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A group decision framework for core competitiveness evaluation of small and medium-sized foreign trade enterprises under probabilistic linguistic term sets 概率语言术语集下中小外贸企业核心竞争力评价的群体决策框架
IF 0.7 Q3 Engineering Pub Date : 2023-12-21 DOI: 10.3233/kes-230101
Xueyu Zhang, Wenyong Li
Since the reform and opening up, China’s foreign trade has developed rapidly. The import and export trade volume has doubled, and the team of foreign trade enterprises is constantly expanding. After China’s accession to the WTO and the liberalization of foreign trade management rights, a group of small and medium-sized foreign trade enterprises have grown up in recent years and are becoming a new force in the development of China’s foreign trade industry. So, how to make these enterprises grow and grow in the international market competition, and focus on cultivating the core competitiveness of small and medium-sized foreign trade enterprises, has become a strategic issue related to the overall development of foreign trade. Recently, COmbinative Distance-based ASsessment (CODAS) method computes the Euclidean distances as the primary measure and Hamming distances as the secondary measure to assess alternatives based on predetermined attribute. Moreover, the probabilistic linguistic term sets (PLTSs) are effective tool for depicting uncertainty of the multiple attribute group decision making (MAGDM) problems. The core competitiveness evaluation of small and medium-sized foreign trade enterprises is a classical MAGDM. In this paper, the CODAS method is extended to the MAGDM with PLTSs. Firstly, the definition of PLSs is introduced. Then, on the basis of the classical CODAS method, the PL-CODAS method is proposed to cope with MAGDM under PLTSs and its significant characteristic is that it can fully consider PLED and PLHD. Finally, a practical example for core competitiveness evaluation of small and medium-sized foreign trade enterprises is given to verify the developed approach and some comparative analysis was also given to verify the PL-CODAS approach.
改革开放以来,中国对外贸易发展迅速。进出口贸易额成倍增长,外贸企业队伍不断扩大。中国加入世贸组织和放开外贸经营权后,近年来一批中小外贸企业成长起来,正在成为中国外贸行业发展的生力军。因此,如何使这些企业在国际市场竞争中成长壮大,着力培育中小外贸企业的核心竞争力,已成为关系外贸发展全局的战略问题。近年来,基于距离的综合评估(CODAS)方法以欧氏距离为主要度量,以汉明距离为次要度量,根据预定属性对备选方案进行评估。此外,概率语言术语集(PLTS)是描述多属性分组决策(MAGDM)问题不确定性的有效工具。中小型外贸企业的核心竞争力评价就是典型的多属性群体决策(MAGDM)问题。本文将 CODAS 方法扩展到带有 PLTSs 的 MAGDM。首先,介绍了 PLS 的定义。然后,在经典 CODAS 方法的基础上,提出了 PL-CODAS 方法来应对 PLTS 下的 MAGDM,其显著特点是可以充分考虑 PLED 和 PLHD。最后,给出了一个中小型外贸企业核心竞争力评价的实际案例来验证所开发的方法,并给出了一些比较分析来验证 PL-CODAS 方法。
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引用次数: 0
Adaptive multi-strategy particle swarm optimization for solving NP-hard optimization problems 用于解决 NP 难优化问题的自适应多策略粒子群优化法
IF 0.7 Q3 Engineering Pub Date : 2023-12-21 DOI: 10.3233/kes-230137
Houda Abadlia, Imhamed R. Belhassen, Nadia Smairi
Particle Swarm Optimization algorithm (PSO) has been widely utilized for addressing optimization problems due to its straightforward implementation and efficiency in tackling various test functions and engineering optimization problems. Nevertheless, PSO encounters issues like premature convergence and a lack of diversity, particularly when confronted with complex high-dimensional optimization tasks. In this study, we propose an enhanced version of the Island Model Particle Swarm Optimization (IMPSO), where island models are integrated into the PSO algorithm based on several migration strategies. The first contribution consists in applying a new selection and replacement strategies based on tabu search technique, while the second contribution consists in proposing a dynamic migration rate relying on the Biogeography-Based Optimization technique. To assess and validate the effectiveness of the proposed method, several unconstrained benchmark functions are applied. The obtained results confirm that the approach yield better performance than the old version of IMPSO for solving NP-hard optimization problems. Compared to the performance of other well-known evolutionary algorithms, the proposed approach is more efficient and effective.
