The limitations of traditional approaches to selection problems are examined. A problemsolving strategy is presented in which decision-support and knowledge-based techniques play complementary roles. An approach to th...The limitations of traditional approaches to selection problems are examined. A problemsolving strategy is presented in which decision-support and knowledge-based techniques play complementary roles. An approach to the representation of knowledge to support the problem-solving strategy is presented which avoids commitment to a specific programming language or implementation environment. The problem of choosing a home is used to illustrate the representation of knowledge in a specific problem domain. Techniques for implementation of the problem-solving strategy are described. Knowledge elicitation techniques and their implementation in a development shell for application of the problem-solving strategy to any selection problem are also described.展开更多
For the designing of cutting-dies is a complex and experience-based process,it is poorly supported by conventional 3D CAD software.Thus,the majority of design activities,including the(re)modeling of those cutting die-...For the designing of cutting-dies is a complex and experience-based process,it is poorly supported by conventional 3D CAD software.Thus,the majority of design activities,including the(re)modeling of those cutting die-components that are directly responsible for performing shaping operations on a sheet-metal stamping part,traditionally still need to be carried-out repetitively,separately,and manually by the designer.To eliminate some of these drawbacks and upgrade the capabilities of conventional 3D CAD software,this paper proposes a new methodology for the development of a parametric system capable of automatically performing a(re)modeling process of compound washer dies' cutting-components.The presented methodology integrates CATIA V5 built-in modules,including Part Design,Assembly Design and Knowledge Advisor,publication mechanism,and compound cutting die-design knowledge.The system developed by this methodology represents an 'intelligent' assembly template composed of two modules GAJA1 and GAJA2,respectively.GAJA1 is responsible for the direct input of the die-design problem regarding the shape,dimensions and material of the stamping part,its extraction in the form of geometric features,and the transferring of relevant design parameters and features to the module GAJA2.GAJA2 interprets the current values for the input parameters and automatically performs the modeling process of cutting die-components,using die-design knowledge and the company's internal design and manufacturing standards.Experimental results show that this system significantly shortens the modeling-time for cutting the die-components,improves the modeling-quality,and enables the training of inexperienced designers.展开更多
The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strate...The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strategic decision making lead to the achievemellt of optimal path towardsmarket economy from the central planning situation in China. To meet user's various requirements,a series of innovations in software development have been carried out, such as system formalization with OBFRAMEs in an object-oriented paradigm for problem solving automation and techniques of modules intelligent cooperation, hybrid system of reasoning, connectionist framework utilization,etc. Integration technology has been highly emphasized and discussed in this article and an outlook to future software engineering is given in the conclusion section.展开更多
本文讨论故障诊断的启发式参数估计法.文中首先讨论了用知识选择待估模型参数,从而减少模型参数估计计算量的问题.接着讨论了在物理意义(体现为知识)下求解方程 p=f^(-1)(θ),从而减小 p 解范围,加强故障定位能力的问题.文末给出了一个...本文讨论故障诊断的启发式参数估计法.文中首先讨论了用知识选择待估模型参数,从而减少模型参数估计计算量的问题.接着讨论了在物理意义(体现为知识)下求解方程 p=f^(-1)(θ),从而减小 p 解范围,加强故障定位能力的问题.文末给出了一个用以说明所提方法的仿真算例.展开更多
This paper examines the use in assisting naval operators in managing the of a fuzzy knowledge-based system （KBS） situation and threat assessment problem in a littoral environment. Under the scenario created involvin...This paper examines the use in assisting naval operators in managing the of a fuzzy knowledge-based system （KBS） situation and threat assessment problem in a littoral environment. Under the scenario created involving air contacts in a littoral environment, the assessment of the KBS model is conducted and the results show that the correlation between assessment and human operation officers＇ judgment was high. The fuzzy KBS with its corresponding toolkits is much more flexible to be integrated with other components of a command and control system, while the fine-tuning of membership functions and fuzzy inference rules are intensive, this makes any further modification a non-trivial task.展开更多
The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engine...The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engineering. Starting with the construct of a social organization model driven by anticipationand thed differentiating this into pesonal scientists with diverse relations to people and their internal andexternal communication, it provides powerful and general model of society. people, and the roles of peoplein society. This model extends naturally ic the role of conventional media in the knowledge processes ofsociety and the new roles of computer-based simulation and expert systems. In particular it provides amodel of knowledge transfer that enables the processes of knowledge engineering to be analyzed andautomated.展开更多
The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experiences. In this paper, an intelligent decision support system, IDSS is defined as: "any interactiv...The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experiences. In this paper, an intelligent decision support system, IDSS is defined as: "any interactive system that is specially desinged to improve the decision making of its user by extending the user’s cognitive decision making abilities." As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human’s role is to achieve total system’s objectives. The paper outlines the designing procedure in successive steps. The first identifies the decision maker’s cognitive needs for decision support. The second defines the computationally realizable support functions that could be provided by IDSS. The third, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.展开更多
文摘The limitations of traditional approaches to selection problems are examined. A problemsolving strategy is presented in which decision-support and knowledge-based techniques play complementary roles. An approach to the representation of knowledge to support the problem-solving strategy is presented which avoids commitment to a specific programming language or implementation environment. The problem of choosing a home is used to illustrate the representation of knowledge in a specific problem domain. Techniques for implementation of the problem-solving strategy are described. Knowledge elicitation techniques and their implementation in a development shell for application of the problem-solving strategy to any selection problem are also described.
