عرض بسيط للتسجيلة

المؤلفHuang, Yongjun
المؤلفNazir, Shah
المؤلفWu, Jiyu
المؤلفHussain Khoso, Fida
المؤلفAli, Farhad
المؤلفKhan, Habib Ullah
تاريخ الإتاحة2022-12-27T10:14:23Z
تاريخ النشر2021-06-10
اسم المنشورComplexity
المعرّفhttp://dx.doi.org/10.1155/2021/5518878
الاقتباسHuang, Y., Nazir, S., Wu, J., Hussain Khoso, F., Ali, F., & Khan, H. U. (2021). An efficient decision support system for the selection of appropriate crowd in crowdsourcing. Complexity, 2021.
الرقم المعياري الدولي للكتاب1076-2787
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85108619703&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37659
الملخصCrowdsourcing is a complex task-solving model that utilizes humans for solving organizational specific problems. For assigning a crowdsourced task to an online crowd, crowd selection is carried out to select appropriate crowd for achieving the task. The efficiency and effectiveness of crowdsourcing may fail if irrelevant crowd is selected for performing a task. Early decisions regarding selection of a crowd can ultimately lead to successful completion of tasks. To select most appropriate crowd from crowdsourcing, this paper presents a decision support system (DSS) for appropriate selection of crowd. The system has been implemented in the Superdecision tool by plotting hierarchy of goals, criteria, and alternatives. Various calculations have been done for performing the proposed research. Results of the study reveal that the proposed system is effective and efficient for selection of crowd in crowdsourcing by performing various pairwise computation of the study.
اللغةen
الناشرHindawi
الموضوعCrowdsourcing
Decision support system
pairwise computation
العنوانAn Efficient Decision Support System for the Selection of Appropriate Crowd in Crowdsourcing
النوعArticle
رقم المجلد2021
ESSN1099-0526
dc.accessType Open Access


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة