Title :
Research on Customer After-sale Service Intelligent Decision-making Based on Component Reasoning Mechanism
Author_Institution :
Glorious Sun Bus. & Manage. Sch., Donghua Univ., Shanghai, China
Abstract :
In the paper, intelligent decision making technologies are adopted to improve the rationality and effect of customer after-sale service. For the low efficiency of single reasoning and insufficiency of service knowledge, a novel component knowledge reasoning mechanism for multi-solution decision problems is proposed, in which decision knowledge is represented as rule, model and case. The mechanism integrated several reasoning methods according to their characteristic. By three kinds of methods, single reasoning, integrated reasoning and concurrent reasoning, the mechanism can provide more feasible solutions and the best solution or satisfying solution can be obtained more easily.
Keywords :
customer services; decision making; inference mechanisms; sales management; component knowledge reasoning mechanism; customer after-sale service; intelligent decision making technologies; multisolution decision problems; Cognition; Decision making; Expert systems; Manufacturing; Marketing and sales; Sun; After-sale service; Component reasoning; Intelligent decision making; knowledge reasoning;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.1095