Fuzzy heterogeneous multiattribute decision making method for outsourcing provider selection
Fuzzy heterogeneous multiattribute decision making method for outsourcing provider selection
复制标题
外包商选择的模糊异构多属性决策方法
DOI：
10.1016/j.eswa.2013.10.036
复制
发表时间：
2014-05-01
影响因子：
8.5
通讯作者：
Wan, Shu-Ping
中科院分区：
文献类型：
--
作者：
Li, Deng-Feng;Wan, Shu-Ping
外包成功的关键活动之一是外包提供商的选择，这可以被视为一种具有模糊真实度和不完整权重信息的模糊异构多属性决策（MADM）问题。本文的目的是开发一种新的模糊线性规划方法来解决此类 MADM 问题。在该方法中，决策者的偏好是通过两两选择与模糊真实度的比较给出的，模糊真实度用梯形模糊数（TrFN）表示。实数、区间和 TrFN 用于表达异构决策信息。给出模糊正理想解和负理想解，基于相对紧密度的概念定义TrFN型模糊一致性和不一致性指标。通过构建新的模糊线性规划模型来估计属性权重，并使用已开发的带有 TrFN 的模糊线性规划方法来求解。可以计算备选方案的相对紧密度来生成它们的排名顺序。以IT外包提供商选择问题为例，论证了本文提出的方法的实施过程和适用性。 (C) 2013 Elsevier Ltd. 保留所有权利。
One of the critical activities for outsourcing success is outsourcing provider selection, which may be regarded as a type of fuzzy heterogeneous multiattribute decision making (MADM) problems with fuzzy truth degrees and incomplete weight information. The aim of this paper is to develop a new fuzzy linear programming method for solving such MADM problems. In this method, the decision maker's preferences are given through pair-wise alternatives' comparisons with fuzzy truth degrees, which are expressed with trapezoidal fuzzy numbers (TrFNs). Real numbers, intervals, and TrFNs are used to express heterogeneous decision information. Giving the fuzzy positive and negative ideal solutions, we define TrFN-type fuzzy consistency and inconsistency indices based on the concept of the relative closeness degrees. The attribute weights are estimated through constructing a new fuzzy linear programming model, which is solved by using the developed fuzzy linear programming method with TrFNs. The relative closeness degrees of alternatives can be calculated to generate their ranking order. An example of the IT outsourcing provider selection problem is analyzed to demonstrate the implementation process and applicability of the method proposed in this paper. (C) 2013 Elsevier Ltd. All rights reserved.