首页> 外文期刊>Journal of the Indian Society of Agricultural Statistics >A reputation based service provider selection system for delegation of job by farmers. (Special Issue: Artificial intelligence in agriculture.)
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A reputation based service provider selection system for delegation of job by farmers. (Special Issue: Artificial intelligence in agriculture.)

机译:基于信誉的服务提供商选择系统,用于由农民下放工作。 (特刊:农业人工智能。)

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摘要

Selection of a service provider, to perform agriculture jobs, is a major challenge for any farmer. This problem of selection of a service provider to delegate the job is being addressed by a balanced reputation based service provider selection system for farmer. Being agent based system, agents compute the reputation of the service providers present in the e-community based on their past experiences and recommendations collected from their trustworthy acquaintances. Further it is observed that if selection is done only on the basis of the reputation of the service providers then this may introduce delay in the accomplishment of the job because of overloaded reputed service providers. This paper presents a scheme to distribute the work to reputed service providers in such a way that delay in the accomplishment of the job can be minimized. As reputation is a subjective term, so to quantify reputation the concept of Intuitionistic Fuzzy Sets (IFS) is used in this paper. Further the Intuitionistic Fuzzy distances among the recommendations of various trustworthy peers are computed using which the trust on a trustworthy acquaintance is updated.
机译:选择服务提供者从事农业工作,对任何农民来说都是一个重大挑战。通过平衡的基于信誉的农民服务提供商选择系统解决了选择服务提供商委派工作的问题。作为基于代理的系统,代理根据他们过去的经验和从其可信赖的熟人那里收集的建议来计算电子社区中服务提供商的声誉。进一步观察到,如果仅基于服务提供商的声誉来进行选择,则由于信誉良好的服务提供商超载,这可能会导致工作完成延迟。本文提出了一种将工作分配给知名服务提供商的方案,以使工作完成的延迟最小化。由于信誉是一个主观术语,因此为了量化信誉,本文使用直觉模糊集(IFS)的概念。此外,计算各种可信任对等体的推荐之间的直觉模糊距离,使用该距离来更新对可信任相识的信任。

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