本文選題：可拓學　切入點：策略生成　出處：《廣東工業(yè)大學》2013年碩士論文

【摘要】：隨著社會經(jīng)濟全球化發(fā)展,企業(yè)競爭由產(chǎn)品競爭轉向市場競爭,市場競爭的關鍵在于爭奪客戶資源,如今,客戶已經(jīng)成為企業(yè)生存發(fā)展的重要資源。為了維持企業(yè)的長期發(fā)展,增加企業(yè)的核心競爭力和提高企業(yè)的利潤,很多企業(yè)管理者都越來越重視客戶關系的管理和客戶的價值的提高。此外,客戶關系理論也越來越受到研究者的重視,許多國內外學者對客戶關系和客戶價值進行了長期的研究,并將研究的成果成功應用到商業(yè)領域。本文通過對客戶價值理論的了解、利用決策樹技術和可拓學方法理論分析設計了提高客戶價值的可拓策略生成系統(tǒng),從理論上和實踐上探索了決策樹技術在策略生成系統(tǒng)的應用問題,為以后的研究提供了基礎和方向。 在目前的可拓策略生成系統(tǒng)的方法中,一般都是先建立矛盾問題的可拓模型,然后通過關聯(lián)函數(shù)分析,建立問題庫和策略庫,在策略生成階段,采用菱形思維方法生成策略,即先用發(fā)散思維對矛盾問題的相關樹進行可拓變換,然后采用收斂的思維方法對生成的策略進行評價,推薦優(yōu)度高的策略供決策者選擇。這種方法難以對矛盾問題的核心問題進行分析,生成的策略針對性不強。本文探討性地利用本體知識和決策樹技術共同建立本體知識拓展分析樹,通過本體知識拓展分析樹挖掘解決矛盾問題的可拓知識和矛盾問題的核心問題,采用對核心問題可拓變換的方法生成策略,這種方法提高了可拓策略生成系統(tǒng)的智能性和策略生成的準確性。 本文首先介紹了客戶價值理論、決策樹、本體知識和可拓策略生成的相關知識；其次,探討了提高客戶價值可拓模型的建立、本體知識拓展分析樹模型的建立過程,研究了本體知識拓展分析樹在可拓策略生成中的應用問題,即通過分析本體知識拓展分析樹的特征,挖掘客戶價值的可拓知識和矛盾問題的核心問題；再次,介紹了提高客戶價值的可拓策略生成步驟和生成的結果；最后,總結了本文的創(chuàng)新點和未來努力的方向。 本文的創(chuàng)新之處： (1)本文結合本體知識、決策樹技術和客戶價值的理論,提出了本體知識拓展分析樹概念,給出了本體知識拓展分析樹模型的構建過程,以及通過本體知識拓展分析樹建立目標與條件的核問題的過程。 (2)本文探討了本體知識拓展分析樹在可拓策略生成系統(tǒng)的應用研究。通過對本體知識拓展分析樹分析,獲得相關領域的可拓知識,有效找到矛盾問題的核心問題,并且對相關條件進行可拓變換,生成有效的策略供決策者選擇。 (3)本文根據(jù)客戶價值的可拓知識和核心問題,提出了提高客戶價值的可拓策略生成步驟,探索了策略生成的新模式。 本文是廣東省自然科學基金資助項目(批準號：10151009001000044)—“基于可拓數(shù)據(jù)挖掘的客戶價值研究”的研究成果。
[Abstract]:With the development of social and economic globalization, enterprise competition changes from product competition to market competition. The key of market competition is to compete for customer resources. Nowadays, customer has become an important resource for enterprise survival and development. To increase the core competitiveness of enterprises and improve the profits of enterprises, many enterprise managers pay more and more attention to the management of customer relationship and the improvement of customer value. In addition, the theory of customer relationship is paid more and more attention by researchers. Many scholars at home and abroad have carried out long-term research on customer relationship and customer value, and successfully applied the research results to the field of business. Based on the theory of decision tree technology and extension method, an extension strategy generation system is designed to improve customer value. The application of decision tree technology in policy generation system is explored theoretically and practically. It provides the basis and direction for the future research. In the present extension strategy generation system, the extension model of contradiction problem is established first, and then the problem base and strategy database are established by the correlation function analysis. In the strategy generation stage, the rhombic thinking method is used to generate the strategy. That is, using divergent thinking to transform the related tree of the contradiction problem, and then using the convergent thinking method to evaluate the generated strategy. Recommend strategies with high degree of excellence for decision makers. This method is difficult to analyze the core problems of contradictory problems. In this paper, ontology knowledge and decision tree technology are used to build ontology knowledge extension and analysis tree. The extension tree of ontology knowledge is used to mine the extension knowledge and the core problem of the contradiction problem, and the method of extension transformation of the core problem is adopted to generate the strategy. This method improves the intelligence and accuracy of extension policy generation system. This paper first introduces the theory of customer value, decision tree, ontology knowledge and extension strategy generation related knowledge, secondly, discusses the establishment of extension model for improving customer value, the process of building ontology knowledge extension analysis tree model. This paper studies the application of ontology knowledge extension analysis tree in extension strategy generation, that is, mining the core problem of customer value extension knowledge and contradiction by analyzing the characteristics of ontology knowledge expansion analysis tree. This paper introduces the generating steps and results of the extension strategy to improve customer value, and finally, summarizes the innovation points and the direction of future efforts in this paper. The innovations of this paper are as follows:. 1) based on the theory of ontology knowledge, decision tree technology and customer value, the concept of ontology knowledge extension analysis tree is put forward, and the process of constructing ontology knowledge expansion analysis tree model is given. And the process of establishing the kernel problem of target and condition through ontology knowledge extension and analysis tree. In this paper, the application of ontology knowledge extension analysis tree in extension strategy generation system is discussed. Through the analysis of ontology knowledge extension analysis tree, the extension knowledge in related fields is obtained, and the core problem of contradiction problem is found effectively. The extension transformation of the relevant conditions is carried out to generate effective strategies for decision makers to choose. 3) according to the extension knowledge and core problems of customer value, this paper puts forward the steps of generating extension strategy to improve customer value, and probes into a new model of policy generation. This paper is the research result of the project supported by Guangdong Natural Science Foundation (Grant No.: 10151009001000044- "customer value Research based on Extensible data Mining").
【學位授予單位】：廣東工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP391.1

