面向任务的网购物流配送资源分类及其信息化表征方法研究

发布时间：2018-05-27 13:06

本文选题：网购物流 + 数据挖掘　；参考：《重庆大学》2015年硕士论文

【摘要】：在当前互联网技术迅猛发展和计算机信息技术快速普及的背景下,我国电子商务市场规模日益稳定扩大,网络购物的发展前景也更加广阔。而网购客户规模的持续增长,也促进了物流服务行业业务量的激增,为其快速发展提供良好的契机。在此形势下,物流服务业作为一项增值业务已经逐渐成为我国国民经济发展的支柱产业之一。信息化建设是我国本土网购物流配送行业发展的必经之路,也是物流领域的研究热点。科学的分类方法是物流资源信息化建设的基础,然而行业管理层和操作层从主观上和经验上的分类缺乏科学理论支撑以及客观数据基础,导致资源类别间的相似性越来越近,资源类别信息越来越繁杂,制约了网购物流配送企业在“专而灵”业务方向上的发展。另一方面,当前网购业务逐步转变到具有偏好推送功能的服务模式,以客户需求为导向的物流服务成为形势所趋。同时,物流资源信息化的过程中往往缺乏具有较高扩展性的科学表征方法,这也成为物流行业资源共享和信息化发展的瓶颈,总而言之,便捷高效性、推送匹配性以及扩展兼容性是网购物流配送资源配置管理以及信息化建设的三个主要需求。本文结合当前的大数据这一研究热点,以逆向探究的思路对物流资源进行研究。充分利用物流行业实际运营过程中的海量样本数据,提出面向任务的网购物流配送资源的分类及其信息化表征方法。具体内容如下:①对网购物流配送资源业务的特性及其需求进行研究。对物流资源的类别体系以及属性结构进行分析,研究了网购物流配送资源分类及信息化表征的需求,提出了面向网购物流配送任务决策属性及其对应资源类别体系的概念,最后概述了数据挖掘技术、粗糙集、本体概念的基本理论,为后续的研究提供了基础。②提出了面向任务的网购物流配送资源分类方法。探讨了基于决策表的属性约简方法,并提出基于互信息的物流资源属性约简方法。在属性约简的基础上,结合ID3算法提出了基于属性重要度的物流资源分类方法,探讨了基于可信度CD的不相容信息处理方法,最终挖掘出面向任务的网购物流配送资源分类规则。③提出了面向任务的网购物流配送资源信息化表征方法。论述了构建网购物流配送资源本体的需求,提出了资源信息库构建的原则,分析基于本体模型的网购物流配送资源的类、类的等级以及类的属性结构。通过OWL对模型进行描述,并通过protégé工具构建具有推送匹配能力的本体资源信息库,最后通过算例验证了资源分类方法的合理性和信息化表征方法的有效性。
[Abstract]:Under the background of the rapid development of Internet technology and the rapid popularization of computer information technology, the scale of e-commerce market in our country is increasing steadily and expanding day by day, and the development prospect of online shopping is wider and wider. The continuous growth of online shopping customers also promotes the surge of logistics service business, and provides a good opportunity for its rapid development. In this situation, logistics service industry as a value-added business has gradually become one of the pillar industries in the development of our national economy. Information construction is the only way for the development of local online shopping logistics distribution industry, and it is also a research hotspot in the field of logistics. The scientific classification method is the foundation of logistics resources informatization construction. However, the classification of industry management and operation level lacks of scientific theory support and objective data base, which leads to the similarity between resource categories getting closer and closer. Resource category information is becoming more and more complicated, which restricts the development of online shopping logistics distribution enterprises. On the other hand, the current online shopping business gradually changes to the service mode with the preference push function, and the customer demand oriented logistics service becomes the trend of the situation. At the same time, in the process of logistics resources informatization, there is often a lack of scientific representation method with high expansibility, which has become the bottleneck of logistics industry resource sharing and informatization development. In short, it is convenient and efficient. Push matching and extended compatibility are the three main requirements of online shopping logistics distribution resource allocation management and information construction. Combined with the current research focus of big data, this paper studies logistics resources with the idea of reverse exploration. Taking full advantage of the massive sample data in the actual operation of logistics industry, this paper proposes a task-oriented classification and information representation method of logistics distribution resources for online shopping. The specific contents are as follows: 1. Research on the characteristics and requirements of online shopping logistics distribution resource business. This paper analyzes the classification system and attribute structure of logistics resources, studies the requirements of classification and information representation of logistics distribution resources for online shopping, and puts forward the concept of decision-making attribute and corresponding resource category system for logistics distribution task oriented to online shopping. Finally, the basic theory of data mining technology, rough set and ontology concept is summarized, which provides the basis for further research. 2. A task-oriented classification method of logistics distribution resources for online shopping is proposed. The attribute reduction method based on decision table is discussed, and the attribute reduction method of logistics resources based on mutual information is proposed. Based on attribute reduction and ID3 algorithm, a classification method of logistics resources based on attribute importance is proposed, and the incompatible information processing method based on credibility CD is discussed. Finally, a task-oriented representation method of online shopping logistics distribution resources is proposed. This paper discusses the requirements of constructing the ontology of logistics distribution resources of online shopping, puts forward the principles of constructing resource information database, and analyzes the class, the grade and the attribute structure of the class of logistics distribution resources of online shopping based on ontology model. The model is described by OWL, and the ontology resource database with push matching ability is constructed by prot 茅 g 茅 tool. Finally, the rationality of the resource classification method and the effectiveness of the information representation method are verified by an example.
【学位授予单位】：重庆大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F724.6;F259.2

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