一种支持按需定制的决策工作流对象模型设计与开发  

Design and development of a decision workflow object model supporting customization on demand

作　　者：石松 Shi Song(Big Data and AI Division,Teleware Info&Tech Co.,Ltd.,Fuzhou 350002,China)

机构地区：[1]特力惠信息科技股份有限公司大数据与AI事业部

出　　处：《信息技术与网络安全》2019年第9期75-80,共6页Information Technology and Network Security

基　　金：福州市科技重大专项(榕科[2017]325号);福建省科技厅STS计划配套项目(2018T3009)

摘　　要：实现按需定制的个性化决策是决策支持系统发展的重要方向。针对个性化决策需要融合多种决策要素、满足不同用户不同决策思维这一核心需求,基于工作流和面向对象技术提出一种新的决策工作流模型,并对其运行逻辑和执行环境进行了总体设计。该模型通过工作流技术来构建决策流程,将每个流程节点视为决策对象,将决策所需的核心要素如数据、指标、模型、规则、图表等视为可扩展的对象属性加载到决策对象中,而后将决策工作流全流程整体提交到分布式计算环境下执行。以建设项目选址决策作为典型场景对该方法进行技术验证,实证表明,所提出的技术方法具有较强的可扩展性和灵活性,能够有效满足个性化定制的决策需求。Realizing personalized decision-making on demand is an important direction of the development of decision support system.In this paper,a new decision workflow model is proposed based on workflow and object-oriented technology,aiming at the core requirement of personalized decision-making,which needs to integrate multiple decision-making elements and satisfy different decision-making thinking of different users.The model constructs decision-making process by workflow technology,regards each process node as decision-making object,and loads the core elements needed for decision-making,such as data,indicators,models,rules,charts,etc.,as extensible object attributes into the decision-making object,and then submits the whole process of decision-making workflow to the distributed computing environment for execution.This paper takes construction project location decision-making as a typical scenario to verify the method.The empirical results show that the proposed method has strong scalability and flexibility,and can effectively meet the needs of personalized customization decision-making.

关 键 词：工作流 决策支持 决策对象 分布式计算环境 大数据 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]