Optimization on Logistics Capability in Cluster Supply Chain Based on Fuzzy Logic and AHP

被引：0
|
作者：
Li, Jizi [1 ]
Liu, Chunling [1 ]
Guo, Peiling [1 ]
机构：
[1] Wuhan Univ Sci & Engn, Sch Econ & Management, Wuhan, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/FSKD.2008.319
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A multistage index system of logistics capability was made to optimize the logistics capability in cluster supply chain (CSC), in which, a multistage fuzzy analytical model was applied on the basis of the fuzzy mathematics and hierarchy process analytical methods. The composing process of logistics capability index was discussed and illustrated in details via proposed model. The fuzzy evaluation of CSC's logistics capability with a comparison to benchmark of logistics capability can identify the advantage and disadvantage of logistics capability, which lead to the optimization of CSC's logistics capability.
引用
收藏
页码：409 / 413
页数：5
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