國立虎尾科技大學 |

Simplifying Humanitarian Assistance/Disaster Relief Analytic Models Using Activity-Based Intelligence : = Syrian Refugee Crisis as a Case Study.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Simplifying Humanitarian Assistance/Disaster Relief Analytic Models Using Activity-Based Intelligence :/
其他題名:	Syrian Refugee Crisis as a Case Study.
作者:	Widener, Donald Victor.
面頁冊數:	1 online resource (114 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Contained By:	Dissertation Abstracts International79-05B(E).
標題:	Operations research. -
電子資源:	click for full text (PQDT)
ISBN:	9780355593051

Simplifying Humanitarian Assistance/Disaster Relief Analytic Models Using Activity-Based Intelligence : = Syrian Refugee Crisis as a Case Study.
Widener, Donald Victor.

Simplifying Humanitarian Assistance/Disaster Relief Analytic Models Using Activity-Based Intelligence :Syrian Refugee Crisis as a Case Study. - 1 online resource (114 pages)

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

The purpose of this study was to propose an effective knowledge elicitation method and representation scheme that empowers humanitarian assistance/disaster relief (HA/DR) analysts and experts to create analytic models without the aid of data scientists and methodologists while addressing the issues of complexity, collaboration, and emerging technology across a diverse global network of HA/DR organizations. The study used an exploratory sequential mixed-methods research approach with two stages. In the first stage, literature was explored related to the issues while aligning them to analytic model perspectives to define the experimental modeling requirements. This stage concluded with the development of a simplified analytic modeling approach based on emerging activity-based intelligence (ABI) analytic methods. The second stage consisted of quantitative data collection and evaluation to test the ABI analytic model's knowledge elicitation method and representation scheme.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355593051Subjects--Topical Terms:

573517
Operations research.
Index Terms--Genre/Form:

554714
Electronic books.

Simplifying Humanitarian Assistance/Disaster Relief Analytic Models Using Activity-Based Intelligence : = Syrian Refugee Crisis as a Case Study.
LDR:03107ntm a2200373Ki 4500 001 911783
005 20180531091029.5
006 m o u
007 cr mn||||a|a||
008 190606s2018 xx obm 000 0 eng d
020 $a 9780355593051
035 $a (MiAaPQ)AAI10743614
035 $a (MiAaPQ)gwu:13971
035 $a AAI10743614
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Widener, Donald Victor. $3 1183827
245 1 0 $a Simplifying Humanitarian Assistance/Disaster Relief Analytic Models Using Activity-Based Intelligence : $b Syrian Refugee Crisis as a Case Study.
264 0 $c 2018
300 $a 1 online resource (114 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
500 $a Advisers: Shahram Sarkani; Thomas A. Mazzuchi.
502 $a Thesis (Ph.D.) $c The George Washington University $d 2018.
504 $a Includes bibliographical references
520 $a The purpose of this study was to propose an effective knowledge elicitation method and representation scheme that empowers humanitarian assistance/disaster relief (HA/DR) analysts and experts to create analytic models without the aid of data scientists and methodologists while addressing the issues of complexity, collaboration, and emerging technology across a diverse global network of HA/DR organizations. The study used an exploratory sequential mixed-methods research approach with two stages. In the first stage, literature was explored related to the issues while aligning them to analytic model perspectives to define the experimental modeling requirements. This stage concluded with the development of a simplified analytic modeling approach based on emerging activity-based intelligence (ABI) analytic methods. The second stage consisted of quantitative data collection and evaluation to test the ABI analytic model's knowledge elicitation method and representation scheme.
520 $a Using open-source data on the Syrian humanitarian crisis as the reference mission, ABI analytic models were proven capable in modeling HA/DR scenarios of physical systems, nonphysical systems, and thinking. As a data-agnostic approach to develop object and network knowledge, ABI aligns with the objectives of modeling within multiple HA/DR organizations. Using an analytic method as the basis for model creation allows for immediate adoption by analysts and removes the need for data scientists and methodologists in the elicitation phase. Applying this highly effective cross-domain ABI data fusion technique should also supplant the accuracy weaknesses created by traditional simplified analytic models.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Operations research. $3 573517
650 4 $a Systems science. $3 1148479
650 4 $a International relations. $3 554886
655 7 $a Electronic books. $2 local $3 554714
690 $a 0796
690 $a 0790
690 $a 0601
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The George Washington University. $b Systems Engineering. $3 1148622
773 0 $t Dissertation Abstracts International $g 79-05B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10743614 $z click for full text (PQDT)