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Research on Multi-Attribute Auction Based on Rough Set in Non-performing Asset Disposal

机译:不良资产处置中基于粗糙集的多属性拍卖研究

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The major role of Asset Management Corporation (AMC) is to purchase, manage and dispose of Non-Performing Loans (NPLs) acquired from financial institutions. The Company's operational goal is to preserve the asset value and maximize the recovery value. Asset management corporation (AMC) will adapt suitable measures to specific conditions in NPLs and collateral disposition. Those measures include sale, exchange, restructuring, debt-equity swap, securitization and auction. Auction is the most popular one. But most auction processes are concerned with the price, among which the making process is the only attribute in the decision. It is necessary to study multi-attributes auction in which we conduct auction with more attributes. But the traditional methods have obvious shortcomings. So many attributes lead to heaven work burden and the individual factors affect the allocation of attribute. This paper firstly presents an approach based on rough sets to solve the problem of attribute reduction and setting weight in multi-attributes decision making of asset disposal.
机译:资产管理公司(AMC)的主要作用是购买,管理和处置从金融机构获得的不良贷款(NPL)。公司的经营目标是保留资产价值并最大程度地提高回收价值。资产管理公司(AMC)将根据不良贷款和抵押处置的特定条件调整适当的措施。这些措施包括出售,交换,重组,债转股,证券化和拍卖。拍卖是最受欢迎的拍卖。但是大多数拍卖过程都与价格有关,而制作过程是决策中的唯一属性。有必要研究多属性拍卖,其中我们进行具有更多属性的拍卖。但是传统方法有明显的缺陷。如此多的属性导致天上的工作负担,并且各个因素影响属性的分配。本文首先提出了一种基于粗糙集的方法来解决资产处置多属性决策中的属性约简和权重设置问题。

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