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

Authors: Li, Bingjie

Article Type: Research Article

Abstract: With the proposal of “One Belt One Road” initiative, more and more technology-driven enterprises in China are going abroad for foreign direct investment (FDI). Thus, how to correctly assess and reasonably prevent OFDI risk have become urgent tasks for enterprises. This paper takes 20 countries along the “Belt and Road” as the research object and combines the characteristics of technology-oriented enterprises to determine the risk assessment indicators at all levels from four aspects: politics and policy, economy and finance, society and culture, and technological risks. Using fuzzy cluster analysis, the countries along the “Belt and Road” are classified into four …groups: low, medium-low, medium-high, and high risks, and corresponding countermeasures are proposed: technology-oriented enterprises should raise their political risk awareness, comprehensively assess the economic and financial environment of host countries before making FDIs, implement “localized” operation and management, and pay attention to the protection of intellectual property rights. Show more

Keywords: “One Belt One Road” initiative, technology-based enterprises, OFDI, risk assessment

DOI: 10.3233/JIFS-189907

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2021

Authors: George, Sheeja P. | Isaac, Johney | Philip, Jacob

Article Type: Research Article

Abstract: A higher operating frequency is desirable for Surface Acoustic Wave (SAW) based sensors as they become more sensitive at high frequencies. The acoustic wave gets more confined near the surface at high frequencies and become more sensitive to the external stimulations. This makes SAW devices a suitable device for sensing gaseous state chemicals. SAW devices have become the basic building block of wireless sensor networks with its advantages enabling remote sensing. In this paper, a SAW based Hydrogen sensor is realized through the Finite Element Analysis tool ANSYS. Hydrogen even though has a significant role in many industries, its explosive …nature demands constant monitoring. SAW delay line made up of XY-LiNbO3 as substrate with a thin layer of Palladium coated along the delay length as the sensing element is modeled. Palladium with its high affinity for Hydrogen absorbs the same and undergoes changes in properties like density and stiffness. This disturbs the surface wave propagation and in turn, affects the operating frequency which is the sensor response parameter. The frequency shift of 1.91 MHz for Hydrogen concentration of 0.3 a.f. as compared to 0.49 MHz with YZ- LiNbO3. The operating frequency also shifts to a higher range as the acoustic velocity of the substrate increases. Show more

Keywords: SAW, gas sensor, wireless sensor, FEM, ANSYS

DOI: 10.3233/JIFS-189895

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

Authors: Jiali, Jiang | Jun, Wang

Article Type: Research Article

Abstract: With the accelerated urbanization progress, the governmental financial funds fail to satisfy the needs of highway project construction in some areas. The building-transfer (BT) model and public-private partnership (PPP) model have been carried out in succession in China to solve the shortage of financial funds. However, the emotion analysis method in Guide of Value for Money Evaluation for PPP Project (trial) enacted by the Ministry of Finance is of great subjectivity when applied to the calculation of risk quantification, which is the key to quantitative evaluation, so it is in urgent need of perfection through scientific methods to promote the …implementation of PPP projects. On this basis, under the research background of conversion of a highway stock project from BT model to PPP model in city Z, the fuzzy analytic hierarchy process (HAHP) and set-valued statistics method were applied to the method improvement for the risk quantification part of value for money (VFM) evaluation cases in this project. The results show that the VFM (calculated based on the improved risk quantification method) of the BT-to-PPP model for the highway stock project in city Z is elevated from the original 248,240,000 RMB to 271,643,500 RMB. The conclusions can provide a certain reference basis for further improving China’s VFM evaluation system, and boosting the development of PPP model in China. Show more

Keywords: Value for money, risk evaluation, quantification, PPP model

DOI: 10.3233/JIFS-189922

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

Authors: Sheng, Feng | Yang, Peng

Article Type: Research Article

Abstract: The mental health of adolescents not only affects their own healthy growth and success, but is also related to the future of the country and the development of the whole society. Based on the assessment and early warning of adolescents’ psychological problems, different ways to improve adolescents’ health literacy according to the psychological characteristics of adolescents at different ages were explored in this study. The methods of relative superior degree matrix evaluation, entropy value method, coefficient of variation method, subjective and objective weighting method and other methods were employed to establish the fuzzy comprehensive evaluation classification model. MATLAB, SPSS and …other software were used for programming to analyze the impact of risk preference, cognitive needs, and decision-making style on the risk of psychological problems of teenagers. The obtained evaluation criterion was used to evaluate the psychological status of respondents. Finally, this study analyzed and established the early-warning mechanism based on the structure model in the system engineering theory, and proposed reasonable solutions to alleviate the risk of psychological problems from the perspective of reality and combines with conclusions. Show more

