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A Novel Text retrieval Algorithm for Public Crisis cases

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Chinese Journal of Electronics 2019年第4期28卷 712-717页

作者： PENG Yan WANG Jie JIAO Lulin School of Management Capital Normal University

Public crisis has the characteristics of suddenness and uncertainty, and it is necessary to combine the knowledge with the experience of other similar situations to make decisions effectively and *** work combines artificial intelligent theory with information technology and brings case-based reasoning to build models consisting of the features of public crisis. We explore the case-representation approach and build a case-based retrieval algorithm. Combining the specificness of case-based reasoning(CBR) technology in the monitoring of public crisis events, a new case retrieval algorithm for public crisis cases, named as Combined multi-similarity with set of simi-larity matching algorithm based on sememe(CMSBS), is proposed to analyze the cases with high similarity to current *** CMSBS algorithm considers the structural and semantic similarities between two public crisis cases comprehensively. Simulation experiments are performed to validate the representation method of the knowledge,and the simulation results demonstrate that the CMSBS algorithm has superior performance in the average number of matching cases and matching accuracy rate and can work well in providing reference cases for subsequent events.

关键词： Knowledge representation case retrieval Public crisis case-based reasoning

Applying CBR to Machine Tool Product Configuration Design Oriented to Customer Requirements

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Chinese Journal of Mechanical Engineering 2017年第1期30卷 60-76页

作者： WANG Pengjia GONG Yadong XIE Hualong LIU Yongxian NEE Andrew Yehching School of Mechanical Engineering and Automation Northeastern University Department of Mechanical Engineering National University of Singapore

Product customization is a trend in the current market-oriented manufacturing environment. However, deduction from customer requirements to design results and evaluation of design alternatives are still heavily reliant on the designer＇s experience and knowledge. To solve the problem of fuzziness and uncertainty of customer requirements in product configuration, an analysis method based on the grey rough model is presented. The customer requirements can be converted into technical characteristics effectively. In addition, an optimization decision model for product planning is established to help the enterprises select the key technical characteristics under the constraints of cost and time to serve the customer to maximal satisfaction. A new case retrieval approach that combines the self-organizing map and fuzzy similarity priority ratio method is proposed in case-based design. The self-organizing map can reduce the retrieval range and increase the retrieval efficiency, and the fuzzy similarity priority ratio method can evaluate the similarity of cases comprehensively. To ensure that the final case has the based on grey correlation analysis is proposed to evaluate similar cases best overall performance, an evaluation method of similar cases to select the most suitable case. Furthermore, a computer-aided system is developed using MATLAB GUI to assist the product configuration design. The actual example and result on an ETC series machine tool product show that the proposed method is effective, rapid and accurate in the process of product configuration. The proposed methodology provides a detailed instruction for the product configuration design oriented to customer requirements.

关键词： customer requirements case-based reasoning machine tool case retrieval case evaluation computer-aided system

GIS Chinese Query System Based on CBR

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Wuhan University Journal of Natural Sciences 2009年第5期14卷 399-403页

作者： XU Aiping LIN Guang HUANG Yuan School of Computer Wuhan University Wuhan 430072 Hubei China 61512 Troops Beijing 100088 China

In this paper, the method of tmderstanding GIS Chinese query based on CBR （case-based reasoning） is proposed. The caseBase is designed on the grammar rule of Chinese query sentences, the cases that pick up the character of standard query language （SQL） and are expressed in form semantics. In retrieval, the concepts of target comparability, structure comparability and individual comparability are given. The algorithm of case retrieval searches first the case of structure comparability and then individual comparability. The SQL reasoning algorithm that first parses form semantics, then reasons on structure comparability, and finally reasons on individual comparability is realized. In the actual GIS, the structure comparability and individual comparability are tested respectively. The experiment results show that the strategy of CBR is correct and feasible. With the size of caseBase increasing through studies, the caseBase will eventually be perfected. The effect of retrieval and reasoning will become better and better.

关键词： Chinese query case-based reasoning(CBR) case- Base case retrieval comparability

Study on case-Based Fixture Design

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International Journal of Plant Engineering and Management 2002年第4期7卷 228-233页

作者： SHI Qi, YANG Hai-cheng, Li Yuan, State Key Laboratory of CAD/CAM, Northwestern Polytechnical University, Xi’an 710072, P.R.China State Key Laboratory of CAD/CAM Northwestern Polytechnical University Xi'an 710072 P. R. China

Fixture is an important manufacturing activity. A fixture design system based on case-based reasoning (CBR) is proposed in this paper. A new method of case representation on the basis of fixture function is presented, where the case representation is constituted of workpiece knowledge, processing feature knowledge, and fixture feature knowledge. Running the prototype system shows that the knowledge representation method, using cases, s a better way to transform and explain the design knowledge.

关键词： case-based reasoning fixture design knowledge representation case retrieval

Fault Diagnosis Method for Complex Equipment using cased-based Reasoning

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Fault Diagnosis Method for Complex Equipment using Cased-bas...