Decision Guidance Analytics Language (DGAL) - Toward Reusable Knowledge Base Centric Modeling
Decision Guidance Analytics Language (DGAL) - Toward Reusable Knowledge Base Centric Modeling
复制标题
决策指导分析语言 (DGAL) - 迈向可重用知识库中心建模
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Juan Luo
中科院分区：
文献类型：
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作者：
A. Brodsky;Juan Luo
决策指导系统是一类决策支持系统，旨在产生可操作的建议，通常基于正式的分析模型和技术。为了方便决策指导系统的迭代开发，本文提出了决策指导分析语言（DGAL）。DGAL允许创建模块化、可重用和可组合的模型，这些模型存储在分析知识库中，独立于使用它们的任务和工具。基于这些统一的模型，DGAL支持声明性查询(1)数据操作和计算，(2)假设预测分析，(3)确定性和随机决策优化，以及(4)机器学习，所有这些都通过形式化约简到专门的模型和工具，并且存在不确定性。
Decision guidance systems are a class of decision support systems that are geared toward producing actionable recommendations, typically based on formal analytical models and techniques. This paper proposes the Decision Guidance Analytics Language (DGAL) for easy iterative development of decision guidance systems. DGAL allows the creation of modular, reusable and composable models that are stored in the analytical knowledge base independently of the tasks and tools that use them. Based on these unified models, DGAL supports declarative queries of (1) data manipulation and computation, (2) what-if prediction analysis, (3) deterministic and stochastic decision optimization, and (4) machine learning, all through formal reduction to specialized models and tools, and in the presence of uncertainty.