群决策中两类偏好信息——AHP判断矩阵和模糊偏好关系矩阵的一致化方法

在有限方案的群决策问题中，如何统一具有不同形式的偏好信息是一个新的研究课题。本文针对群决策中决策者给出着于方案的两类偏好信息－AHP判断矩阵和模糊偏好关系矩阵，通过构造转换函数，给出关于这两类偏好信息的一致化方法，这为研究群决策中不同形式偏好信息的集成方法和方案排序打下了坚实的基础，最后给出一个算例。     

基于时间和路径偏好的交通流分配模型与诱导策略

考虑交通网络中出行者不仅具有路径选择偏好, 同时具有时间偏好的特征, 分别针对出行者是否具有时间或路径选择偏好的4种不 同情形, 建立相应的交通流分配模型. 通过分析这4个模型的性质, 分别给出了有效的求解方法. 在分析4种不同情形 下出行者总出行时间的相互关系基础上, 设计了时间诱导和路径诱导策略. 最后, 以西安市东南郊清明假日交通流分 配为例, 分别模拟分析了不进行诱导, 进行时间诱导, 进行路径诱导的情形下高峰期的交通流分配, 该实例验证了时 间诱导策略与路径诱导策略的有效性.     

Predictive modeling of consumer color preference: Using retail data and merchandise images

The popularity of a fashion item depends on its color, shape, texture, and price. For different items (with all attributes identical except color) of a specific product, fashion retailers need to learn consumer color preference and decide their order quantities accordingly to match their products to consumer demand. This study aims to predict consumer color preference using the knowledge learned from merchandise images, historical retail data, and fashion trends. In our work, merchandise images are analyzed to extract color features, and the retail data of a sportswear retailer are used to reveal consumer choices among items with various colors. Choice behavior is described by a multinomial logit model, whose utility function captures the relationship between color features and popularity. Both linear functions and neural networks are applied to represent the utility function, and their out-of-sample prediction performances are compared. According to the out-of-sample performance test, our model shows reasonable predictive power and can outperform order decisions made by fashion buyers.     

考虑客户时间偏好的第四方物流路径优化问题

为使第四方物流系统能够在不确定环境下为客户提供有效的运输方案,在一定费用投入下获得更高的客户满意度,研究考虑客户时间偏好的第四方物流路径优化问题.基于累积前景理论,以最大化总运输时间的前景值为目标,建立考虑客户时间偏好的数学模型,并采用蚁群算法对模型进行求解,数值算例验证了算法的有效性·并且,将该模型与传统的期望值模型和期望效用模型进行对比,算例分析表明,考虑客户时间偏好模型可以更有效地描述客户心理行为,并适用于具有不同风险态度的客户群体,验证了模型的有效性.     

太行猕猴自由取食时利手现象的观察

本文报道了太行猕猴自由取食时的利手现象,共观察笼养猕猴21只。统计结果表明,少年期组个体没有利手现象存在,成年组存在明显的个体利手优势,雌猴用右手多于左手,雄猴使用左手多于右手;群体太行猕猴不存在利手现象。     

A Study on Social Choice Making:the Number of Admissible Preference Orderings for SMV

In this paper,we study,mathematically speaking,the problem-the number of admis-sible preference orderings for the transitivity of simple majority vote(SMV)derived from Arrow'sImpossibility Theorem.In our research,we find,by computer enumerating,that some results givenby Craven are not correct.By defining a set of constraints,we give the recurrence formula of thelocal maximal number of admissible preference orderings and some other useful results.     

基于优先权提取计算信息及目标排序

本文讨论目标排序问题, 给出了一个提取可靠优先权并用于排序的决策过程, 介绍了不相容索引的计算方法。     

证券组合投资的区间数线性规划方法

提出证券组合投资分析的区间数线性规划方法．基于区间数线性规划问题的最优性条件将目标函数和约束条件均为区间数的区间数线性规划问题转化成目标函数为区间数的区间数线性规划问题，通过引入衡量投资者风险喜好的风险偏好系数α，将区间数线性规划问题转化为参数线性规划问题．使证券组合投资决策更加具有柔性．最后通过实例分析了该模型的应用价值．     

数据包络分析中偏好的研究

从锥比率数据包络分析模型Ｃ２ＷＨ出发，分析和研究ＤＥＡ中偏好问题，得到了ＤＥＡ模型的一个更为一般的描述．然后分别给出了对单元和指标偏好的两种定义，探讨了ＤＥＡ模型在这些定义下对单元和指标偏好的线性结构，并证明了有关结论．最后结合评估实际，给出了一个应用的例子．     

Delivery mode selection of home furnishing e-retailer based on a combination of logistics delivery and installation service

With the increasing demand for online home-furnishing products, product delivery services, especially installation services, have become increasingly regarded as bottlenecks and key factors for success. Meanwhile, customers have different preferences for a combination of delivery modes because of separated or synchronized logistics delivery from installation services. It is essential for online home-furnishing e-retailers to self-build or outsource installation services. This study investigates the optimal delivery mode selection of home-furnishing e-retailers in a home-furnishing supply chain consisting of a home-furnishing e-retailer, a third-party installation service provider (ISP), and a third-party logistics service provider (LSP). Specifically, we explore three alternative modes: (ⅰ) The home-furnishing e-retailer undertakes the installation service (Mode E); (ⅱ) the ISP undertakes the installation service (Mode I); (ⅲ) the LSP undertakes the installation service (Mode L). The results reveal that the self-build mode does not always generate the highest installation service level, and the integrated delivery mode may generate the highest installation service level when the cost performance of the installation service is relatively low. Moreover, optimal delivery mode selection depends on the installation service’s cost performance. When the installation service’s cost performance is relatively low, the e-retailer and the LSP reach a “win-win” situation from the integrated delivery mode. When the installation service’s cost performance is relatively high and the self-build fixed cost is low, the e-retailer and the LSP reach a win-win situation from the self-build mode. Interestingly, compared with the outsourced integrated service mode, the self-build integrated service mode is not a better choice for the e-retailer if the self-build fixed cost is too high. Our study contributes to the growing literature on home furnishing and guides the implementation of delivery strategies for large-product online retailers.