Journal of Intelligent & Fuzzy Systems - Volume 40, issue 3

Authors: Tian, Zhun | Zhang, Shengrui

Article Type: Research Article

Abstract: With the development of the social economy, the level of motorization has been greatly improved, and the traffic safety problem has been paid more and more attention. In recent years, China’s road traffic accident rate showed a trend of decline after rising first, suggests that the Chinese road traffic safety level is on the decline. Road traffic safety evaluation has a positive effect in found risk factors of road traffic safety in time and reduce the traffic accident rate, so the study of traffic safety evaluation method is imperative. And the urban road traffic safety evaluation is frequently viewed as …the multi-attribute group decision-making (MAGDM) problem. Depending on the conventional VIKOR method and interval-valued intuitionistic fuzzy sets (IVIFSs), this paper designs a novel IVIF-VIKOR method to assess the urban road traffic safety. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria is [Z1] decided objectively by utilizing CRITIC method. Eventually, an application and some comparative analysis are given. The results show that the designed algorithms are useful for assessing the urban road traffic safety. Show more

Keywords: Multi-attribute group decision-making (MAGDM), interval-valued intuitionistic fuzzy sets (IVIFSs), VIKOR method, CRITIC method, urban road traffic safety

DOI: 10.3233/JIFS-202142

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5337-5346, 2021

Authors: Wang, Rui | Chen, Zhen-Song | Shuai, Bin | Chin, Kwai-Sang | Martínez, Luis

Article Type: Research Article

Abstract: The need of quick and comfortable public transportation in our societies makes that many countries are planning to develop a high-speed railway network for improving their passenger transport capacity. Such a development implies among other problems how to select the location of high-speed railway station (HSRS) in each city along the line? Thus, this paper introduces an integrated approach for solving the site selection problem of HSRS, which consists of a consensus reaching process (CRP) with a group decision making (GDM) method whose inputs are trapezoidal fuzzy neutrosophic set to model experts’ assessments of potential locations of HSRS. To accomplish …the decision process, the inputs should be weighted and aggregated with novel trapezoidal fuzzy neutrosophic prioritized aggregation operators to reflect the priority relationship between the aggregated information. The necessity of polishing conflicts in these decisions lead then to improve the experts’ agreement in the group, in our case, three consensus indexes at different levels are defined to implement the CRP. Eventually, the proposed CRP-GDM approach is put forward to solve the site selection issue of HSRS and a case of study is presented to illustrate its applications and advantages. Show more

Keywords: Key words: High-speed railway station, trapezoidal fuzzy neutrosophic set, prioritized aggregation operator, consensus reaching process

DOI: 10.3233/JIFS-202143

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5347-5367, 2021

Authors: Zhao, Zhihua | Li, Yupeng | Chu, Xuening

Article Type: Research Article

Abstract: Identifying defective design elements is a prerequisite for design improvements. Previous identification methods were implemented in the context of static customer requirements (CRs). However, CRs always evolve continuously, which easily leads to a failure of existing product functions in fulfilling customer expectations; this, in turn, can lead to a decline in customer satisfaction. In this study, the phenomenon is termed as ‘function obsolescence’, and a data-driven identification approach for obsolete functions is proposed for design improvements. Firstly, product operating data are employed to construct the observing parameters of functional performance (OPs), and based on the distribution of OPs, the desired …level of functional performance (DL) is defined to quantitatively characterise CRs. Secondly, the time series of DL is constructed to embody the evolution of CRs, in which a Sigmoid-like function is employed to establish a dissatisfaction function. With the time series, an obsolescence index measuring the severity of obsolescence for each function is defined to identify obsolete functions. A case study was implemented on a smart phone to identify its obsolete functions to demonstrate the effectiveness of the proposed methodology. The results show that some potentially obsolete functions can be identified by the proposed method considering the evolution of CRs. Show more

Keywords: Customer requirement evolution, observing parameters of functional performance, obsolete function, design improvement, Engineering design, product design, product development

DOI: 10.3233/JIFS-202144

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5369-5382, 2021

Authors: Deng, Jiawen | Li, Junqing | Li, Chengyou | Han, Yuyan | Liu, Qingsong | Niu, Ben | Liu, Lili | Zhang, Biao

Article Type: Research Article

Abstract: This paper investigates the electric vehicle routing problem with time windows and nonlinear charging constraints (EVRPTW-NL), which is more practical due to battery degradation. A hybrid algorithm combining an improved differential evolution and several heuristic (IDE) is proposed to solve this problem, where the weighted sum of the total trip time and customer satisfaction value is minimized. In the proposed algorithm, a special encoding method is presented that considers charging stations features. Then, a battery charging adjustment (BCA) strategy is integrated to decrease the charging time. Furthermore, a novel negative repair strategy is embedded to make the solution feasible. Finally, …several instances are generated to examine the effectiveness of the IDE algorithm. The high performance of the IDE algorithm is shown in comparison with two efficient algorithms. Show more

Keywords: Vehicle routing problem, time windows, nonlinear charging, differential evolution algorithm

DOI: 10.3233/JIFS-202164

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5383-5402, 2021

Authors: Li, Jing | Wen, Lingling | Wei, Guiwu | Wu, Jiang | Wei, Cun

Article Type: Research Article

Keywords: Similarity measure, distance measure, Pythagorean fuzzy sets, multiple criteria group decision making

