Int. J. Appl. Decis. Sci.最新文献_第4页

A production capacity optimisation model for a global supply chain coordinator 面向全球供应链协调者的产能优化模型

Int. J. Appl. Decis. Sci. Pub Date : 2018-10-04 DOI: 10.1504/IJADS.2018.095283

Snehamay Banerjee, D. Golhar, R. Gopalan

引用次数: 0

A risk-based emergency group decision method for haze disaster weather based on cumulative prospect theory 基于累积前景理论的雾霾灾害天气风险应急群决策方法

Int. J. Appl. Decis. Sci. Pub Date : 2018-10-04 DOI: 10.1504/IJADS.2018.095270

Haitao Li

引用次数: 2

An automated data-driven tool to build artificial neural networks for predictive decision-making 一种自动数据驱动工具，用于构建用于预测决策的人工神经网络

Int. J. Appl. Decis. Sci. Pub Date : 2018-06-30 DOI: 10.1504/IJADS.2018.10010870

Chun-Kit Ngan

{"title":"An automated data-driven tool to build artificial neural networks for predictive decision-making","authors":"Chun-Kit Ngan","doi":"10.1504/IJADS.2018.10010870","DOIUrl":"https://doi.org/10.1504/IJADS.2018.10010870","url":null,"abstract":"We propose the development of an automated data-driven tool to assist data analysts in building an optimal artificial neural network (ANN) model to solve their domain-specific problems for predictive decision making. The proposed approach combines the strengths of both sequential training methods and multi-hidden-layer learning algorithms to dynamically learn the best-fitted parameters, including learning rate (LR), momentum rate (MR), number of hidden layers (NHL), and number of neurons in each hidden layer (NNHL), for the given set of key input attributes and multiple output nodes. Specifically, the contributions of this work are three-fold: 1) develop the new extended algorithm, i.e., multidimensional parameter learning (MPL), to learn the optimal ANN parameters; 2) provide the user-friendly GUI tool for data analysts to maintain the data manipulations and the tool operations; 3) conduct the experimental case study, i.e., determining the severity level of Alzheimer's patients, to present the superior result (i.e., 95.33%) in terms of prediction accuracy and model complexity by using the learned parameters (i.e., LR = 0.6, MR = 0.8, NHL = 2, NNHL at the 1st layer = 28, and NNHL at the 2nd layer = 24) from the MPL algorithm.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116015390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry 将混合BWM-VIKOR方法应用于供应商选择:伊朗农机具行业的案例研究

Int. J. Appl. Decis. Sci. Pub Date : 2018-06-30 DOI: 10.1504/IJADS.2018.10010871

Armin Cheraghalipour, M. Paydar, M. Hajiaghaei-Keshteli

{"title":"Applying a hybrid BWM-VIKOR approach to supplier selection: a case study in the Iranian agricultural implements industry","authors":"Armin Cheraghalipour, M. Paydar, M. Hajiaghaei-Keshteli","doi":"10.1504/IJADS.2018.10010871","DOIUrl":"https://doi.org/10.1504/IJADS.2018.10010871","url":null,"abstract":"In today's economy, due to the importance of quality and quantity of the product, supplier selection plays a significant role in procurement planning of each factory. Agricultural implements industry is one of the industries included in this sensitivity. Thus, in this paper a supplier selection framework for this industry is considered. For this purpose, a strong approach, namely best worst method (BWM) along with a well-known MCDM technique with the name of VIKOR are employed. At first, the criteria with a view to the literature review and opinions of industry experts are identified. Afterward weights of the criteria are obtained by BWM and then candidate suppliers are ranked by using BWM and VIKOR. In order to check the quality of expert's inputs, the consistency tests are applied. Moreover, to investigate the robustness of the approach sensitivity analysis is considered. Finally, according to the obtained results, it is clear that proposed framework could be effective like as existing approaches for supplier selection problems. Also, agricultural managers implementing industries need simple methodologies to select the proper suppliers and improve their situation.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128061661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 46

Constrains optimal propagation-based modified semi-supervised spectral clustering for large-scale data 约束基于最优传播的改进半监督谱聚类的大规模数据

