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随着亚马逊Mechanical Turk和Innocentive等众包平台的增长,劳动力和知识的获取和利用较以前更容易。然而,许多众包平台网站都面临着如何使任务发布者和提供者能够长时间地停留在网站中参与任务,以保持众包平台网站可持续性发展的问题。为解决这一问题,本文利用经典的基于二元语义的多属性决策方法(2-TUPLE Multiple Attribute Decision Method),为众包平台网站构建一个辅助决策模块。该模块的使用,一方面可以帮助提高任务发布者决策的科学性,另一方面为提供者给予适当的信息反馈。通过此种方式,可以提高任务发布者和提供者对于众包平台网站的满意度,从而维持众包平台网站的可持续发展。基于二元语义的多属性决策方法在众包平台中的应用将会对众包平台中的所有组成单元带来利益。
With the growth of crowdsourcing platforms such as Amazon Mechanical Turk and Innocentive, access to and use of workforce and knowledge is easier than ever before. However, many crowdsourcing platform websites face the problem of how to enable task publishers and providers to stay on the website for a long time to participate in the mission in order to maintain the sustainable development of the crowdsourcing platform website. In order to solve this problem, this paper makes use of the classic 2-TUPLE Multiple Attribute Decision Method to construct a decision support module for crowdsourcing platform websites. The use of this module, on the one hand, can help to improve the scientific decision-making of task publishers, on the other hand, give appropriate feedback to providers. In this way, the satisfaction of task publishers and providers on crowdsourcing platform websites can be improved so as to sustain the sustainable development of crowdsourcing platform websites. The application of multi-attribute decision-making method based on binary semantics in crowdsourcing platform will bring benefits to all the components of crowdsourcing platform.