资产评估信息的辨识与规整模式研究

发布时间：2018-01-23 08:36

本文关键词： 资产评估信息辨识信息规整　出处：《华北电力大学》2014年硕士论文　论文类型：学位论文

【摘要】：资产评估行业是一个以信息收集和利用为基础的服务性行业。优质的信息是资产评估质量的重要保证,评估结果是否有效与评估过程所采集的信息是否真实、可靠密切相关,因此,信息的采集、鉴别、筛选和整理也就成为评估行业工作的一项重要过程。通过这个过程,确保信息质量完好,有效性增强。但是当前如何降低评估过程中信息采集的随意性,规范信息辨识、规整的过程这方面并没有引起资产评估领域研究者的足够重视。针对这一问题,本文首先结合资产评估及信息概念的相关理论,总结出了资产评估信息的含义,并基于其本质,对资产评估信息的类别和特征进行了理论探讨。其次,考虑资产评估及其信息的特点,从资产评估信息采集的前期工作、信息采集的原则、信息源的确定、信息采集的方法等方面对信息采集的过程进行了规范,以使信息采集达到预期目的,取得良好的效果。再次,对信息辨识进行了理论分析,并介绍了评估人员进行信息辨识采用的具体方法,在此基础上,总结出了评估人员进行信息辨识的具体流程,并借鉴模糊评价方法,对信息辨识从新的角度进行了建模与实例分析。通过对采集到的信息进行辨识,使信息质量提高,有效性增强。最后,在明确信息规整的含义的基础上,研究了评估人员进行信息规整的现有模式,并针对当前模式存在的缺陷进行改进,对新方法进行了建模与实例分析。本文对信息辨识和规整的研究既建立在现有模式的基础之上,又含有定量的推导过程,为科学、合理地进行资产评估信息辨识和规整提供了依据。经过辨识和规整后的信息内容上相关性、可靠性、适用性大大提高,形式上更加规范有序、条理清晰,满足评估人员的需要,可以提高评估效率,为后续评估人员高效、科学、准确地进行评定估算奠定基础。本文对资产评估信息辨识和规整模式的研究不仅为资产评估实务中的信息处理提供科学、可供借鉴的理论支持,也为将来评估人员在资产评估信息管理系统中进行信息分析提供了新思路,可以作为资产评估信息分析工作的一个发展方向,对其他学科的信息研究均有借鉴意义。
[Abstract]:Asset evaluation industry is a service industry based on information collection and utilization. High quality information is an important guarantee of asset evaluation quality. Whether the evaluation results are effective or not and whether the information collected in the evaluation process is true. Reliability is closely related, therefore, the collection, identification, screening and collation of information is an important process of evaluating the work of the industry. Through this process, to ensure the quality of information intact. However, how to reduce the randomness of information collection and standardize the identification of information in the evaluation process has not been paid enough attention by the researchers in the field of asset evaluation. In order to solve this problem, this paper first combines the theory of asset evaluation and information concept, summarizes the meaning of asset evaluation information, and based on its essence. Secondly, considering the characteristics of asset evaluation and its information, from the previous work of asset evaluation information collection, the principles of information collection, the determination of information sources. Information collection methods and other aspects of the process of information collection are standardized in order to achieve the desired purpose of information collection and achieve good results. Thirdly, the information identification is analyzed theoretically. On the basis of this, the concrete process of information identification for evaluators is summarized, and the fuzzy evaluation method is used for reference. Information identification from a new perspective of modeling and case analysis. Through the collection of information identification to improve the quality of information and enhance the effectiveness. Finally, on the basis of clear meaning of information regularity. This paper studies the existing model of evaluating personnel to organize information, and improves on the defects of the current model. The research on information identification and regularity is not only based on the existing models, but also contains a quantitative derivation process, which is a science. Reasonable identification and regulation of asset evaluation information provide the basis. After identification and regulation of the information content relevance reliability applicability greatly improve the form of more standardized and orderly and clear. Meeting the needs of the evaluators can improve the evaluation efficiency and lay the foundation for the evaluation and estimation of the subsequent evaluators efficiently, scientifically and accurately. This paper not only provides scientific and theoretical support for information processing in asset appraisal practice, but also provides theoretical support for asset evaluation information identification and regularization model. It also provides a new idea for the information analysis of asset appraisal information management system, which can be regarded as a development direction of asset evaluation information analysis. It can be used for reference to the information research of other disciplines.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F233

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