selection (OPS) in the VC is proposed here for efficient resource allocation. (a) …Feature extraction, (b) Vehicles clustering, (c) OPS, (d) Resource information extraction, and (e) RS included in the proposed methodology. First, the vehicular network is initialized following that the vehicle features are extracted. Next, Cluster Heads (CHs) are generated regarding which vehicles are clustered; subsequently, the multi-paths are generated. After that, by employing the M-PeSOA, the OPS procedure is conducted; thus, the VC’s resource information is extracted aimed at scheduling the resources efficiently. Lastly, by employing the SS-ANFIS, vehicles are scheduled in the optimal paths. The proposed resource allocation system’s performance is assessed, and the experiential outcomes are analogized using the sumo tool and java platform. Show more

Keywords: Vehicular cloud computing (VCC), cluster formation, resource scheduling, adaptive neuro-fuzzy interference (ANFIS), penguins search optimization algorithm (PeSOA), cluster heads (CHs), cockroach swarm optimization (CSO), multipath creation

DOI: 10.3233/JIFS-223522

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6483-6495, 2023

Authors: Xu, Chenguang | Zhang, Chao | Ma, Mingxi | Zhang, Jun

Article Type: Research Article

Abstract:  Blind image deconvolution has attracted growing attention in image processing and computer vision. The total variation (TV) regularization can effectively preserve image edges. However, due to lack of self-adaptability, it does not perform very well on restoring images with complex structures. In this paper, we propose a new blind image deconvolution model using an adaptive weighted TV regularization. This model can better handle local features of image. Numerically, we design an effective alternating direction method of multipliers (ADMM) to solve this non-smooth model. Experimental results illustrate the superiority of the proposed method compared with other related blind deconvolution methods.

Keywords: Blind deconvolution, Total variation regularization, Adaptive weighted matrix, ADMM

DOI: 10.3233/JIFS-223828

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6497-6511, 2023

Authors: Duan, Jun | Ren, Qi | Zhang, Baoshuai

Article Type: Research Article

Abstract: In order to analyze the impact of policy effect on carbon efficiency in the Yangtze River Economic Belt, an experimental group, including 11 regions possessing the features of the Yangtze River Economic Belt, was constructed using the synthetic control method for project evaluation with the single-factor carbon efficiency value as the core study variable in this paper. Several regions were selected from the control group as synthetic objects through a data-driven approach to construct synthetic regions that meet basic requirements before the implementation of the policy by weight ratio and evaluate the policy’s impact on the implementation of carbon efficiency …in the Yangtze River Economic Belt. The study shows that the single-factor carbon efficiency is relatively robust. But since 2013, the tail of the Yangtze River Economic Belt has seen an improvement. Sichuan, Hunan, Chongqing and Hubei have exceeded other provinces and cities in the growth of carbon efficiency and Shanghai has also witnessed a significant increase. Upon the inception of the synthetic Yangtze River Economic Belt, there’s a discernible divergence between the curves of the real and the synthetic Yangtze River Economic Belt. Specifically, policy interventions in the Yangtze River Economic Belt didn’t work well in earlier years and even restrained the economic growth of the whole region. Show more

Keywords: Synthetic control method, Yangtze River Economic Belt, carbon efficiency

DOI: 10.3233/JIFS-223571

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6513-6523, 2023

Authors: Guo, Zhuen | Lin, Li

Article Type: Research Article

Abstract: Designers refer to existing product cases and innovate products to develop new products. However, when designers screen product cases, there is no user participation, which leads to the lack of user-side knowledge and emotional drive that is very important for design. Therefore, it is necessary to play the role of user emotional knowledge in promoting the whole design process. This paper proposes the concept of the positive perceptual sample, which applies the knowledge emotion integration of designers and users to the screening sample case stage at the beginning of the design process. This study is based on the lack of …user-side knowledge and emotional drive of reference cases and integrates user emotion into the reference case screening process. Then, in the emotion measurement process, users’ cognitive data in the screening process are obtained through the eye-brain fusion cognitive experiment. Finally, the XGBoost algorithm is used to process feature index data to realize the classification and recognition of cognitive data and applied to the positive perceptual classification of products. The results show that the classification accuracy of physiological cognitive data with user emotional representation by the XGBoost algorithm is 90.87%. The results of cognitive data classification are applied to the screening of positive perceptual samples, and the satisfaction rate is 98.35%. The results show that the method proposed in this paper provides a new source of ideas for obtaining positive perceptual samples and can be applied to new product development. Show more

