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A fuzzy set paradigm for conceptual system design evaluation.

机译:用于概念系统设计评估的模糊集范式。

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摘要

A structured and disciplined system engineering process is essential for the efficient and effective development of products and systems which are both responsive to customer needs and globally competitive. Rigor and discipline during the later life-cycle phases of design and development (preliminary and detailed) cannot compensate for an ill-conceived system concept and for premature commitments made during the conceptual design phase. This significance notwithstanding, the nascent stage of system design has been largely ignored by the research and development community.; This research is unique. It focuses on conceptual system design and formalizes analysis and evaluation activities during this important life-cycle phase. The primary goal of developing a conceptual design analysis and evaluation methodology has been achieved, including complete integration with the system engineering process. Rather than being a constraint, this integration led to a better definition of conceptual design activity and the coordinated progression of synthesis, analysis, and evaluation.; Concepts from fuzzy set theory and the calculus of fuzzy arithmetic were adapted to address and manipulate imprecision and subjectivity. A number of design decision aids were developed to reduce the gap between commitment and project specific knowledge, to facilitate design convergence, and to help realize a preferred system design concept.
机译:结构化和规范化的系统工程流程对于高效,高效地开发既能响应客户需求又具有全球竞争力的产品和系统至关重要。在设计和开发的生命周期的后期阶段(初步和详细),严谨和纪律无法弥补构思不当的系统概念以及在概念设计阶段做出的过早承诺。尽管具有这种重要性,但系统设计的新生阶段已被研发界广泛忽略。这项研究是独一无二的。它着重于概念系统设计,并在这个重要的生命周期阶段正式进行分析和评估活动。已经实现了开发概念设计分析和评估方法的主要目标,包括与系统工程过程的完全集成。集成不是约束,而是对概念设计活动进行了更好的定义以及综合,分析和评估的协调进展。模糊集理论和模糊算术演算的概念适用于解决和操纵不精确性和主观性。开发了许多设计决策辅助工具,以减少承诺和项目特定知识之间的差距,促进设计融合,并帮助实现首选的系统设计概念。

著录项

  • 作者

    Verma, Dinesh.;

  • 作者单位

    Virginia Polytechnic Institute and State University.;

  • 授予单位 Virginia Polytechnic Institute and State University.;
  • 学科 Engineering Industrial.; Engineering System Science.
  • 学位 Ph.D.
  • 年度 1994
  • 页码 218 p.
  • 总页数 218
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 一般工业技术;系统科学;
  • 关键词

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