混合多属性商业银行绩效的测度——基于BSC-FANP-EVIKOR方法的研究

本文基于BSC、FANP和扩展的VIKOR集成方法研究商业银行绩效测度问题。首先基于平衡计分卡(BSC)构建商业银行绩效测度指标体系,然后采用模糊网络层次法(FANP)确定指标的权重。考虑到测度过程中可能存在不完全信息和不确定信息,即属性值可能为模糊数,提出扩展的VIKOR方法,以解决银行绩效混合多属性(确定数、模糊数)测度问题。以5个银行为例进行绩效测度,发现本文提出的方法具有一定的稳定性。     

顾客满意度的TOPSIS算法研究

当今“顾客满意”已经成为现代市场营销的核心。“顾客满意”的理论和实践的发展必然对其提出数量化的处理目标。在建立测评指标体系的基础上,将TOPSIS算法应用于顾客满意度测评体系中,为顾客满意度测评提供一种新的思路和方法。     

基于多属性第二评分拍卖模型的物流交易研究——基于鲜活农产品物流的仿真实验

多属性拍卖突破了传统拍卖理论仅以期望收益最大为目标的限制,考虑了包括价格和质量等在内的多因素决策变量。因为物流交易因时间、地点、内容的不同而具有特殊性,因此对其真实成本信息揭示非常重要。本文构建了一个将多属性与传统二价拍卖模型相结合的多属性第二评分拍卖交易模型来解决物流交易成本信息不对称的问题,并实现了物流成本、质量等多属性综合优化。最后,基于鲜活农产品物流的仿真算例对上述模型进行了仿真实验。     

A Generic Framework for Automated Multi-attribute Negotiation

Agents in a negotiation may have to negotiate multiple issues simultaneously. Automated multi-attribute negotiation provides an important mechanism for distributed decision makers to reach agreements on multiple issues. Moreover, it also furnishes the opportunity to reach “win–win” solutions. In this paper, we first provide a survey that synthesizes the research on multi-attribute negotiation. We discuss the limitations of the existing research and conclude that three key issues need further study: incomplete information, Pareto optimality, and tractability. We then present a generic framework for automated multi-attribute negotiation with two new mechanisms that address the above issues. Finally, we discuss the challenges and directions for future work.     

A Multi-Attribute Negotiation Support System with Market Signaling for Electronic Markets

Despite the rapid growth of technology and Internet-based markets, many of the current systems limit themselves to price as the single dimension variable and offer, if at all, only minimal negotiation support to the consumer. In the real world, commercial transactions take into account many other parameters both quantitative and qualitative such as product quality, speed, reputation, after sales service, etc. This paper discusses how these multiple attributes can be captured to augment standard negotiation processes in order to support electronic market transactions. Using a combination of utility theory and multicriteria decision-making, we propose heuristic algorithms to discover potential trades. In addition, the approach is included within a larger framework that incorporates market-signaling mechanisms. This not only allows for the systematic evolution of negotiation positions among buyers and sellers but can ultimately lead towards improving both market transparency and efficiency. To illustrate the multiple criteria model coupled with the dynamic market signaling framework, we report in this paper the implementation of a Web-based clearinghouse that serves the real estate market.     

一种不确定多属性决策模型

在多属性决策优化问题中,往往存在很多不确定信息。本文针对不确定的属性权重,在前人研究的基础上,将专家的主观权重和来自物理学的熵权相结合,产生新的不确定多属性决策问题权重确定方法。介绍相关概念,提出结合的方案,并论证新方法的可行性。     

Efficient Multi-Attribute Negotiation with Incomplete Information

Multi-attribute negotiation is an important mechanism for distributed decision makers to reach agreements in real-world situations. It allows the possibility of reaching “win-win” solutions for both parties, who trade off different attributes in a solution. Existing research on multi-attribute negotiations has mainly focused on the situations when negotiation parties have complete information about each other's preference. This paper presents a model with incomplete information, while considering Pareto-efficiency and computational efficiency. A non-biased mediator, who applies query learning to maintain near Pareto-efficiency without heavy computation, is adopted in the model. In addition, the mediating mechanism proposed in the model overcomes the difficulty of preference elicitation which usually arises in the preliminary step of a multi-attribute negotiation. Our model also reduces the negotiation complexity by decomposing the original n-dimensional negotiation space into a sequence of negotiation base lines. Agents can negotiate upon a base line with rather simple strategies. The experimental results show that near Pareto-efficient agreements can be reached effectively.     

电子采购中组合多属性招投标的优化研究

由于物品之间存在互补效应,往往投标者会将几个标的物作为一个组合标进行投标。这一方式在传统的多物品电子采购中仅仅从价格或成本的考虑来确定竞胜标,因而无法同时解决采购中的多属性问题。在网络技术的支持下,这种组合招投标的采购模式已经成为可能。通过以最大化采购方的效用为目标建立数学模型,并运用禁忌搜索算法进行求解,可满足多属性决策的招投标方法要求,解决电子采购中对于具有互补效应的多物品多属性的竞胜标确定问题。但由于问题自身的复杂性,对此类问题的研究处于起步阶段,对于多属性间的关系研究,多属性评价方法的改进,以及求解方法的研究与计算效率的提高等问题还有待于进一步解决。