Keywords: Positive perceptual sample, cognitive data, machine learning, Kansei Engineering, eye-brain fusion

DOI: 10.3233/JIFS-222656

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6525-6543, 2023

Authors: Mahmood, Tahir | Ali, Zeeshan | Pamucar, Dragan

Article Type: Research Article

Abstract: To manage ambiguity and uncertainty information in real life problems, certain intellectuals have initiated numerous modifications of fuzzy sets. But, in certain situations, the decision-makers have been neglected to take a feasible decision. For instance, when an intellectual provides information in the form of a two-dimension or type-1 fuzzy set, then the prevailing theories have been neglected. For this, in this study, we elaborated the new idea of type-2 picture fuzzy sets (T2-PFS) and their algebraic laws have been given. Moreover, by using the T2-PFS, Hamacher aggregation operators are proposed and discussed their important properties. The Minkowski sorts of measures …under the T2-PFS are also initiated. In the current study, we aim to utilize the matrix game in a type-2 picture fuzzy environment. By using the proposed operators and measures based on the Hausdorff metric. The elaborated idea has been defined with the biogas-plant implementation dilemma to verify the pertinence and authenticity. Lastly, to discuss the sensitivity analysis and geometrical shown of the initiated works, certain examples are illustrated to determine the supremacy and consistency of the proposed approaches. Show more

Keywords: Type-2 picture fuzzy sets, Hamacher/Einstein/Algebraic aggregation operators, Minkowski type measures, biogas-plant implementation problems

DOI: 10.3233/JIFS-223009

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6545-6571, 2023

Authors: Geng, Ruijuan | Ji, Ying | Qu, Shaojian | Wang, Zheng

Article Type: Research Article

Abstract: The sudden COVID-19 epidemic has caused consumers to gradually switch to online shopping, the increasing number of online consumer reviews (OCR) on Web 2.0 sites has made it difficult for consumers and merchants to make decisions by analyzing OCR. Much of the current literature on ranking products based on OCR ignores neutral reviews in OCR, evaluates mostly given criteria and ignores consumers’ own purchasing preferences, or ranks based on star ratings alone. This study aims to propose a new decision support framework for the evaluation and selection of alternative products based on OCR. The decision support framework mainly includes three …parts: 1) Data preprocessing: using Python to capture online consumer comments for data cleaning and preprocessing, and extracting key features as evaluation criteria; 2) Sentiment analysis: using Naive Bayes to analyze the sentiment of OCR, and using intuitionistic fuzzy sets to describe the emotion score; 3) Benchmark analysis: a new IFMBWM-DEA model considering the preference of decision makers is proposed to calculate the efficiency score of alternative schemes and rank them according to the efficiency score. Then, the OCR of 15 laptops crawled from JD.com platform is used to prove the usefulness and applicability of the proposed decision support framework in two aspects: on the one hand, the comparison of whether the preference of decision makers is considered, and on the other hand, the comparison with the existing ranking methods. The comparison also proves that the proposed method is more realistic, the recommendations are more scientific and the complexity of the decision is reduced. Show more

Keywords: Intuitionistic fuzzy multiplicative best-worst method (IFMBWM), data envelopment analysis (DEA), online consumer reviews (OCR), product ranking, sentiment analysis

DOI: 10.3233/JIFS-223095

Citation: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 4, pp. 6573-6592, 2023