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Effective Decision Support in the Big Data Era: Optimize Organizational Performance via BI&A 大数据时代的有效决策支持:通过BI&A优化组织绩效
IF 1.1 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijdsst.286683
Fen Wang, M. Raisinghani, Manuel Mora Tavarez, J. Forrest
This study conducts a review and synthesis of the Business Intelligence and Analytics (BI&A) evolution, applications, frameworks and emerging trends with the aim to provide a summary of core concepts, a succinct but valuable description of main applications and frameworks, and an account of main recommendations for addressing the Big Data challenges and opportunities. It develops an integrated and organized view on the BI&A evolution process and presents an integrated BI&A application framework to help organizations adopt or develop the appropriate BI&A solutions to derive the desired impact in the Big Data era. This paper also elicits a set of practical recommendations to executives and leaders in organizations worldwide for interpreting the BI&A literature and applying the rich body of knowledge for IT practitioners. It traces the BI&A evolution to data-driven discovery and highly proactive and creative decision-making utilizing advanced analytical techniques with unstructured and massive data sources to cope with a highly dynamic global business environment in the Big Data era.
本研究对商业智能和分析(BI&A)的发展、应用、框架和新兴趋势进行了回顾和综合,旨在总结核心概念,对主要应用和框架进行简洁但有价值的描述,并提出应对大数据挑战和机遇的主要建议。它开发了一个集成的、有组织的BI&A演变过程视图,并提出了一个集成的BI&A应用框架,以帮助组织采用或开发适当的BI&A解决方案,以在大数据时代获得预期的影响。本文还引出了一组实用的建议,以供全球组织的执行人员和领导者解释BI&A文献,并为IT从业者应用丰富的知识体系。它将BI&A的演变追溯到数据驱动的发现和高度主动和创造性的决策,利用先进的分析技术与非结构化和海量数据源来应对大数据时代高度动态的全球商业环境。
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引用次数: 1
Decision Support System in Thailand's Dam Safety With a Mobile Application for Public Relations: DS-RMS (Dam Safety Remote Monitoring System) 基于公共关系移动应用的泰国大坝安全决策支持系统:DS-RMS(大坝安全远程监测系统)
IF 1.1 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijdsst.286183
Apinat Dowrueng, Chinoros Thongthamchart, Nanthiya Raphitphan, Potcharapol Brohmsubha, W. Laungnarutai, U. Supakchukul, A. Dowrueng
This paper describes the decision-making based on civil engineering expertise of the Dam Safety Remote Monitoring System: DS-RMS, which decides on action-based advice depending on every-day scenarios and special occurrences such as earthquakes and floods. The system has been in full operation since 2016 and automatically evaluates 35 failure modes for 3 major dam types 24 hours a day. Key benefits include quick and reliable access to current information about the dams and being a reliever to dam executives in critical situations. In further development, parts of the real-time dam information were selected and made available to the public together with dam safety evaluation results automatically and continuously via a mobile application.
本文描述了基于土木工程专业知识的大坝安全远程监测系统DS-RMS的决策,该系统根据日常情景和地震、洪水等特殊情况做出基于行动的决策建议。该系统自2016年开始全面运行,每天24小时自动评估3种主要大坝类型的35种破坏模式。主要的好处包括快速可靠地获取有关大坝的最新信息,并在危急情况下为大坝管理人员提供帮助。在进一步的发展中,选择了部分实时大坝信息,并通过移动应用程序自动连续地将其与大坝安全评估结果一起提供给公众。
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引用次数: 3
Multi-Attribute Group Decision Making (MAGDM) Using Fuzzy Linguistic Modeling Integrated With the VIKOR Method for Car Purchasing Model 基于模糊语言建模和VIKOR方法的购车多属性群体决策
IF 1.1 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijdsst.286185
Soni Kumari, Bhavdeep Nakum, Din Bandhu, K. Abhishek
The change in the trend of transportation, increasing per capita income, expectation of better lifestyle, easy finance, and reduced cost of the automobile are some of the main factors that enable a commoner to have his/her own car. Therefore, it is essential to comprise such features in cars that offer qualities enabling the ease of consumer’s decision-making and comfort to purchase a car individually. Purchasing a car is a complicated multi-criteria decision-making problem as an individual may have different preferences for different criteria attributes. The attributes may be conflicting in nature depending on the need of the individual customer. Generally, it becomes quite difficult to assign ratings to these attributes based on numeric values. Therefore, the decision-making process relies on an idiosyncratic finding of the decision-makers which is in practice fuzzy with uncertainities. Hence, this article is a case study that deals with a hierarchy MCDM approach in accordance with the fuzzy logic and VIKOR method to solve a car purchasing problem.