【參考文獻】

相關期刊論文 前7條

1 演克武;張磊;孫強;;決策樹分類法中ID3算法在航空市場客戶價值細分中的應用[J];商業(yè)研究;2008年03期

2 陳巨龍,叢林;策略生成的可拓方法[J];廣東工業(yè)大學學報;2001年01期

3 陳嘉毅;陸曉曉;;品牌服裝企業(yè)客戶價值的保持和提升[J];輕紡工業(yè)與技術;2010年05期

4 權明富,齊佳音,舒華英;客戶價值評價指標體系設計[J];南開管理評論;2004年03期

5 楊春燕;李小妹;李衛(wèi)華;;客戶價值綜合關聯(lián)函數(shù)的構造方法[J];統(tǒng)計與決策;2012年21期

6 孟飛翔;帥立國;姜昌金;;決策樹在客戶價值分析中的應用[J];計算機技術與發(fā)展;2007年04期

7 楊蘭;盧潤德;;基于客戶價值的客戶分類方法研究[J];現(xiàn)代管理科學;2007年11期

相關碩士學位論文 前2條

1 李建新;自助游策略生成系統(tǒng)正交軟件體系結構研究[D];廣東工業(yè)大學;2011年

2 惠開敏;網(wǎng)上書店的設計與實現(xiàn)[D];山東大學;2009年

，

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