粒子群优化算法(PSO)因其实施简单、处理各种测试功能和工程优化问题的效率高而被广泛用于解决优化问题。然而,PSO 会遇到过早收敛和缺乏多样性等问题,尤其是在面对复杂的高维优化任务时。在本研究中,我们提出了岛屿模型粒子群优化(IMPSO)的增强版,根据几种迁移策略将岛屿模型集成到 PSO 算法中。第一个贡献在于应用了基于塔布搜索技术的新选择和替换策略,第二个贡献在于提出了基于生物地理学优化技术的动态迁移率。为了评估和验证所提方法的有效性,应用了几个无约束基准函数。结果证实,在解决 NP 难优化问题时,该方法比旧版 IMPSO 性能更好。与其他著名的进化算法相比,所提出的方法更加高效和有效。
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引用次数: 0
Cricket data analytics: Forecasting T20 match winners through machine learning 板球数据分析:通过机器学习预测 T20 比赛的获胜者
IF 0.7 Q3 Engineering Pub Date : 2023-12-21 DOI: 10.3233/kes-230060
Sanjay Chakraborty, Arnab Mondal, Aritra Bhattacharjee, Ankush Mallick, Riju Santra, Saikat Maity, Lopamudra Dey
In the ever-evolving world of cricket, the T20 format has captured the imaginations of fans worldwide, intensifying the anticipation for match outcomes with each passing delivery. This study explores the realm of predictive analytics, leveraging the power of machine learning to alleviate the suspense by forecasting T20 cricket match winners before the first ball is bowled. Drawing on a rich dataset encompassing factors such as past team performance and rankings, a diverse ensemble of predictive models, including logistic regression, support vector machine (SVM), random forest, decision tree, and XGBoost, is meticulously employed. Among these, the random forest Classifier emerges as the standout performer, boasting an impressive prediction accuracy rate of 84.06%. To assess the real-world applicability of our predictive framework, a post-case study is conducted, focusing on the high-stakes World Cup T20 matches of 2022, where England emerges as the triumphant team. The dataset underpinning this study is meticulously curated from ESPN CricInfo, ensuring the robustness of our analysis. Moreover, this paper extends its contribution by offering a comprehensive comparative analysis, scrutinizing performance metrics such as accuracy, precision, recall, and the F1-score across benchmark machine learning models for cricket match prediction. This in-depth evaluation not only validates the efficacy of our models but also sheds light on their superior execution time and statistical robustness, further bolstering their utility in the realm of cricket outcome forecasting.
在不断发展的板球世界中,T20 赛制俘获了全世界球迷的心,每一次击球都让人们对比赛结果更加期待。本研究探索了预测分析领域,利用机器学习的力量,在第一球投出前预测 T20 板球比赛的胜负,从而缓解悬念。本研究利用丰富的数据集(包括球队过往表现和排名等因素),精心设计了一系列预测模型,包括逻辑回归、支持向量机(SVM)、随机森林、决策树和 XGBoost。其中,随机森林分类器表现突出,预测准确率高达 84.06%,令人印象深刻。为了评估我们的预测框架在现实世界中的适用性,我们进行了一项事后案例研究,重点关注 2022 年世界杯 T20 高风险比赛,英格兰队在比赛中取得了胜利。本研究的数据集由 ESPN CricInfo 精心整理而成,确保了我们分析的稳健性。此外,本文还提供了全面的比较分析,仔细研究了板球比赛预测基准机器学习模型的准确率、精确度、召回率和 F1 分数等性能指标,从而扩大了本文的贡献。这一深入评估不仅验证了我们模型的功效,还揭示了其卓越的执行时间和统计稳健性,进一步增强了其在板球比赛结果预测领域的实用性。
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引用次数: 0
ExpTODIM-driven framework for 2-tuple linguistic neutrosophic MAGDM with applications to teaching quality evaluation in higher education ExpTODIM 驱动的 2 元组语言中性 MAGDM 框架在高等教育教学质量评价中的应用
IF 0.7 Q3 Engineering Pub Date : 2023-11-16 DOI: 10.3233/kes-230094
Can Huang, Zongqian Cheng, Huimin Guo
