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A Fuzzy Consensus Building Framework for Early Alignment of Construction Project Teams on the Extent of their Roles and Responsibilities.

机译:一个模糊共识构建框架,用于在项目团队的角色和职责范围内进行早期调整。

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摘要

This thesis presents a Fuzzy Consensus Building Framework (FCBF), which enables construction project parties to align their teams on their roles and responsibilities early on in their projects. The framework introduces a model that (1) incorporates consensus of construction project teams in aggregating their opinions to decide on the party responsible for every standard task of a construction project; (2) classifies the quality of experts in the decision making process by weighting their responses during aggregation, based on their attributes; and (3) resolves residual conflicts between project teams on their perceived shared tasks, using a consensus reaching process. A template of project and construction management tasks is extracted from relevant standard guidelines and interviews with industry peers. Different extents of the roles and responsibilities of the owner and contractors are described using seven linguistic terms. A modified similarity aggregation method (SAM) aggregates experts' opinions in a linguistic framework, using a consensus weight factor for each expert. A fuzzy expert system (FES) determines an importance weight factor for each expert, representing expert quality; opinions are aggregated using this factor and the consensus weight factor. Based on the aggregated opinions of experts, the tasks are classified into three responsibility lists: the owner's, the contractors', and the shared responsibility list. The fuzzy preference relations consensus (FPRC) approach is applied to the tasks of shared responsibility, and a linguistic consensus measure is applied to resolve potential conflicts between team members on their perceived shared tasks. Using a case study approach, the FCBF is applied to aid a project owner organization in the field of oil and gas to determine its roles and responsibilities in a customized project delivery system, called owner managing contractor (OMC). The FCBF contributes to the construction industry by solving a fundamental problem for project owners: it helps identify and reduce potential conflicts over the extent of project teams' responsibilities prior to the construction stage. It also provides an improvement over previous consensus-based approaches, which rely on a subjective assessment of experts' importance weights in aggregating their opinions, and it modifies the SAM to adapt it to a linguistic environment.
机译:本文提出了一种模糊共识构建框架(FCBF),该框架使建设项目各方可以在项目早期就使团队根据其角色和职责进行调整。该框架引入了一个模型,该模型(1)将建设项目团队的共识纳入他们的意见,以决定负责建设项目每个标准任务的一方; (2)根据专家的属性对专家在汇总过程中的反应进行加权,从而对决策过程中的专家质量进行分类; (3)使用达成共识的过程解决项目团队之间在感知到的共享任务上的剩余冲突。项目和施工管理任务的模板是从相关的标准指南中提取的,并与行业同行进行了访谈。使用七个语言术语来描述所有者和承包商的角色和责任的不同程度。修改后的相似度汇总方法(SAM)在语言框架中汇总专家的意见,并使用每个专家的共识权重因子。模糊专家系统(FES)确定每个专家的重要权重因子,代表专家的素质;使用此因子和共识权重因子汇总意见。根据专家的意见,这些任务分为三个责任列表:所有者,承包商和共享责任列表。模糊偏好关系共识(FPRC)方法适用于分担责任的任务,语言共识方法适用于解决团队成员之间在感知到的共享任务上的潜在冲突。使用案例研究方法,将FCBF应用于帮助油气领域的项目业主组织确定其在定制的项目交付系统(称为业主管理承包商(OMC))中的角色和职责。 FCBF通过解决项目所有者的基本问题,为建筑业做出了贡献:它有助于在施工阶段之前识别并减少项目团队职责范围内的潜在冲突。它也提供了对以前基于共识的方法的改进,该方法基于对专家重要性权重的主观评估,以汇总他们的意见,并且修改了SAM以使其适应语言环境。

著录项

  • 作者单位

    University of Alberta (Canada).;

  • 授予单位 University of Alberta (Canada).;
  • 学科 Psychology Social.;Sociology Organizational.;Sociology Sociolinguistics.;Business Administration Management.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 422 p.
  • 总页数 422
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 老年病学;
  • 关键词

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