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    Value of Information in MultiAttribute Decisions With Applications in Ground Vehicle Autonomy

    Source: Journal of Autonomous Vehicles and Systems:;2022:;volume( 001 ):;issue: 004::page 41006
    Author:
    Kassoumeh, Sam;Pandey, Vijitashwa;Gorsich, David;Jayakumar, Paramsothy
    DOI: 10.1115/1.4054125
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work presents some results in the value of information calculations for multiattribute decisionmaking under uncertainty. Almost all engineering activities are undertaken in the face of uncertainty and a decision that maximizes a suitably chosen metric is generally selected. It becomes essential to collect information regarding these uncertainties so that better informed decisions can be made. Calculation of the worth of this information (VoI) is a difficult task, particularly when multiple attributes are present and there exists dependence between the random attributes in the same alternative or across different alternatives. In this paper, closedform expressions and numerical models for the calculation of VoI are presented. Particularly, we derive methods for the general scenario where we have to decide over two or more alternatives, each involving two or more continuous random attributes exhibiting some level of dependence with the others. These reduce or completely eliminate the need for conducting simulations or approximations, both of which tend to be either computationally expensive (such as Monte Carlo), limited in accuracy or both. It also allows us to conduct more involved analyses such as sensitivity analysis on design parameters and the engineer’s preferences in a feasible and even potentially automated way. We also introduce “attributewise VoI,” which shows that collecting information on one or more of the attribute(s) makes sense only in specific dependence scenarios and tradeoff relationships between attributes. Calculation methods for value of such information are also provided. We illustrate our models on mobile autonomous system selection decisions. We conclude with a discussion on the avenues for future research into the optimal mix of a system’s intelligence (autonomy), communication, and information gathering.
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      Value of Information in MultiAttribute Decisions With Applications in Ground Vehicle Autonomy

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    contributor authorKassoumeh, Sam;Pandey, Vijitashwa;Gorsich, David;Jayakumar, Paramsothy
    date accessioned2023-04-06T12:52:46Z
    date available2023-04-06T12:52:46Z
    date copyright4/26/2022 12:00:00 AM
    date issued2022
    identifier otherjavs_1_4_041006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288681
    description abstractThis work presents some results in the value of information calculations for multiattribute decisionmaking under uncertainty. Almost all engineering activities are undertaken in the face of uncertainty and a decision that maximizes a suitably chosen metric is generally selected. It becomes essential to collect information regarding these uncertainties so that better informed decisions can be made. Calculation of the worth of this information (VoI) is a difficult task, particularly when multiple attributes are present and there exists dependence between the random attributes in the same alternative or across different alternatives. In this paper, closedform expressions and numerical models for the calculation of VoI are presented. Particularly, we derive methods for the general scenario where we have to decide over two or more alternatives, each involving two or more continuous random attributes exhibiting some level of dependence with the others. These reduce or completely eliminate the need for conducting simulations or approximations, both of which tend to be either computationally expensive (such as Monte Carlo), limited in accuracy or both. It also allows us to conduct more involved analyses such as sensitivity analysis on design parameters and the engineer’s preferences in a feasible and even potentially automated way. We also introduce “attributewise VoI,” which shows that collecting information on one or more of the attribute(s) makes sense only in specific dependence scenarios and tradeoff relationships between attributes. Calculation methods for value of such information are also provided. We illustrate our models on mobile autonomous system selection decisions. We conclude with a discussion on the avenues for future research into the optimal mix of a system’s intelligence (autonomy), communication, and information gathering.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleValue of Information in MultiAttribute Decisions With Applications in Ground Vehicle Autonomy
    typeJournal Paper
    journal volume1
    journal issue4
    journal titleJournal of Autonomous Vehicles and Systems
    identifier doi10.1115/1.4054125
    journal fristpage41006
    journal lastpage4100617
    page17
    treeJournal of Autonomous Vehicles and Systems:;2022:;volume( 001 ):;issue: 004
    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
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