交通趋势的改变、人均收入的增加、对更好生活方式的期望、容易融资以及汽车成本的降低是使普通人拥有自己的汽车的一些主要因素。因此,有必要在汽车中包含这样的功能,使消费者能够轻松地做出决定,并舒适地单独购买汽车。汽车购买是一个复杂的多标准决策问题,因为个体可能对不同的标准属性有不同的偏好。根据个别客户的需要,这些属性在本质上可能是冲突的。通常,基于数值为这些属性分配评级变得相当困难。因此,决策过程依赖于决策者的特质发现,这在实践中是模糊的,具有不确定性。因此,本文是一个基于模糊逻辑和VIKOR方法的分层MCDM方法来解决汽车购买问题的案例研究。
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引用次数: 7
Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation 用于抽取摘要生成的模糊推理推进句子排序
IF 1.1 Q3 Computer Science Pub Date : 2022-01-01 DOI: 10.4018/ijdsst.286689
Srinidhi Hiriyannaiah, G. Siddesh, K. Srinivasa
Natural language serves as an impeccable tool for the appropriate representation of knowledge among individuals. Owing to the varying representation of the same knowledge base and the perpetual growth of the World Wide Web, the need to uncover an effective method to condense available textual data without significantly dampening the implied information is paramount. In an attempt to solve the need for effectively condensing textual data, the paper proposes a system which is capable of mimicking the human brain's approach to process Natural Language Fuzzy Logic. The system is subjected to both intrinsic and extrinsic evaluation and the results are compared against two other text summarizers - Auto summarize Tool and SweSum using the CNN Corpus Dataset. The Relevance Prediction Measure, F1 Score and Recall results suggest the applicability of Fuzzy Reasoning in text summarization and through evaluation, it can be inferred that proposed system has successfully tried to mimic the process of summary generation by the human brain.
自然语言作为一种无可挑剔的工具,在个体之间恰当地表达知识。由于同一知识库的不同表示和万维网的不断增长,需要找到一种有效的方法来压缩可用的文本数据,而不会显著抑制隐含的信息,这是至关重要的。为了解决有效压缩文本数据的需要,本文提出了一种能够模仿人脑处理自然语言模糊逻辑的方法。该系统接受了内在和外在的评估,并将结果与另外两个文本摘要器——自动摘要工具和使用CNN语料库数据集的SweSum进行了比较。相关性预测测量、F1分数和召回结果表明模糊推理在文本摘要中的适用性,通过评价可以推断,所提出的系统成功地模仿了人脑生成摘要的过程。
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引用次数: 0
Bounds in Tree-Based Approaches to Generate Project Portfolios in the Presence of Interactions 在存在交互的情况下生成项目组合的基于树的方法的界限
IF 1.1 Q3 Computer Science Pub Date : 2021-10-01 DOI: 10.4018/ijdsst.2021100104
R. Vetschera, J. Almeida
Portfolio decision models have become an important branch of decision analysis. Portfolio problems are inherently complex, because of the combinatorial explosion in the number of portfolios that can be constructed even from a small number of items. To efficiently construct a set of portfolios that provide good performance in multiple criteria, methods that guide the search process are needed. Such methods require the calculation of bounds to estimate the performance of portfolios that can be obtained from a given partial portfolio. The calculation of such bounds is particularly difficult if interactions between items in the portfolio are possible. In the paper, the authors introduce a method to represent such interactions and develop various bounds that can be used in the presence of interactions. These methods are then tested in a computational study, where they show that the bounds they propose frequently provide a good approximation of actual outcomes, and also analyze specific properties of the problem that influence the approximation quality of the proposed bounds.
投资组合决策模型已成为决策分析的一个重要分支。投资组合问题本质上是复杂的,因为可以从少量项目构建的投资组合数量的组合爆炸。为了有效地构建一组在多个标准中提供良好性能的投资组合,需要指导搜索过程的方法。这种方法需要计算边界,以估计从给定的部分投资组合中可以获得的投资组合的性能。如果投资组合中的项目之间可能存在相互作用,那么计算这种界限就特别困难。在本文中,作者介绍了一种表示这种相互作用的方法,并开发了在存在相互作用时可以使用的各种界限。然后,在计算研究中对这些方法进行了测试,结果表明,他们提出的边界通常可以很好地近似实际结果,并且还分析了影响所建议边界近似质量的问题的特定属性。
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引用次数: 1
Conceptual Model Based on Normative Multi-Agent System for Supply Chain Integration of Brazilian Gypsum LPA 基于规范多主体系统的巴西石膏LPA供应链集成概念模型
IF 1.1 Q3 Computer Science Pub Date : 2021-10-01 DOI: 10.4018/ijdsst.2021100101
T. R. N. Clemente, Aldênia Karla Barrêto Candido
The Brazilian gypsum has one of the highest levels of recognized mineral qualities in the world. Companies that operate in this sector support major economy-driving industries such as civil construction, architecture, medicine, and agriculture and are an input for the manufacture of paints, phosphors, and insecticides, among others. Most of the companies that constitute this sector are small and medium-sized enterprises (SMEs), which require supply chain solutions to maintain competition in market share. Supply chain integration as a collaborative solution has become a necessary strategy for enhancing SMEs decision-making capability. This study proposes a conceptual model based on a normative multi-agent system approach that offers a dynamic view about supply chain integration for managers and other stakeholders. From this contribution, it is possible to obtain constant information flow among stakeholders and build an effective strategic context for SMEs in the Brazilian Gypsum Local Productive Arrangement (LPA).
巴西的石膏是世界上公认的矿物质量最高的国家之一。从事该行业的公司为民用建筑、建筑、医药和农业等主要经济驱动行业提供支持,并为涂料、荧光粉和杀虫剂等生产提供投入。构成这一部门的大多数公司都是中小型企业(SMEs),它们需要供应链解决方案来保持市场份额的竞争。供应链集成作为一种协同解决方案,已成为提高中小企业决策能力的必要策略。本研究提出了一个基于规范的多主体系统方法的概念模型,为管理者和其他利益相关者提供了供应链整合的动态视图。通过这一贡献,可以在利益相关者之间获得持续的信息流,并为巴西石膏本地生产安排(LPA)中的中小企业建立有效的战略背景。
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引用次数: 0
Web-Based DSS for Resource Allocation in Higher Education 基于web的高等教育资源配置决策支持系统
IF 1.1 Q3 Computer Science Pub Date : 2021-10-01 DOI: 10.4018/ijdsst.2021100105
C. Martins, P. Zaraté, Adiel Teixeira de Almeida, J. Almeida, D. Morais
The allocation of scarce resources is a complex higher education decision problem, especially when it comes to budget constraints. Therefore, the authors propose a multicriteria web-based decision support system for resource allocation in higher education organizations. To do so, they define an MCDA/M resource allocation model, based on a project portfolio selection problem to set the percentage of the total budget that every alternative should receive. For the web-based DSS, they develop a database model to store and retrieve data, define the user's interface, and they use a web platform to transform the prototype into a web-based system. Also, they run an empirical analysis with an end-user to test the DSS. They show that the system can provide a clear vision of how the resource allocation system works; the mechanism as a whole becomes more transparent to those involved, enabling them to make efficient and reasonable decisions.
稀缺资源的配置是一个复杂的高等教育决策问题,特别是在预算约束下。为此,本文提出了一个基于网络的多准则高等教育资源配置决策支持系统。为此,他们基于项目组合选择问题定义了一个MCDA/M资源分配模型,以设置每个备选方案应获得的总预算的百分比。对于基于web的决策支持系统,他们开发了数据库模型来存储和检索数据,定义了用户界面,并使用web平台将原型转换为基于web的系统。此外,他们还对最终用户进行了实证分析,以测试DSS。它们表明,该系统可以为资源分配系统如何运作提供清晰的视角;整个机制对有关各方变得更加透明,使他们能够作出有效和合理的决定。
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引用次数: 1
Required Project Designers' Attributes as Perceived by Male and Female Engineers 男性和女性工程师所感知到的项目设计师所需的属性
IF 1.1 Q3 Computer Science Pub Date : 2021-10-01 DOI: 10.4018/ijdsst.2021100102
Petros Kritikos, Vasso Papadimitriou, Georgios N. Aretoulis
Project designer (PD) personality defines the way PDs cooperate with the project team, make decisions, and influence the project performance. The current research focused on identifying attributes associated with successful PDs as considered by male and female project engineers. In this context, a five-year questionnaire survey collected 423 responses from Greek engineers. The survey recorded data regarding the respondents and the scores assigned to the required PDs attributes. The methodological approach included an SPSS database, followed by descriptive statistics analysis, independent sample t-test, and correlation analysis. It became obvious that gender influences the assessment and selection of desired PD personality characteristics. Female engineers tend to assign the highest Likert scale-based scores, whereas male respondents tend to assign lower scores. The most highly ranked abilities included “responsibility,” “reliability,” and “obedience to rules.” The findings facilitate the implementation of multi-criteria decision-making tools for efficient project teams.
