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A Methodology To Allow Rural Extension Professionals To Build Target-specific Expert Systems For Australian Rural Business Operators

机译:允许农村推广专业人员为澳大利亚农村商业运营商建立针对特定目标的专家系统的方法

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摘要

Expert systems (ES) development technology has been used to build rural business applications in the past but these have usually been developed using traditional expert systems shells. This paper introduces a new architecture for the development of a design environment where the domain experts can build a knowledge base for target-specific ES for rural business operators. The system allows rural business operators to use their own knowledge in building their own, target-specific ES for tailored development to their own specific requirements. At this stage, this reusable design environment caters for the Australian dairy industry but in the long run we claim it will be useful for the other livestock based rural industries such as beef cattle and sheep. This approach of developing target-specific ES contributes new knowledge in that it provides a new way of developing decision support by allowing human domain experts to develop relevant ES for different livestock farming business. An evolutionary prototyping approach was employed for initial development of a proof of concept example and as a method of outlining the solution environment. Multiple qualitative data collection methods were engaged to facilitate knowledge acquisition in the domain of milk protein enhancement for dairy operations. This paper also describes the generic development procedure used in this project.
机译:过去,专家系统(ES)开发技术已用于构建农村商业应用程序,但通常使用传统的专家系统外壳来开发这些系统。本文介绍了一种用于开发设计环境的新体系结构,在该体系结构中,领域专家可以为农村企业运营商针对特定于目标的ES建立知识库。该系统使农村企业经营者可以利用自己的知识来构建自己的,针对特定目标的ES,以根据自己的特定需求进行量身定制的开发。在此阶段,这种可重复使用的设计环境适合澳大利亚的乳制品业,但从长远来看,我们认为它将对其他以牲畜为基础的农村产业(如牛,牛和羊)有用。这种开发针对特定目标的ES的方法提供了新的知识,因为它允许人类领域的专家为不同的畜牧业开发相关的ES,从而提供了开发决策支持的新方法。演化原型方法用于概念证明示例的初步开发以及概述解决方案环境的方法。从事多种定性数据收集方法,以促进乳制品运营中乳蛋白增强领域的知识获取。本文还介绍了此项目中使用的通用开发过程。

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