Journal of Intelligent & Fuzzy Systems - Volume 40, issue 6

Authors: Peng, Heng-ming | Wang, Xiao-kang | Wang, Tie-li | Liu, Ya-hua | Wang, Jian-qiang

Article Type: Research Article

Abstract: The successful diagnosis of nuclear power equipment failures plays a vital role in guaranteeing the safe operation of nuclear power systems. Failure mode and effect analysis (FMEA) is one of the most commonly used methods for identifying potential failures. However, several shortcomings associated with the conventional FMEA method limit its further application. This paper develops an extended FMEA approach based on hesitant fuzzy linguistic Z-numbers (HFLZNs). Firstly, the concept of HFLZNs is proposed to describe the evaluation information, which inherits the prominent features of the hesitant fuzzy linguistic term set and linguistic Z-numbers (LZNs). Secondly, an HFLZN assessment method is …developed to determine the weights of risk factors, and the weights of experts are measured based on hesitation degree. Subsequently, considering the psychological characteristics of decision makers, Tomada de Decisão Iterativa Multicritério and LZNs are integrated to obtain the risk ranking of failure modes. Finally, the practicability of the extended FMEA method is proven by an illustrative example concerning the risk evaluation of a nuclear main pump bearing, and its robustness is verified by indepth analysis. Show more

Keywords: Nuclear power equipment, failure mode and effect analysis, hesitant fuzzy linguistic term set, linguistic Z-numbers, TODIM

DOI: 10.3233/JIFS-201154

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10489-10505, 2021

Authors: Wang, Man | Zhou, Jia | Lin, Huazhi

Article Type: Research Article

Abstract: User generated content on web serves as a valuable source of information for both companies and consumers. Scholars have analyzed emotional polarity of the reviews to study customer satisfaction, but the dominant factors are not explained accurately by numerical ratings solo and the simplistic-categories of emotional polarity. This paper investigates the service attributes and detailed emotions effecting consumer satisfaction using deep learning, to explore how consumption satisfaction is influenced by emotions and what factors arouse the certain emotion. First, more than 120,000 online hotel reviews related were retrieved. Second, a novel and dataset-based seven-dimensional evaluation system, applying the BERT model …was proposed. This solves the problem of polysemous words, and can more accurately reflect the service attributes consumers really care about. In particular, the analysis reveals that the overall consumer satisfaction is affected by key service attributes including service, cleanliness, equipment, price, location, internet and catering, among which the cleanliness attributes has the greatest impact. Lastly, the latest Kismet emotional recognition method was adopted to effectively identify the emotional polarity and 11 detailed emotions. The regression relationship between emotion and overall satisfaction was also verified, which enabled a more accurate analysis for consumption emotions and satisfaction. Show more

Keywords: User generated content, service attributes, hotels, sentiment analysis, consumer satisfaction

DOI: 10.3233/JIFS-201207

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10507-10522, 2021

Authors: Gu, Yujie | Zhao, Yuxiu | Zhou, Jian | Li, Hui | Wang, Yujie

Article Type: Research Article

Abstract: Air quality index (AQI) is an indicator usually issued on a daily basis to inform the public how good or bad air quality recently is or how it will become over the next few days, which is of utmost importance in our life. To provide a more practicable way for AQI prediction, so that residents can clear about air conditions and make further plans, five imperative meteorological indicators are elaborately selected. Accordingly, taking these indicators as independent variables, a fuzzy multiple linear regression model with Gaussian fuzzy coefficients is proposed and reformulated, based on the linearity of Gaussian fuzzy numbers …and Tanaka’s minimum fuzziness criterion. Subsequently, historical data in Shanghai from March 2016 to February 2018 are extracted from the government database and divided into two parts, where the first half is statistically analyzed and used for formulating four seasonal fuzzy linear regression models in views of the special climate environment of Shanghai, and the second half is used for prediction to validate the performance of the proposed model. Furthermore, considering that there is beyond dispute that triangular fuzzy number is more prevalent and crucial in the field of fuzzy studies for years, plenty of comparisons between the models based on the two types of fuzzy numbers are carried out by means of the three measures including the membership degree, the fuzziness and the credibility. The results demonstrate the powerful effectiveness and efficiency of the fuzzy linear regression models for AQI prediction, and the superiority of Gaussian fuzzy numbers over triangular fuzzy numbers in presenting the relationships between the meteorological factors and AQI. Show more

