發(fā)布時間：2018-03-28 01:36

  本文選題：實例規(guī)則　切入點：混合推理　出處：《貴州師范大學(xué)》2017年碩士論文

【摘要】：隨著國民生活水平不斷提高,在面對紛繁的家電產(chǎn)品世界時,消費者從中選購一款價格合理、功能完備、簡單易操作產(chǎn)品的決策成本越來越高。因為家電行業(yè)已從過往功能補齊階段向著高智能化、低能效上邁進。重技術(shù)、重品牌的發(fā)展方式對于中國家電行業(yè)來說無疑是一次正確的選擇。但卻無形中增添了消費者的選購成本,家電行業(yè)的蓬勃發(fā)展帶來了產(chǎn)品劃分的細化,使得可供用戶選擇的家電產(chǎn)品品牌越發(fā)豐富,面對各大家電企業(yè)眾多產(chǎn)品資源,消費者找到真正心儀家電的選購成本只會越來越高。正是由于上述實際情況的存在,本文首先對家電產(chǎn)品選購知識獲取及應(yīng)用現(xiàn)狀進行了分析,發(fā)現(xiàn)了目前各大家電企業(yè)更多地關(guān)注生產(chǎn)和制造產(chǎn)品知識的獲取,忽視了家電產(chǎn)業(yè)鏈最末端的家電選購知識的獲取。但家電選購是家電企業(yè)為用戶生產(chǎn)各類服務(wù)中極其重要的一種服務(wù),也是企業(yè)給用戶留下第一印象的服務(wù)。為了能降低消費者的決策成本,本文引入了基于實例推理(Case-Based-Reasoning,CBR)和基于規(guī)則推理(Rule-Based-Reasoning,RBR)這兩種推理技術(shù)并進行了詳細介紹,在結(jié)合基于實例推理(Case-Based-Reasoning,CBR)和基于規(guī)則推理(Rule-Based-Reasoning,RBR)優(yōu)點的基礎(chǔ)上,提出了一個基于實例規(guī)則混合推理的家電產(chǎn)品選購的信息查詢方法。并從推理流程、推理實例的特征相似性、推理規(guī)則的確定、推理方法的實現(xiàn)等方面展開研究工作,在此基礎(chǔ)之上利用“JAVA+MYSQL”框架構(gòu)建了一個家電選購系統(tǒng)。并以洗衣機為實例進行驗證和說明。通過應(yīng)用結(jié)果表明,本文在家電產(chǎn)品選購知識獲取、推理方法的研究是一次有意義的探索,所提出的基于實例規(guī)則混合推理思路為家電企業(yè)提供了一個新的方向。
[Abstract]:As the standard of living of the people continues to improve, in the face of the complicated world of household appliances, consumers choose a reasonable price and complete function from it. The decision costs of simple and easy to operate products are becoming more and more expensive, as the home appliance industry has moved from the previous functional replenishment phase to high intelligence and low energy efficiency. The development of heavy brand is undoubtedly the right choice for the Chinese household appliance industry. But it adds to the consumer's purchasing cost, and the booming development of the household appliance industry has brought about the refinement of the product division. This makes the brand of household appliances more and more available for users to choose. In the face of the numerous product resources of major home appliances enterprises, the cost of consumers finding genuine home appliances will only become higher and higher. It is precisely because of the existence of the above actual situation, Firstly, this paper analyzes the current situation of knowledge acquisition and application of household electrical appliances, and finds out that the major home appliance enterprises pay more attention to the knowledge acquisition of production and manufacturing products. The acquisition of the knowledge of home appliances selection and purchase at the end of the industry chain of household appliances has been neglected, but the purchase of household appliances is an extremely important service in the production of various kinds of services for the users by home appliances enterprises. In order to reduce the decision cost of consumers, this paper introduces two reasoning techniques, Case-Based-ReasoningCBR( CBR) and Rule-Based-Reasoninging (RBR), and introduces them in detail. On the basis of combining the advantages of Case-Based-Reasoning CBR and Rule-Based-Reasoninging RBR, a case-rule-based hybrid reasoning information query method for household appliance products is proposed. On the basis of the research work on the determination of inference rules and the realization of reasoning methods, a home appliance selection and purchase system is constructed with the framework of "JAVA MYSQL". The washing machine is taken as an example to verify and explain. The application results show that, In this paper, it is a meaningful exploration to study the knowledge acquisition and reasoning method of household appliances. The hybrid reasoning method based on case-based rules provides a new direction for household appliance enterprises.
【學(xué)位授予單位】：貴州師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP18;TM925.33

【參考文獻】

相關(guān)期刊論文 前10條

1 陳倩;楊育;張雪峰;于國棟;;客戶協(xié)同產(chǎn)品開發(fā)模糊前端階段創(chuàng)意知識獲取[J];計算機輔助設(shè)計與圖形學(xué)學(xué)報;2017年01期

2 楊明朗;胡雅婷;;“互聯(lián)網(wǎng)+”與傳統(tǒng)家電產(chǎn)品的創(chuàng)新之路[J];包裝工程;2016年12期

3 錢德成;吉衛(wèi)喜;孫斌;堵士俊;;運用混合推理的數(shù)控加工刀具智能選擇的研究[J];現(xiàn)代制造工程;2015年10期

4 文天柱;許愛強;王怡蘋;;基于可拓規(guī)則推理的故障診斷方法[J];北京航空航天大學(xué)學(xué)報;2016年03期

5 陰艷超;丁衛(wèi)剛;吳磊;;基于不確定規(guī)則推理的云制造知識服務(wù)方法[J];計算機集成制造系統(tǒng);2015年04期

6 王宏君;藺娜;敬石開;;支持知識不確定性的工程知識獲取[J];計算機集成制造系統(tǒng);2015年10期

7 馬森;趙文;袁崇義;張世琨;王立福;;基于規(guī)則推理的語義檢索若干關(guān)鍵技術(shù)研究[J];電子學(xué)報;2013年05期

8 吳冰;張辰彥;;知識庫存對SNS企業(yè)知識社區(qū)中E-Learning知識獲取的影響[J];系統(tǒng)工程理論與實踐;2013年03期

9 黃敏;林嘯;侯志文;;模糊故障Petri網(wǎng)建模方法及其應(yīng)用[J];中南大學(xué)學(xué)報(自然科學(xué)版);2013年01期

10 鄧朝暉;唐浩;劉偉;萬林林;曹德芳;張曉紅;曾宇;;凸輪軸數(shù)控磨削工藝智能應(yīng)用系統(tǒng)研究與開發(fā)[J];計算機集成制造系統(tǒng);2012年08期

相關(guān)博士學(xué)位論文 前2條

1 羅川;不完備數(shù)據(jù)的動態(tài)知識獲取方法研究[D];西南交通大學(xué);2015年

2 張爽;面向產(chǎn)品設(shè)計的知識工程若干關(guān)鍵問題研究[D];東北大學(xué);2014年

相關(guān)碩士學(xué)位論文 前3條

1 葉進軍;基于RBR和CBR混合推理的數(shù)控系統(tǒng)智能故障診斷[D];武漢科技大學(xué);2011年

2 王甜甜;PCB的審查規(guī)則知識表示及智能審查方法研究[D];西安電子科技大學(xué);2011年

3 嚴(yán)波;基于實例推理的車床主軸部件智能CAD系統(tǒng)研究[D];東北大學(xué);2010年

，

本文編號：1674199