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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >IMPLEMENTING AN EFFICIENT EXPERT SYSTEM FOR SERVICES CENTER MANAGEMENT BY FUZZY LOGIC CONTROLLER
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IMPLEMENTING AN EFFICIENT EXPERT SYSTEM FOR SERVICES CENTER MANAGEMENT BY FUZZY LOGIC CONTROLLER

机译：用模糊逻辑控制器实现服务中心管理的高效专家系统

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Expert System (ES) is considered to be the prominent reasoning practices which are commonly employed towards various application domains. Considering expert systems, human understanding regarding specific proficiency in accomplishing specific tasks could be signified as facts and rules towards their knowledge base, which finds and employs the data delivered by means of a manipulator. Reasoning procedure has been further employed towards the specified expertise by means of heuristic methods for formulating the elucidation. Mechanisms which employ knowledge based approaches are considered to be more candid when compared to other conservative approaches. Knowledge could be signified clearly towards knowledge base, thereby capable in alteration with comparative easiness, which commonly employs the concept of rules. Inference engines employ knowledge base subjects for solving specific problems based on user responses by means of interface (for instance, specify the situations needed for car assessment). This inference unit deeds with knowledge for applying this knowledge for specific problems. There are numerous approaches for control systems that are applied in all the major areas in industry. In all these approaches for controlling the systems, fuzzy has been deemed to be the best methodology, mainly because of its increased speed and cost-efficiency. For machine regulation, fuzzy logic is found to be vividly employed. This paper mainly focuses in designing the simulation model for fuzzy logic regulator in advising the supervisor of service center in maintaining definite delay in service towards acceptable limits to the customers by the usage of simulation package, the Fuzzy Logic Toolbox MATLAB Simulation tool.
机译：专家系统（ES）被认为是在各种应用领域中普遍采用的重要推理方法。考虑到专家系统，可以将人们对完成特定任务的特定熟练程度的理解表示为针对其知识库的事实和规则，知识库可以查找并使用通过操纵器传递的数据。借助于启发式方法来阐述说明，进一步针对特定的专业人士采用了推理程序。与其他保守方法相比，采用基于知识的方法的机制被认为更为坦率。可以对知识基础明确地表示知识，从而能够以比较容易的方式进行更改，这通常采用规则的概念。推理引擎使用知识库主题，通过界面（例如，指定汽车评估所需的情况）基于用户的响应来解决特定问题。该推理单元具有将这种知识应用于特定问题的知识。控制系统有许多方法可应用于工业的所有主要领域。在所有这些控制系统的方法中，模糊被认为是最好的方法，主要是因为它提高了速度和成本效率。对于机器调节，模糊逻辑被生动地采用。本文主要着重于设计模糊逻辑调节器的仿真模型，以建议服务中心主管通过使用仿真程序包，模糊逻辑工具箱MATLAB仿真工具，将确定的服务延迟保持在对客户可接受的限度内。

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