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    An Ontology for Reusable and Executable Decision Templates

    Source: Journal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003::page 31008
    Author:
    Ming, Zhenjun
    ,
    Wang, Guoxin
    ,
    Yan, Yan
    ,
    Dal Santo, Joseph
    ,
    Allen, Janet K.
    ,
    Mistree, Farrokh
    DOI: 10.1115/1.4034436
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Engineering design is increasingly recognized as a decision making process. Providing decision support is crucial to augment designers' decision-making capability in this process. In this paper, we present a template-based ontological method that integrates the decision-making mechanism with problem-specific information; thus, it can provide design decision support from both the “construct” and the “information” perspectives. The “construct,” namely, decision-making mechanism, is the utility-based Decision Support Problem (u-sDSP), which is a rigorous mathematical model that facilitates designers making multi-attribute selection decisions under uncertainty, while the information for decision making is archived as u-sDSP templates and represented using frame-based ontology to facilitate reuse, execution, and consistency-maintaining. This paper is an extension of our earlier work on the ontological modeling of the compromise decisions. The unique advantage of this ontology is that it captures both the declarative and procedural knowledge of selection decisions and represents them separately, thus facilitating designers reusing, executing previous documented decision knowledge to effect new decisions. The efficacy of ontology is demonstrated using a rapid prototyping (RP) resource selection example.
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      An Ontology for Reusable and Executable Decision Templates

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4236524
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    contributor authorMing, Zhenjun
    contributor authorWang, Guoxin
    contributor authorYan, Yan
    contributor authorDal Santo, Joseph
    contributor authorAllen, Janet K.
    contributor authorMistree, Farrokh
    date accessioned2017-11-25T07:20:32Z
    date available2017-11-25T07:20:32Z
    date copyright2017/16/2
    date issued2017
    identifier issn1530-9827
    identifier otherjcise_017_03_031008.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236524
    description abstractEngineering design is increasingly recognized as a decision making process. Providing decision support is crucial to augment designers' decision-making capability in this process. In this paper, we present a template-based ontological method that integrates the decision-making mechanism with problem-specific information; thus, it can provide design decision support from both the “construct” and the “information” perspectives. The “construct,” namely, decision-making mechanism, is the utility-based Decision Support Problem (u-sDSP), which is a rigorous mathematical model that facilitates designers making multi-attribute selection decisions under uncertainty, while the information for decision making is archived as u-sDSP templates and represented using frame-based ontology to facilitate reuse, execution, and consistency-maintaining. This paper is an extension of our earlier work on the ontological modeling of the compromise decisions. The unique advantage of this ontology is that it captures both the declarative and procedural knowledge of selection decisions and represents them separately, thus facilitating designers reusing, executing previous documented decision knowledge to effect new decisions. The efficacy of ontology is demonstrated using a rapid prototyping (RP) resource selection example.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Ontology for Reusable and Executable Decision Templates
    typeJournal Paper
    journal volume17
    journal issue3
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4034436
    journal fristpage31008
    journal lastpage031008-13
    treeJournal of Computing and Information Science in Engineering:;2017:;volume( 017 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian