﻿ 基于DEA和FCA的旅游供应链合作伙伴的评价与选择

# 基于DEA和FCA的旅游供应链合作伙伴的评价与选择Evaluation and Selection of Tourism Supply Chain Partners Based on DEA and FCA

Abstract: Based on the construction of the evaluation index system of the travel supply chain partners, this paper evaluates the tourism supply chain partners by combining DEA (data envelopment analysis) and FCA (fuzzy comprehensive evaluation). The DEA model is adopted to evaluate the quantifiable indicators in the index system, and the FCA method is used to calculate the non-quantifiable indicators. The DEA evaluation results are further fuzzified, and combined with the FCA results another FCA processing is carried out to obtain the final evaluation results. This paper verifies the feasibility and effectiveness of this evaluation and selection method through an empirical study of five hotels in Shenzhen.

1. 引言

Figure 1. China tourism supply chain

2. 旅游供应链合作伙伴评价指标体系的构建

Table 1. Evaluation index of tourism supply chain partners

3. 合作伙伴选择方法

3.1. 合作伙伴选择的DEA方法

DEA是根据多项投入指标和多项产出指标，利用线性规划的方法，对具有可比性的同类型单位进行相对有效性评价的一种数量分析方法。DEA方法不需要对输出变量和输入变量的信息结构进行深入了解，能在一定程度上避免分析者主观因素的影响，其构建流程如图2所示。

3.2. 合作伙伴选择的FCA方法

FCA是一种基于模糊数学的综合评标方法，该方法根据模糊数学的隶属度理论把定性评价转化为定量评价，即用模糊数学对受到多种因素制约的事物或对象做出一个总体的评价。它具有结果清晰以及系统性强的特点，能较好地解决模糊的、难以量化的问题，适合各种非确定性问题的解决 [7]。FCA的评价过程如图3所示。

Figure 2. DEA processing

Figure 3. FCA processing

3.3. DEA与FCA相结合的合作伙伴选择

${r}_{j}=\left\{\begin{array}{l}\frac{x-\left(j-1\right)\frac{1}{p-1}}{\frac{1}{p-1}},\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\text{\hspace{0.17em}}\left(j-1\right)\frac{1}{p-1}\le x

4. 实证研究分析

4.1. 定性指标的FCA处理

Table 2. Statistical data of hotels’ qualitative indicators

Table 3. Evaluation results of hotels’ qualitative indicators

4.2. 定量指标的DEA及模糊化处理

Table 4. Statistical data of hotels’ quantitative indicators

Table 5. Fuzzy membership of DEA results

4.3. 综合评价处理

Table 6. Comprehensive evaluation matrix

Table 7. Comprehensive evaluation results

5. 结论

NOTES

*通讯作者。

[1] Richard, T. and Font, X. (2004) Tourism Supply Chains: Report of a Desk Research Project for the Travel Foundation. Leeds Metropolitan University, Environment Business & Development Group. http://icrtourism.com.au/wp-content/uploads/2012/09/TourismSupplyChains.pdf

[2] 黄猛, 舒伯阳. 以在线旅游服务商为核心的新型旅游供应链构建研究[J]. 湖北社会科学, 2015(4): 83-88.

[3] 段茜, 黄梦醒, 万兵, 杨雄. 云计算环境下基于马尔可夫链动态模糊评价的供应链伙伴选择研究[J]. 计算机应用研究, 2014, 31(8): 2403-2406.

[4] 林勇, 马士华. 供应链管理环境下供应商的综合评价选择研究[J]. 物流技术, 2000(5): 30-32.

[5] Ávila, P., Mota, A., Pires, A., Bastos, J., Putnik, G. and Teixeira, J. (2012) Supplier’s Selection Model Based on an Empirical Study. Procedia Technology, 5, 625-634.
https://doi.org/10.1016/j.protcy.2012.09.069

[6] 陈敬芝. 旅游供应链运作模式可靠性的评价指标体系构建研究[J]. 物流技术, 2013, 32(5): 71-72+98.

[7] 马庆功. 基于模糊最优化模型的供应商选择方法研究[J]. 计算机工程与应用, 2016, 52(24): 256-261.

[8] 柳顺, 杜树新. 基于数据包络分析的模糊综合评价方法[J]. 模糊系统与数学, 2010, 24(2): 93-99.

Top