DocumentCode :
619975
Title :
Research on auto-negotiation model for multi-issues coal negotiation based on FQSIM
Author :
Gao Taiguang ; Huang Min ; Qian Xiaohu
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2013
fDate :
25-27 May 2013
Firstpage :
1698
Lastpage :
1702
Abstract :
With the relations between coal supply and demand increasingly strained, coal negotiation has become the first choice for resolving contradictions and conflicts between the coal enterprises and the coal-fired power plants. The problem of how to improve the negotiation efficiency and promote the cooperation agreement between coal supply and demand has widely attracted many scholars´ attention. In order to simplify the negotiation process by avoiding establishing complex quantitative analysis and results mapping model, this paper constructs the auto-negotiation model between the coal enterprises and the coal-fired power plants based on Fuzzy Qualitative SIMulation (FQSIM), which focuses on the critical state branch point of negotiation situation and the prediction of negotiation process and trend. The example of simulation process and results show that the reasoning process of our model is accordant with the reality of coal negotiations, which can offer guidance to support negotiation among decision makers and greatly improve the efficiency and successful rate of negotiations.
Keywords :
coal; decision making; fuzzy set theory; mining industry; organisational aspects; power plants; prediction theory; supply and demand; FQSIM; auto-negotiation model; coal enterprise conflict; coal enterprise contradiction; coal supply and demand; coal-fired power plant; cooperation agreement; critical state branch point; decision making; fuzzy qualitative simulation; multiissues coal negotiation; negotiation efficiency; negotiation process prediction; negotiation situation; negotiation trend prediction; reasoning process; simulation process; Coal; Cognition; Computational modeling; Contracts; Educational institutions; Electricity; Filtering; FQSIM; auto-negotiation; coal negotiation; qualitative reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
Type :
conf
DOI :
10.1109/CCDC.2013.6561204
Filename :
6561204
Link To Document :
بازگشت