基金Project supported by the European Social Fund,European Union
文摘For the designing of cutting-dies is a complex and experience-based process,it is poorly supported by conventional 3D CAD software.Thus,the majority of design activities,including the(re)modeling of those cutting die-components that are directly responsible for performing shaping operations on a sheet-metal stamping part,traditionally still need to be carried-out repetitively,separately,and manually by the designer.To eliminate some of these drawbacks and upgrade the capabilities of conventional 3D CAD software,this paper proposes a new methodology for the development of a parametric system capable of automatically performing a(re)modeling process of compound washer dies' cutting-components.The presented methodology integrates CATIA V5 built-in modules,including Part Design,Assembly Design and Knowledge Advisor,publication mechanism,and compound cutting die-design knowledge.The system developed by this methodology represents an 'intelligent' assembly template composed of two modules GAJA1 and GAJA2,respectively.GAJA1 is responsible for the direct input of the die-design problem regarding the shape,dimensions and material of the stamping part,its extraction in the form of geometric features,and the transferring of relevant design parameters and features to the module GAJA2.GAJA2 interprets the current values for the input parameters and automatically performs the modeling process of cutting die-components,using die-design knowledge and the company's internal design and manufacturing standards.Experimental results show that this system significantly shortens the modeling-time for cutting the die-components,improves the modeling-quality,and enables the training of inexperienced designers.
文摘The paper presents the coupling of artificial intelligence-AI and Object-oriented methodology applied for the construction of the model-based decision support system MBDSS.The MBDSS is designed for support the strategic decision making lead to the achievemellt of optimal path towardsmarket economy from the central planning situation in China. To meet user's various requirements,a series of innovations in software development have been carried out, such as system formalization with OBFRAMEs in an object-oriented paradigm for problem solving automation and techniques of modules intelligent cooperation, hybrid system of reasoning, connectionist framework utilization,etc. Integration technology has been highly emphasized and discussed in this article and an outlook to future software engineering is given in the conclusion section.
文摘This paper examines the use in assisting naval operators in managing the of a fuzzy knowledge-based system （KBS） situation and threat assessment problem in a littoral environment. Under the scenario created involving air contacts in a littoral environment, the assessment of the KBS model is conducted and the results show that the correlation between assessment and human operation officers＇ judgment was high. The fuzzy KBS with its corresponding toolkits is much more flexible to be integrated with other components of a command and control system, while the fine-tuning of membership functions and fuzzy inference rules are intensive, this makes any further modification a non-trivial task.
文摘The paper presents a cognitive science framework for the analysis of knowledge-based systems,including people, media. simulation and expert systems, resulting in a practical model for the procedures ofknowledge engineering. Starting with the construct of a social organization model driven by anticipationand thed differentiating this into pesonal scientists with diverse relations to people and their internal andexternal communication, it provides powerful and general model of society. people, and the roles of peoplein society. This model extends naturally ic the role of conventional media in the knowledge processes ofsociety and the new roles of computer-based simulation and expert systems. In particular it provides amodel of knowledge transfer that enables the processes of knowledge engineering to be analyzed andautomated.
文摘The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experiences. In this paper, an intelligent decision support system, IDSS is defined as: "any interactive system that is specially desinged to improve the decision making of its user by extending the user’s cognitive decision making abilities." As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human’s role is to achieve total system’s objectives. The paper outlines the designing procedure in successive steps. The first identifies the decision maker’s cognitive needs for decision support. The second defines the computationally realizable support functions that could be provided by IDSS. The third, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.