Keywords: Fuzzy evaluation, psychological risk, adolescent, health literacy

DOI: 10.3233/JIFS-189903

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2021

Authors: Isaeva, Ekaterina | Rocha, Alvaro

Article Type: Research Article

DOI: 10.3233/JIFS-189896

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-4, 2021

Authors: Zhang, Yanqing | Jing, Hongjun | Dai, Jun

Article Type: Research Article

Abstract: High rockfill embankment is widely applied to high-grade highways in mountainous areas, and its stable operation can significantly promote traffic and economic development. In this study, a stability evaluation model of high rockfill embankment was constructed based on fuzzy mathematics theory to realize effective and rapid evaluation. Considering representativeness and easy operability, 5 level-1 factor indexes and 16 level-2 factor indexes were determined from different perspectives of embankment fillers, slope conditions, hydraulic conditions, slope protection, and other factors. Weights of different factor indexes were allocated using analytic hierarchy process and all factor indexes were quantified and classified using the fuzzy …statistical method according to stability level. Reliabilities of factor indexes were combined with reliability theory for analysis. Finally, the reasonability of the proposed fuzzy evaluation model was verified through application in the high rockfill embankment engineering on the secondary highway of the National Highway 316 from Xunyang to Ankang in Shaanxi Province, China. Results demonstrate that the reliability of this high rockfill embankment is 0.8671 and the final score of the evaluation system is 73.1619, indicating stability. Therefore, the proposed fuzzy evaluation model is reasonable and feasible to evaluate stability of high rockfill embankment, and can provide references for future design. Show more

Keywords: High rockfill embankment, stability, reliability, analytic hierarchy process, fuzzy synthetic evaluation

DOI: 10.3233/JIFS-189898

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

Authors: Liu, Wei | Feng, Wenlong | Huang, Mengxing | Han, Huirui | Han, Guilai | Lin, Jialun

Article Type: Research Article

Abstract: The Hainan Island has a generally high biological diversity with a wide variety of plant species, some of which are listed as endemic to the island. It is time-consuming and difficult, even for the botanist experts to determine the name of species based on observations. Automated plant identification enables experts to process significantly greater numbers of plants with higher efficiencies in shorter periods of time. However, plant recognition is a kind of fine-grained visual recognition problem, which is relatively harder than conventional image recognition. In this paper, we employ a Deep Convolutional Neural Network (DCNN) trained on the ImageNet database, …which contains millions of images, and then transfer the learning information for automated plant identification based on flower and fruit images. First, we modify the last three layers of the pre-trained network in order to adapt ResNet-50 model to our classification task, and replace the fully connected layer in the original pre-trained network with another fully connected layers, in which the output size represents the class of plants. Secondly, we use transfer experience and fine-tuned pre-trained DCNN for experiments using flower and fruit images. Finally, we evaluate the proposed network on two available botanical datasets: the Oxford flowers dataset with 102 classes and the HNPlant flowers and fruits dataset with 20 classes, and determine the optimal values of the associated hyperparameters to improve the overall performance. Experiment results demonstrate that the highest classification accuracies exhibited by the proposed model on the Oxford-102 and HNPlant-20 datasets are 92.4% and 95.0%, respectively, thus establishing their effectiveness and superiority. Show more

Keywords: Deep convolutional neural network, transfer learning, plant identification, flower and fruit classification