Since the new century, the main theme of my country’s higher education is to improve the quality of teaching. To this end, the education administrative department and the vast number of colleges and universities have done a lot of work. Looking back, this teaching quality construction involving thousands of colleges and universities across the country has attracted much attention from all walks of life. The government as the organizer promotes the active participation of colleges and universities in the form of teaching evaluation under the leadership of administrative authority and the “quality engineering” project with resources and reputation, which has played a huge role in improving the teaching quality of colleges and universities. The teaching quality evaluation in higher education is a classical multi-attribute group decision-making (MAGDM) issue. Recently, the Exponential TODIM (ExpTODIM) method has been used to cope with MAGDM issues. The 2-tuple linguistic neutrosophic sets (2TLNSs) are used as a tool for characterizing uncertain information during the teaching quality evaluation in higher education. In this paper, the 2-tuple linguistic neutrosophic number ExpTODIM (2TLNN-ExpTODIM) is built to solve the MAGDM under 2TLNSs. In the end, a numerical case study for teaching quality evaluation in higher education is given to validate the proposed method. The main contribution of this paper is constructed: (1) the Exponential TODIM (ExpTODIM) method is extended to the PLTSs; (2) the 2-tuple linguistic neutrosophic number ExpTODIM (2TLNN-ExpTODIM) is built to solve the MAGDM under 2TLNSs; (3) Finally, a numerical case study for teaching quality evaluation in higher education is given to validate the proposed method.
新世纪以来,提高教学质量成为我国高等教育的主旋律。为此,教育行政部门和广大高校做了大量工作。回顾过去,这场涉及全国数千所高校的教学质量建设备受社会各界关注。政府作为组织者,以行政主管部门领导下的教学评估和有资源、有声誉的 "质量工程 "项目等形式推动高校积极参与,对高校教学质量的提高起到了巨大的推动作用。高校教学质量评价是一个经典的多属性群体决策(MAGDM)问题。最近,指数 TODIM(ExpTODIM)方法被用于解决 MAGDM 问题。在高等教育教学质量评价过程中,2 元组语言中性集(2TLNS)被用作表征不确定信息的工具。本文建立了 2 元组语言中性数 ExpTODIM(2TLNN-ExpTODIM)来求解 2TLNS 下的 MAGDM。最后,给出了一个高等教育教学质量评价的数值案例研究,以验证所提出的方法。本文的主要贡献在于:(1)将指数 TODIM(ExpTODIM)方法扩展到 PLTSs;(2)建立了 2 元组语言中性数 ExpTODIM(2TLNN-ExpTODIM)来求解 2TLNSs 下的 MAGDM;(3)最后,给出了一个高等教育教学质量评价的数值案例研究来验证所提出的方法。
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引用次数: 0
MABAC-based evaluation of multimedia technology application effect in film and television post-production 基于 MABAC 的影视后期制作多媒体技术应用效果评估
IF 0.7 Q3 Engineering Pub Date : 2023-11-16 DOI: 10.3233/kes-230074
Pei Sun
Computer multimedia technology first appeared in the late 1980s, which is a functional upgrade based on the development of digital technology. It can achieve functions such as information collection, processing, and storage. Multimedia technology has received widespread attention in the entire computer field and has become a popular technology. Against the backdrop of continuous technological development, various electronic products are presented to people, bringing convenience to their lives. At the same time, they also play a huge role in the work of some industries. The application of multimedia technology, advanced editing software, and digital equipment in the production of video works can present good results and showcase excellent film and television works for people. The application effect evaluation of multimedia technology in the film and television post-production is frequently viewed as a multi-attribute group decision-making (MAGDM) issue. The maximizing deviation method was used to obtain the weight information under intuitionistic fuzzy sets (IFSs). Depending on the MABAC (multi-attributive border approximation area comparison) method and IFSs, this paper design the intuitionistic fuzzy MABAC (IF-MABAC) method to assess the application effect evaluation of multimedia technology in the film and television post-production. Eventually, an example about application effect evaluation of multimedia technology in the film and television post-production and some comparative analysis have been employed to verify the superiority of the designed IF-MABAC method.