DOI: 10.3233/JIFS-202212

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5403-5419, 2021

Authors: Çiftçioğlu, Gökçen A. | Kadırgan, Mehmet A. N. | Eşiyok, Ahmet

Article Type: Research Article

Abstract: Safety culture is a very complex phenomenon due to its intangible nature. It is tough to measure and express it with numerical values, as there is no simple indicator to measure it. This paper presents a fuzzy inference system that measures the safety culture. First of all, a safety culture assessment questionnaire is developed by utilizing related literature. The initial questionnaire had 29 items. The questionnaire is applied to 259 employees within the gun manufacturing factory. After making an exploratory factor analysis, the questionnaire is based on five factors with 25 items. The safety culture indicators are defined as; safety …follow-up audit reporting, employees’ self-awareness, operational safety commitment, management’s safety commitment, safety orientedness. Normality, reliability, and correlation analysis are performed. Then a fuzzy model is constructed with five inputs and one output. The inputs are the five factors mentioned above, and the output generated is the safety culture result, which is between 0-1. The presented fuzzy model produces reliable results indicating the safety culture level from the employees’ eyes. Beyond exploring the employees’ safety culture, the proposed model can easily be understood by the practitioners from various sectors. Furthermore, the model is straightforward to customize for various fields of industry. Show more

Keywords: Fuzzy logic, safety culture, safety culture assessment, safety perception, workplace safety

DOI: 10.3233/JIFS-202222

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5421-5431, 2021

Authors: Xu, Yu-Heng | Cheng, Si-Yi | Zhang, Hu-Biao

Article Type: Research Article

Abstract: To solve the problem of the missing data of radiator during the aerial war, and to address the problem that traditional algorithms rely on prior knowledge and specialized systems too much, an algorithm for radiator threat evaluation with missing data based on improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been proposed. The null estimation algorithm based on Induced Ordered Weighted Averaging (IOWA) is adopted to calculate the aggregate value for predicting missing data. The attribute reduction is realized by using the Rough Sets (RS) theory, and the attribute weights are reasonably allocated with the theory …of Shapley. Threat degrees can be achieved through quantization and ranking of radiators by constructing a TOPSIS decision space. Experiment results show that this algorithm can solve the incompleteness of radiator threat evaluation, and the ranking result is in line with the actual situation. Moreover, the proposed algorithm is highly automated and does not rely on prior knowledge and expert systems. Show more

Keywords: IOWA, Shapley, attribute reduction, TOPSIS, incompleteness

DOI: 10.3233/JIFS-202245

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5433-5442, 2021

Authors: Wang, Jie | Yan, Linhuang | Yang, Qiaohe | Yuan, Minmin

Article Type: Research Article

Abstract: In this paper, a single-channel speech enhancement algorithm is proposed by using guided spectrogram filtering based on masking properties of human auditory system when considering a speech spectrogram as an image. Guided filtering is capable of sharpening details and estimating unwanted textures or background noise from the noisy speech spectrogram. If we consider the noisy spectrogram as a degraded image, we can estimate the spectrogram of the clean speech signal using guided filtering after subtracting noise components. Combined with masking properties of human auditory system, the proposed algorithm adaptively adjusts and reduces the residual noise of the enhanced speech spectrogram …according to the corresponding masking threshold. Because the filtering output is a local linear transform of the guidance spectrogram, the local mask window slides can be efficiently implemented via box filter with O(N) computational complexity. Experimental results show that the proposed algorithm can effectively suppress noise in different noisy environments and thus can greatly improve speech quality and speech intelligibility. Show more

Keywords: Auditory masking properties, guided filtering, guided spectrogram filtering, spectrogram, speech enhancement

DOI: 10.3233/JIFS-202278

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5443-5454, 2021

Authors: Zhang, Haiyan | Luo, Yonglong | Yu, Qingying | Zheng, Xiaoyao | Li, Xuejing

Article Type: Research Article

Abstract: An accurate map matching is an essential but difficult step in mapping raw float car trajectories onto a digital road network. This task is challenging because of the unavoidable positioning errors of GPS devices and the complexity of the road network structure. Aiming to address these problems, in this study, we focus on three improvements over the existing hidden Markov model: (i) The direction feature between the current and historical points is used for calculating the observation probability; (ii) With regard to the reachable cost between the current road section and the destination, we overcome the shortcoming of feature rarefaction …when calculating the transition probability with low sampling rates; (iii) The directional similarity shows a good performance in complex intersection environments. The experimental results verify that the proposed algorithm can reduce the error rate in intersection matching and is suitable for GPS devices with low sampling rates. Show more

Keywords: Map-matching, hidden Markov model, link factor, reachable cost, directional similarity

DOI: 10.3233/JIFS-202292

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5455-5471, 2021

Authors: Wang, Dong | Zhao, Yong | Lin, Hong | Zuo, Xin

Article Type: Research Article

Abstract: Chinese fill-in-the-blank questions contain both objective and subjective characteristics, and thus it has always been difficult to score them automatically. In this paper, fill-in-the-blank items are divided into those with word-level or sentence-level granularity; then, the items are automatically scored by different strategies. The automatic scoring framework combines semantic dictionary matching and semantic similarity calculations. First, fill-in-the-blank items with word-level granularity are divided into two types of test sites: the subject term test site, and the common word test site. We propose an algorithm for identifying an item’s test site. Then, a subject term dictionary with self-feedback learning ability is …constructed to support the scoring of subject term test sites. The Tongyici Cilin semantic dictionary is used for scoring common word test sites. For fill-in-the-blank items with sentence-level granularity, an improved P-means model is used to generate a sentence vector of the standard answer and the examinee’s answer, and then the semantic similarity between the two answers is obtained by calculating the cosine distance of the sentence vector. Experimental results on actual test data show that the proposed algorithm has a maximum accuracy of 94.3% and achieves good results. Show more

Keywords: Fill-in-the-blank question, automatic scoring, dictionary matching, semantic similarity, word vector, sentence vector, subject terminology, P-means model

DOI: 10.3233/JIFS-202317

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 5473-5482, 2021