DOI: 10.3233/JIFS-189905

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

Authors: Jing, Hongjun | Gao, Meng | Song, Lichen | Liu, Qian

Article Type: Research Article

Abstract: Cold recycling of asphalt pavement is important in realizing sustainable development of highway transportation. Understanding change laws of cold recycled asphalt pavement (RAP) performance is important in the correct evaluation of pavement quality and scientific formulation of maintenance strategies. Various performance indexes were analytically demonstrated to predict and evaluate change laws of the cold RAP performance. The proposed cold recycled pavement evaluation indexes were divided into three fuzzy grades of evaluation indexes and subindexes. Integral algorithms from four indexes, namely, pavement surface condition index, riding quality index, rutting depth index, and pavement structure strength index (PSSI), were combined on the …basis of the traditional gray prediction model GM (1,1). Index weights were determined according to improved analytic hierarchy process, and a performance index database system based on historical data was established for the cold RAP. Finally, an evaluation system was set up on the basis of the prediction model GM (1,1), and prediction and evaluation results were analyzed with existing data. Results showed the excellent performance of the proposed method with the maximum weight of PSSI and a cold recycled pavement evaluation index score of 77.45. Goodness of fit between the prediction curve and original data is favorable with minimal relative errors. The curve analysis of evaluation indexes demonstrated the satisfactory performance of the pavement with the overall slow declining trend of pavement performance indexes. The research results of this study can provide a reference for evaluating performance variation trends of road network-level cold RAPs. Show more

Keywords: Road engineering, cold recycled asphalt pavement, big data, fuzzy prediction, fuzzy evaluation

DOI: 10.3233/JIFS-189899

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

Authors: Liu, Peide | Mahmood, Tahir | Ali, Zeeshan

Article Type: Research Article

Abstract: Complex q-rung orthopair fuzzy set (CQROFS) is a proficient technique to describe awkward and complicated information by the truth and falsity grades with a condition that the sum of the q-powers of the real part and imaginary part is in unit interval. Further, Schweizer–Sklar (SS) operations are more flexible to aggregate the information, and the Muirhead mean (MM) operator can examine the interrelationships among the attributes, and it is more proficient and more generalized than many aggregation operators to cope with awkward and inconsistence information in realistic decision issues. The objectives of this manuscript are to explore the SS operators …based on CQROFS and to study their score function, accuracy function, and their relationships. Further, based on these operators, some MM operators based on PFS, called complex q-rung orthopair fuzzy MM (CQROFMM) operator, complex q-rung orthopair fuzzy weighted MM (CQROFWMM) operator, and their special cases are presented. Additionally, the multi-criteria decision making (MCDM) approach is developed by using the explored operators based on CQROFS. Finally, the advantages and comparative analysis are also discussed. Show more

Keywords: Complex q-rung orthopair fuzzy sets, Schweizer-Sklar Muirhead means operators, multi-criteria decision making

DOI: 10.3233/JIFS-202440

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-23, 2021

Authors: Chen, Guoyi | Zhang, Jiansheng | Zhang, Shangmin | Yan, Bangquan

Article Type: Research Article

Abstract: With the fierce competition under the background of knowledge-based economy, tourism enterprises are increasingly aware that they must turn their focus from traditional products to customers for the sake of survival and development. Integrating the customer relationship management and knowledge management, the customer knowledge management (CKM) has aroused higher attention from the tourism enterprises. As for how to determine the factors influencing the Customer knowledge management competence (CKMC) of tourism enterprises and their weights, an index system was established for evaluating CKMC of tourism enterprises based on the balanced score card (BSC) and knowledge management process, the weight design and …consistency check of the indexes were implemented using the analytic hierarchy process (AHP), and the overall evaluation value and concrete index scores at all levels were obtained via the fuzzy comprehensive evaluation model. In the end, the scientificity and operability of the evaluation model were verified through an empirical analysis of China Youth Travel Service (CYTS). The results show that: (1) The business process, customer communication, system support, and market performance are important level I indexes used to measure the CKMC; (2) The key Level II factors influencing the CKMC of enterprises include customer knowledge sharing mechanism, timeliness of customer communication, degree of importance attached by senior leadership, and customer acquisition rate; (3) The evaluation model based on AHP and fuzzy evaluation method can objectively describe the overall up-to-standard degree of enterprises’ CKMC, and clearly identify the strengths and weaknesses. This research shows that the combination of AHP and fuzzy evaluation-based method is capable of more scientific and complete evaluation of CKMC, compensates for the deficiencies of single evaluation model, and provides a new method for the effective improvement of enterprises’ CKMC. Show more

Keywords: Fuzzy comprehensive evaluation method, analytic hierarchy process, customer knowledge management competence

DOI: 10.3233/JIFS-189902

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