计算机多媒体技术最早出现于 20 世纪 80 年代末,是在数字技术发展基础上的功能升级。它可以实现信息采集、处理、存储等功能。多媒体技术受到了整个计算机领域的广泛关注,已经成为一种流行技术。在科技不断发展的背景下,各种电子产品呈现在人们面前,为人们的生活带来了便利。与此同时,它们也在一些行业的工作中发挥着巨大的作用。在影视作品的制作中应用多媒体技术、先进的编辑软件和数字化设备,可以呈现出良好的效果,为人们展示优秀的影视作品。多媒体技术在影视后期制作中的应用效果评估通常被视为多属性群体决策(MAGDM)问题。在直觉模糊集(IFS)下,采用最大化偏差法获取权重信息。本文以 MABAC(多属性边界逼近区域比较)方法和 IFSs 为基础,设计了直觉模糊 MABAC(IF-MABAC)方法来评估多媒体技术在影视后期制作中的应用效果评价。最后,通过一个多媒体技术在影视后期制作中的应用效果评估实例和一些比较分析,验证了所设计的 IF-MABAC 方法的优越性。
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引用次数: 0
Projection measure-driven optimization of q-rung orthopair fuzzy MAGDM for computer network security evaluation 用于计算机网络安全评估的 q-rung 正对模糊 MAGDM 的投影测量驱动优化
IF 0.7 Q3 Engineering Pub Date : 2023-11-16 DOI: 10.3233/kes-230172
Yan Jiang, Xiuting Wang
The computer network environment is very complex, and there are many factors that need to be considered in the process of network security evaluation. At the same time, various factors have complex nonlinear relationships. Neural networks are mathematical models that simulate the behavioral characteristics of animal neural networks. They process information by adjusting the connection relationships of internal nodes, and have a wide range of applications in solving complex nonlinear relationship problems. The computer network security evaluation is multiple attribute group decision making (MAGDM) problems. In this paper, based on projection measure and bidirectional projection measure, we shall introduce four forms projection models with q-rung orthopair fuzzy sets (q-ROFSs). Furthermore, combine projection measure and bidirectional projection measure with q-ROFSs, we develop four forms of projection models with q-ROFSs. Based on developed weighted projection measure models, the multiple attribute group decision making (MAGDM) model is established and all computing steps are simply depicted. Finally, a numerical example for computer network security evaluation is given to illustrate this new model and some comparisons are also conducted to verify advantages of the new built methods.
计算机网络环境非常复杂,在网络安全评估过程中需要考虑的因素很多。同时,各种因素之间存在复杂的非线性关系。神经网络是模拟动物神经网络行为特征的数学模型。它们通过调整内部节点的连接关系来处理信息,在解决复杂的非线性关系问题方面有着广泛的应用。计算机网络安全评估属于多属性群体决策(MAGDM)问题。本文将在投影度量和双向投影度量的基础上,介绍四种形式的 q-rung 正对模糊集(q-ROFS)投影模型。此外,将投影度量和双向投影度量与 q-ROFSs 结合起来,我们将建立四种形式的 q-ROFSs 投影模型。基于所建立的加权投影度量模型,我们建立了多属性分组决策(MAGDM)模型,并简单描述了所有计算步骤。最后,我们给出了一个用于计算机网络安全评估的数值示例来说明这一新模型,并进行了一些比较来验证新方法的优势。
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引用次数: 0
Two-step model based on XGBoost for predicting artwork prices in auction markets 基于 XGBoost 的拍卖市场艺术品价格预测两步模型
IF 0.7 Q3 Engineering Pub Date : 2023-11-16 DOI: 10.3233/kes-230041
Kyoungok Kim, Jong Baek Kim
Art markets globally have grown, making artwork an investment of note. Precise valuation is pivotal for optimal returns. We introduce a two-step model with a two-level regressor, utilizing extreme gradient boosting (XGBoost) for accurate artwork price prediction. The model encompasses a price-class classifier and regressors for individual categories. This captures diverse factor influences, combining predictions to reduce misclassification risks. Visual features further enhance accuracy through the second-step two-level regressor. Experiments on Korean art auction data demonstrate the superiority of our two-step model with the two-level regressor over one-step and two-step alternatives, as well as the hedonic pricing model. While visual features affected one- and two-step models’ training, they boosted performance when integrated into the second-level decision tree, reducing first-level residuals. This emphasizes the two-level regressor’s efficacy in incorporating visual elements for artwork valuation. Our study highlights the potential of our approach in the field of artwork valuation.