Keywords: air quality index prediction, fuzzy linear regression model, Gaussian fuzzy number, meteorological factors

DOI: 10.3233/JIFS-201222

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10523-10547, 2021

Authors: Ning, Tao | An, Lu | Duan, Xiaodong

Article Type: Research Article

Abstract: According to the problem of large amount of carbon emissions during the cold chain distribution process, a cold chain distribution route optimization method for fresh agricultural products under the carbon tax mechanism was proposed. Firstly, with the goal of minimizing carbon emission cost and comprehensive cost, quantitative analysis of carbon tax mechanism is introduced, considering the demand quantity, demand time and unloading time constraints, a mathematical model of the problem is established. In addition, an improved quantum bacterial foraging optimization algorithm is put forward, which uses the bacterial optimization algorithm information update strategy to maintain group memory, and uses the …carbon tax cost as the decision variable of the improved algorithm. Through experimental simulation, comparative analysis of the shortest distribution path, uninitialized pheromone bacterial foraging optimization algorithm and quantum bacterial foraging optimization algorithm on the last selected study model, the method proposed in this thesis can effectively optimize the distribution path, reduce carbon tax cost and comprehensive cost. Show more

Keywords: Vehicle routing problem, carbon tax, quantum bacterial foraging optimization algorithm, cold chain logistics

DOI: 10.3233/JIFS-201241

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10549-10558, 2021

Authors: Hong, Jie | Qin, Xiansheng

Article Type: Research Article

Abstract: Over past two decades, steady-state evoked potentials (SSVEP)-based brain computer interface (BCI) systems have been extensively developed. As we all know, signal processing algorithms play an important role in this BCI. However, there is no comprehensive review of the latest development of signal processing algorithms for SSVEP-based BCI. By analyzing the papers published in authoritative journals in nearly five years, signal processing algorithms of preprocessing, feature extraction and classification modules are discussed in detail. In addition, other aspects existed in this BCI are mentioned. The following key problems are solved. (1) In recent years, which signal processing algorithms are frequently …used in each module? (2) Which signal processing algorithms attract more attention in recent years? (3) Which modules are the key to signal processing in BCI field? This information is very important for choosing the appropriate algorithms, and can also be considered as a reference for further research. Simultaneously, we hope that this work can provide relevant BCI researchers with valuable information about the latest trends of signal processing algorithms for SSVEP-based BCI systems. Show more

Keywords: Steady-state visual potentials (SSVEP), brain computer interface (BCI), signal processing, feature extraction, classification

DOI: 10.3233/JIFS-201280

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10559-10573, 2021

Authors: Islam, Sk Rabiul | Pal, Madhumangal

Article Type: Research Article

Abstract: The Zagreb index (ZI) is a very important graph parameter and it is extensively used in molecular chemistry, spectral graph theory, network theory and several fields of mathematics and chemistry. In this article, the first ZI is studied for several fuzzy graphs like path, cycle, star, fuzzy subgraph, etc. and presented an ample number of results. Also, it is established that the complete fuzzy graph has maximal first ZI among n -vertex fuzzy graphs. Some bounds of first ZI are discussed for Cartesian product, composition, union and join of two fuzzy graphs. An algorithm has been designed to calculate the …first ZI of a fuzzy graph. At the end of the article, a multi-criteria decision making (MCDM) method is provided using the first ZI of a fuzzy graph to find the best employee in a company. Also a comparison is provided among related indices on the result of application and shown that our method gives better results. Show more

Keywords: Fuzzy graph, First Zagreb index, MCDM

DOI: 10.3233/JIFS-201293

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10575-10587, 2021

Authors: Zhang, Mu | Li, Si-si | Zhao, Bi-bin

Article Type: Research Article

Abstract: In view of the problem that it is difficult to quantitatively assess the interactivity between attributes in the identification process of 2-order additive fuzzy measure, this work uses the intuitionistic fuzzy sets (IFSs) to describe and deal with the interactivity between attributes. Firstly, the interactivity between attributes is defined by the supermodular game theory. On this basis, the experts employ the intuitionistic fuzzy number (IFN) to assess the interactivity between attributes, Secondly, the opinions of all experts are aggregated by using the intuitionistic fuzzy weighted average operator (IFWA). Finally, based on the aggregated results, the intuitionistic fuzzy interaction degree between …attributes is defined and calculated by the score function of IFN. Thus, a 2-order additive fuzzy measure identification method based on IFSs is further proposed. Based on the proposed method, using the Choquet fuzzy integral as nonlinear integration operator, a multi-attribute decision making (MADM) process is presented. Taking the credit evaluation of the big data listed companies in China as an application example, the feasibility and effectiveness of the proposed method is verified by the analysis results of application example. Show more

