Fuzzy heterogeneous multiattribute decision making method for outsourcing provider selection |
| |
| Affiliation: | 1. School of Management, Fuzhou University, Fuzhou, Fujian 350108, China;2. College of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330013, China;1. Department of Industrial Engineering, Seoul National University, 1 Gwanakro, Gwanakgu, 151-744, Seoul, Republic of Korea;2. Samsung Electronics Co. Ltd., 416 Maetan-dong, Yeongtong-gu, Suwon, Gyeonggi-do, Republic of Korea;1. The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo 113-8656, Japan;2. Lancers Inc., 3-10-13 Shibuya Shibuya-ku, Tokyo 150-0002, Japan;1. College of Computer Science and Technology, Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education, Jilin University, 130012 Changchun, China;2. College of Computer Science and Engineering, Changchun University of Technology, 130012 Changchun, China;1. Biomedical Knowledge Engineering Laboratory, Seoul National University, Republic of Korea;2. Dental Research Institute, Seoul National University, Republic of Korea;3. Institute of Human-Environment Interface Biology, Seoul National University, Republic of Korea;1. Department of Computer Science and Engineering, University of Dhaka, Bangladesh;2. Department of Computer Engineering, Kyung Hee University, South Korea |
| |
| Abstract: | 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. |
| |
| Keywords: | Outsourcing provider Multiattribute decision making Fuzzy set Fuzzy linear programming Supply chain management |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