全球艺术品市场不断发展壮大,使艺术品成为一项值得关注的投资。精确估价是获得最佳回报的关键。我们利用极端梯度提升(XGBoost)技术,引入了一个具有两级回归因子的两步模型,用于准确预测艺术品的价格。该模型包括一个价格类别分类器和各个类别的回归器。这样就能捕捉到各种因素的影响,并将预测结果结合起来,从而降低误分类风险。视觉特征通过第二步的两级回归器进一步提高了准确性。韩国艺术品拍卖数据的实验表明,我们的两步模型与两级回归器相比,优于一步和两步替代模型以及享乐定价模型。虽然视觉特征影响了一步法和两步法模型的训练,但当它们集成到二级决策树中时,却提高了性能,减少了一级残差。这强调了两级回归器在将视觉元素纳入艺术品估值方面的功效。我们的研究凸显了我们的方法在艺术品估价领域的潜力。
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引用次数: 0
Optimizing building material supplier selection through integrated interval-valued intuitionistic fuzzy multi-attribute decision making 基于集成区间值直觉模糊多属性决策的建材供应商选择优化
Q3 Engineering Pub Date : 2023-09-21 DOI: 10.3233/kes-221505
Haiyan Hu, Zhiqiang Ren
In engineering construction, the unavoidable issue is how to choose suitable suppliers. The quality of suppliers has a direct impact on the progress, quality, and cost of the project. The selection of suppliers for construction projects in water conservancy and hydropower engineering is directly related to the cost of construction enterprises, and large-scale construction projects have stricter requirements for cost control. The investment in engineering construction is very huge, so cost control ability is a very important assessment indicator for construction project construction, and the cost of materials is a significant part of the construction project cost. Therefore, the research on the selection and optimization of building material suppliers is a topic that cannot be ignored. The building material supplier selection is a multi-attribute decision making (MADM). In this paper, some calculating laws on IVIFSs, Hamacher sum, Hamacher product are introduced, and the induced interval-valued intuitionistic fuzzy Hamacher interactive ordered weighted averaging (IVIFHIOWA) operators (I-IVIFHIOWA) operator is proposed. Meanwhile, some ideal properties of I-IVIFHIOWA operator are studied. Then, the I-IVIFHIOWA operator is employed to cope with the MADM under IVIFSs. Finally, an example for building material supplier selection is employed to test the I-IVIFHIOWA operator.
在工程建设中,如何选择合适的供应商是一个不可回避的问题。供应商的质量直接影响到项目的进度、质量和成本。水利水电工程建设项目供应商的选择直接关系到施工企业的成本,大型建设项目对成本控制的要求更为严格。工程建设的投资是非常巨大的,因此成本控制能力是建设项目建设非常重要的考核指标,而材料成本是建设项目成本的重要组成部分。因此,对建材供应商的选择与优化的研究是一个不容忽视的课题。建筑材料供应商选择是一个多属性决策问题。介绍了IVIFSs、Hamacher和、Hamacher积的一些计算规律,提出了诱导区间值直觉模糊Hamacher交互有序加权平均算子(I-IVIFHIOWA)算子。同时,研究了I-IVIFHIOWA算子的一些理想性质。然后,采用I-IVIFHIOWA作业者处理IVIFSs下的MADM。最后,以建材供应商选择为例,对I-IVIFHIOWA算子进行了验证。
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引用次数: 0
Intelligent framework for multiple-attribute decision-making under probabilistic neutrosophic sets and its applications 概率中性集下多属性决策智能框架及其应用
Q3 Engineering Pub Date : 2023-09-21 DOI: 10.3233/kes-230095
Xiaobin Zheng
Highway engineering itself is a large-scale project with high construction safety requirements, involving multiple construction safety factors. In order to better ensure the orderly development of highway tunnel construction, it is necessary to strengthen construction safety evaluation. The construction safety management evaluation of highway engineering is viewed as the multiple-attribute decision-making (MADM) issue. In this paper, an extended probabilistic neutrosophic number TOPSIS (PNN-TOPSIS) method is established for construction safety management evaluation of highway engineering. The PNN-TOPSIS method integrated with CRITIC method in probabilistic neutrosophic sets (PNSs) circumstance is applied to rank the optional alternatives and a numerical example for construction safety management evaluation of highway engineering is used to proof the newly proposed method’s practicability along with the comparison with other methods. The results display that the approach is uncomplicated, valid and simple to compute.