Keywords: Interactivity between attributes, intuitionistic fuzzy sets, 2-order additive fuzzy measure, choquet fuzzy integral, multi-attribute decision making, credit evaluation

DOI: 10.3233/JIFS-201368

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10589-10601, 2021

Authors: Liu, Feiqiang | Chen, Lihui | Lu, Lu | Jeon, Gwanggil | Yang, Xiaomin

Article Type: Research Article

Abstract: Infrared (IR) and visible (VIS) image fusion technology combines the complementary information of the same scene from IR and VIS imaging sensors to generate a composite image, which is beneficial to post image-processing tasks. In order to achieve good fusion performance, a method by combining rolling guidance filter (RGF) and convolutional sparse representation (CSR) is proposed. In the proposed method, RGF is performed on every pre-registered IR and VIS source images to obtain their detail layers and base layer. Then, the detail layers are fused with a serious of weighted coefficients produced by joint bilateral filer (JBF). The base layer …is decomposed into a sub-detail-layer and a sub-base-layer. CSR is applied to fuse the sub-detail-layer and averaging strategy is used to fuse the sub-base-layer. Finally, the fused image is reconstructed by adding the fused detail layer and base layer. Experimental results demonstrate the superiority of our proposed method both in subjective and objective assessment. Show more

Keywords: Image fusion, rolling guidance filter, joint bilateral filer, convolutional sparse representation

DOI: 10.3233/JIFS-201494

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10603-10616, 2021

Authors: Zhu, Huiqi | Jiang, Tianhua | Wang, Yufang | Deng, Guanlong

Article Type: Research Article

Abstract: For the job shop with variable processing speeds, the aim of energy saving and consumption reduction is implemented from the perspective of production scheduling. By analyzing the characteristics of the workshop, a multi-objective mathematical model is established with the objective of reducing the total energy consumption and shortening the makespan. A multi-objective discrete water wave optimization (MODWWO) algorithm is proposed for solving the problem. Firstly, a two-vector encoding method is adopted to divide the scheduling solution into two parts, which represent speed selection and operation permutation in the scheduling solution, respectively. Secondly, some dispatching rules are used to initialize the …population and obtain the initial scheduling solutions. Then, three operators of the basic water wave optimization algorithm are redesigned to make the algorithm adaptive for the multi-objective discrete scheduling problem under study. A new propagation operator is presented with the ability of balancing global exploration and local exploitation based on individual rank and neighborhood structures. A novel refraction operator is designed based on crossover operation, by which each individual can learn from the current best individual to absorb better information. And a breaking operator is modified based on the local search strategy to enhance the exploitation ability. Finally, extensive simulation experiments demonstrate that the proposed MODWWO algorithm is effective for solving the considered energy-saving scheduling problem. Show more

Keywords: Job shop, energy-saving scheduling, total energy consumption, makespan, multi-objective discrete water wave optimization

DOI: 10.3233/JIFS-201522

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10617-10631, 2021

Authors: Yang, Jie | Luo, Tian | Zhao, Fan | Li, Shuai | Jin, Xin

Article Type: Research Article

Abstract: Based on the granular computing and three-way decisions theory, the sequential three-way decisions (S3WD) model implements the idea of progressive computing. However, almost S3WD models are established based on labeled information system, and there is still a lack of S3WD model for processing unlabeled information system (UIS). In this paper, to solve the issue of given accepted number for UIS, a data-driven sequential three-way decisions (DDS3WD) model is proposed. Firstly, from the perspective of similarity computed by TOPSIS, a general three-way decisions model for UIS based on decision risk is presented and its shortcomings are analyzed. Then, a concept of …optimal density difference is defined to establish the DDS3WD model for UIS by updating attributes. Finally, the related experiments show that DDS3WD is feasible and effective for dealing with UIS under the condition of given accepted number of objects. Show more

Keywords: Sequential three-way decisions, unlabeled information system, data-driven, optimal density difference

DOI: 10.3233/JIFS-201527

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 6, pp. 10633-10644, 2021