Int. J. Appl. Decis. Sci. Pub Date : 2018-06-30 DOI: 10.1504/IJADS.2018.10010706

Dayu Xu, Xuyao Zhang, Jiaqi Huang, Hailin Feng

{"title":"Constrains optimal propagation-based modified semi-supervised spectral clustering for large-scale data","authors":"Dayu Xu, Xuyao Zhang, Jiaqi Huang, Hailin Feng","doi":"10.1504/IJADS.2018.10010706","DOIUrl":"https://doi.org/10.1504/IJADS.2018.10010706","url":null,"abstract":"We focus on the problem of high computational complexity in the clustering process of traditional spectral clustering algorithm that cannot satisfy the requirement of current large-scale data clustering applications. In this article, we establish a constrained optimal propagation based semi-supervised large-scale data clustering model. In this model, micro similarity matrix is constructed by using prior dotted pair constraint information at first. On this basis, the Gabow algorithm is exploited to extract each strongly connected component from the micro similarity matrix that is represented by its connected graph. Then, a new constrained optimisation propagation algorithm for each strongly connected component is proposed to calculate the similarity of the whole dataset. Finally, we employ the singular value decomposition and the accelerated k-means algorithm to obtain the clustering results of large-scale data. Experiments on multiple standard testing datasets show that compared with other previous research results in this field, the proposed clustering model has higher clustering accuracy and lower computation complexity, and is more suitable for large-scale data clustering applications.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123222430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel approach for mining probabilistic frequent itemsets over uncertain data streams 一种挖掘不确定数据流上概率频繁项集的新方法

Int. J. Appl. Decis. Sci. Pub Date : 2018-06-30 DOI: 10.1504/IJADS.2018.10010708

Tian-Tian Li, Fang’ai Liu, Xinhua Wang

引用次数: 1

Resource optimisation and fault detection algorithms for cloud computing platforms based on SVM and resource reserve strategy 基于支持向量机和资源预留策略的云计算平台资源优化与故障检测算法

Int. J. Appl. Decis. Sci. Pub Date : 2018-06-30 DOI: 10.1504/IJADS.2018.10011764

Xilong Qu, S. Patnaik

引用次数: 1

An initiative network defence strategy based on game theory 基于博弈论的主动网络防御策略

Int. J. Appl. Decis. Sci. Pub Date : 2018-04-11 DOI: 10.1504/IJADS.2018.10010637

Qian-Yi Zhao, Jun Dong

{"title":"An initiative network defence strategy based on game theory","authors":"Qian-Yi Zhao, Jun Dong","doi":"10.1504/IJADS.2018.10010637","DOIUrl":"https://doi.org/10.1504/IJADS.2018.10010637","url":null,"abstract":"Traditional network safety evaluation only takes into account the attackers' measures to system threat and it lacks initiative defence strategies. To provide an overall and comprehensive analysis on security status of the network, this paper proposes an initiative network system defence strategy based on game theory. The scheme considers possible attack strategies and defence strategies to establish game strategy graph according to the dependency relationship among host vulnerabilities of network. Further, it puts forward a attack-defence game model with double roles and non-cooperation, defining payoff function on both sides. Then the model designs corresponding defence strategy search algorithm to provide a novel method to reflect real-time and scientific security situation evaluation intuitively. It computes the benefits of both sides to find a balance point and provides the optimal defence measure of defenders. The simulation results show that our strategy is more in line with the actual situation than traditional methods with unilateral evaluation on single side. The model can also rapidly respond to network system and it is feasible to improve the network security defence status.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130262713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Task scheduling optimisation algorithm based on load balance under the cloud computing environment 云计算环境下基于负载均衡的任务调度优化算法

Int. J. Appl. Decis. Sci. Pub Date : 2018-04-11 DOI: 10.1504/IJADS.2018.10010707

Shibiao Mu

引用次数: 1

Fuzzy evaluation mechanism of trust chain under embedded trusted computing 嵌入式可信计算下的信任链模糊评价机制

Int. J. Appl. Decis. Sci. Pub Date : 2018-04-11 DOI: 10.1504/IJADS.2018.10008974

Li Gang

引用次数: 0