公路工程本身是一项大型工程,施工安全要求高,涉及多个施工安全因素。为了更好地保证公路隧道施工的有序开展,有必要加强施工安全评价。将公路工程施工安全管理评价看作是一个多属性决策问题。本文建立了用于公路工程施工安全管理评价的扩展概率中性数TOPSIS (PNN-TOPSIS)方法。将PNN-TOPSIS方法与概率中性集(PNSs)环境下的CRITIC方法相结合,对可选方案进行排序,并以公路工程施工安全管理评价为例,验证了该方法的实用性,并与其他方法进行了比较。结果表明,该方法简单、有效、计算简单。
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引用次数: 0
A novel MABAC approach for multi-attribute group decision-making with single-valued neutrosophic sets: An application in assessing microfinance group lending performance 基于单值嗜中性集的多属性群体决策的MABAC新方法:在小额信贷群体贷款绩效评估中的应用
Q3 Engineering Pub Date : 2023-09-14 DOI: 10.3233/kes-221609
Hui Ran
In the 40 years of global microcredit practice, loan technology has played a positive role in microcredit as one of the most important supporting elements. The development and evolution of microcredit institution lending technology is the result of comprehensive consideration of specific regional economic, social, cultural, and geographical factors. In the context of the diversified trend of microcredit technology, choosing loan technology reasonably, exploring flexible guarantee conditions, and innovating diversified loan technology combinations will become practical problems faced by microcredit institutions, and also the direction of theoretical research. The timely innovation of group loan technology in microcredit has practical value and theoretical significance for promoting the innovation of financial agricultural products in the implementation of China’s rural revitalization strategy, as well as bridging the theoretical controversy of microcredit loan technology. The performance evaluation of microfinance groups lending is a MAGDM issues. In this paper, the distances measures of single-valued neutrosophic sets (SVNSs) and maximizing deviation method (MDM) is used to obtain the attribute weight values. Based on the classical Multi-Attributive Border Approximation area Comparison (MABAC) method, the single-valued neutrosophic numbers MABAC (SVNN-MABAC) method is constructed for MAGDM under SVNSs. Finally, an example for performance evaluation of microfinance groups lending and some comparative decision analysis are constructed to verify the SVNN-MABAC model.
在40年的全球小额信贷实践中,贷款技术作为小额信贷最重要的支撑要素之一,发挥了积极的作用。小额信贷机构贷款技术的发展和演变是特定区域经济、社会、文化和地理因素综合考虑的结果。在小额信贷技术走向多元化的背景下,合理选择贷款技术,探索灵活的担保条件,创新多样化的贷款技术组合,将成为小额信贷机构面临的现实问题,也是理论研究的方向。小额信贷群体贷款技术的适时创新,对于推动中国乡村振兴战略实施中金融农产品的创新,弥合小额信贷技术的理论争议,具有现实价值和理论意义。小额信贷集团贷款绩效评价是一个MAGDM问题。本文采用单值中性粒细胞集(SVNSs)的距离测度和偏差最大化法(MDM)获得属性权重值。在经典的多属性边界近似面积比较(multi - attribute Border Approximation area Comparison, MABAC)方法的基础上,构造了svns下MAGDM的单值嗜中性数MABAC (SVNN-MABAC)方法。最后,以小额信贷集团贷款绩效评价为例,通过比较决策分析对SVNN-MABAC模型进行了验证。
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引用次数: 0
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International Journal of Knowledge-Based and Intelligent Engineering Systems
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