项目设计师(PD)的个性定义了他们与项目团队合作、决策和影响项目绩效的方式。目前的研究重点是识别男性和女性项目工程师认为与成功的pd相关的属性。在此背景下,一项为期五年的问卷调查收集了423名希腊工程师的回复。调查记录了有关受访者的数据以及分配给所需pd属性的分数。方法采用SPSS数据库,进行描述性统计分析、独立样本t检验和相关分析。性别对PD期望人格特征的评估和选择有明显的影响。女性工程师倾向于给出最高的李克特量表分数,而男性受访者则倾向于给出较低的分数。排名最高的能力包括“责任心”、“可靠性”和“服从规则”。研究结果促进了高效项目团队多标准决策工具的实施。
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引用次数: 0
Applications of DSSs in Irrigation and Production Planning in Agriculture DSSs在农业灌溉和生产计划中的应用
IF 1.1 Q3 Computer Science Pub Date : 2021-07-01 DOI: 10.4018/IJDSST.2021070102
J. Papathanasiou, T. Bournaris, G. Tsaples, Panagiota Digkoglou, B. Manos
Agricultural management has become an increasingly complex endeavor. As a result, there is the need to generate knowledge from information that can guide practice, and in that aspect, decision support systems (DSSs) can contribute to achieving this goal. A DSS can be defined as a computer-based information system that is used to support complex decision-making. The aim of this paper is to present such a DSS focused on the agricultural sector. Its purpose is to be used for the planning of agricultural production and better utilization of a region's available resources. The development of the DSS relies on the classic theory of such tools utilizing MCDM models, databases, and a user interfaces. The proposed DSS was applied in the prefecture of Larissa in Central Greece. The DSS is adaptable to different contexts, and applications of these capabilities are presented at the end of the paper, applied in different regions under additional objectives and/or constraints.
农业管理已成为一项日益复杂的工作。因此,需要从可以指导实践的信息中产生知识,在这方面,决策支持系统(DSSs)可以有助于实现这一目标。决策支持系统可以定义为一个以计算机为基础的信息系统,用于支持复杂的决策。本文的目的是为农业部门提供这样一个决策支持系统。其目的是用于规划农业生产和更好地利用一个区域的现有资源。决策支持系统的开发依赖于这些工具的经典理论,利用MCDM模型、数据库和用户界面。拟议的发展支助系统在希腊中部的拉里萨州得到应用。决策支持系统适用于不同的环境,本文最后介绍了这些能力的应用,在不同的地区在额外的目标和/或限制下应用。
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引用次数: 0
An Improved Decision Support Method for Resilience Assessment Based on Multi-Viewpoint Modeling and Functional Analysis of Interconnected Systems 基于多视点建模和功能分析的互联系统弹性评估决策支持方法
IF 1.1 Q3 Computer Science Pub Date : 2021-07-01 DOI: 10.4018/IJDSST.2021070104
Blazo Nastov, Daouda Kamisoko, V. Chapurlat
Critical infrastructures provide services that are essential to the functioning and well-being of society. Failure to provide these services is unacceptable. This is a problem when considering the unpredictable nature of the environment (leading to crisis, natural disasters, terrorist attacks) and internal failures. The concern is even greater due to the interconnected and interdependent nature of critical infrastructures, which might lead to failure propagation, causing domino and cascade effects. The resilience of a system is the ability to reduce the magnitude and/or duration of disruptive events or their consequences, allowing a satisfactory level of performance and quality of services. Improving critical infrastructures' resilience before any disruption occurs can reassure society's vital needs. The goal of the paper is to define an improved decision support method for resilience by combining resilience assessment and multi-viewpoint modeling methods.
关键基础设施提供对社会运作和福祉至关重要的服务。不能提供这些服务是不可接受的。考虑到环境的不可预测性(导致危机、自然灾害、恐怖袭击)和内部失败,这是一个问题。由于关键基础设施的相互连接和相互依赖的性质,这可能导致故障传播,导致多米诺骨牌效应和级联效应,因此更令人担忧。系统的弹性是减少破坏性事件或其后果的规模和/或持续时间的能力,从而实现令人满意的性能和服务质量。在任何破坏发生之前提高关键基础设施的恢复能力,可以确保社会的关键需求。本文的目标是将弹性评估与多视点建模方法相结合,定义一种改进的弹性决策支持方法。
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引用次数: 1
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International Journal of Decision Support System Technology
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