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A fuzzy set paradigm for conceptual system design evaluation

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dc.contributor.authorVerma, Dineshen
dc.contributor.committeechairFabrycky, Wolter J.en
dc.contributor.committeememberReasor, Roderick J.en
dc.contributor.committeememberSullivan, William G.en
dc.contributor.committeememberSumichrast, Robert T.en
dc.contributor.committeememberWest, R. L. Jr.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2014-03-14T21:22:21Zen
dc.date.adate2005-10-26en
dc.date.available2014-03-14T21:22:21Zen
dc.date.issued1994en
dc.date.rdate2005-10-26en
dc.date.sdate2005-10-26en
dc.description.abstractA 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.en
dc.description.degreePh. D.en
dc.format.extentxi, 207 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-10262005-101020en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-10262005-101020/en
dc.identifier.urihttp://hdl.handle.net/10919/40204en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1994.V476.pdfen
dc.relation.isformatofOCLC# 32772541en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1994.V476en
dc.subject.lcshFuzzy setsen
dc.subject.lcshSystem design -- Evaluationen
dc.titleA fuzzy set paradigm for conceptual system design evaluationen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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