期刊文献+

基于BPNN-GA算法的双边多属性谈判求解 被引量:3

Computation of Bilateral Multi-Attribute Negotiations Based on BPNN-GA Algorithm
下载PDF
导出
摘要 通过对现有网上谈判模型研究发现,原有求解方法因多采用线性效用函数假设而存在自身无法克服的局限性。提出了基于BPNN-GA算法的双边多属性谈判求解方法。为求解属性间具有复杂函数依赖关系、效用函数难以显式表达,以及具有非线性效用函数映射关系的双边多属性谈判提供了一种有效的求解方法。最后通过谈判实例验证了该方法的有效性。 Through the study of on-line negotiation model,it was found that the original solving method had its own limitations due to the assumption of linear utility function.This paper proposed solution method of bilateral multi-attribute negotiations based on BPNN-GA algorithm.It is an effective solution method for bilateral multi-attribute negotiations with the complex function of inter-dependencies among the attributes,and a non-linear mapping which is difficult to express explicitly in the utility function.Finally the effectiveness and superiority of the method was demonstrated by an example.
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2011年第2期320-324,共5页 Journal of Wuhan University of Technology:Information & Management Engineering
基金 国家自然科学基金资助项目(70872010) 中央高校基本科研业务费专项基金资助项目(FRF-BR-09-011A) 黑龙江省自然科学基金资助项目(G201021)
关键词 双边多属性谈判 BP神经网络 遗传算法 多属性依赖 bilateral multi-attribute negotiations BP neural network GA multi-attribute dependence
  • 相关文献

参考文献12

  • 1JENNINGS N R,FARATIN P,LOMUSCIO A R,et al.Automated negotiation:prospects methods and challenges [ J ]. International Journal of Group Decision and Negotiation,2001,10 (2) : 199 - 215.
  • 2RAHWAN I, KOWALCZYK R, PHAM H H. Intelligent agents for automated one - to - many e - commerce negotiation [ C ]//Twenty - Fifth Australian Computer Science Conference. Melbourne : [ s. n. ] , 2002 : 197 - 204.
  • 3CHE Y K. Design competition through multidimensional auctions [ J ]. RAND Journal of Economics, 1993,24 (4) :668 -680.
  • 4MARTIN B. An experimental analysis of multi - attribute auctions [ J ]. Decision Support Systems, 2000,29 (3) :249 -268.
  • 5FARATIN P,SIERRA C,JENNINGS N R. Using simi- larity criteria to make negotiation trade - offs in automated negotiations [ J ]. Artificial Intelligence, 2002, 142(2) :205 -237.
  • 6TEICH J E, WALLENIUS H, WALLENIUS J. Advances in negotiation science [ J ]. Transactions in Operational Research, 1994(6) :55 - 94.
  • 7LIK W, HIPELK W, KILGOUR D M, et al. Preference uncertainty in the graph model for conflict resolution [ J ]. IEEE Transaction Systems, Man and Cybernetics, 2004.34(4):507 -520.
  • 8孙华梅,李一军,曹荣增,黄梯云.基于约束放松的电子商务协同谈判模型[J].运筹与管理,2008,17(4):132-137. 被引量:3
  • 9李玥,冯玉强,王衍华,李一军.遗传算法在网上谈判支持系统中的应用研究[J].系统工程理论与实践,2002,22(6):87-92. 被引量:16
  • 10董婷婷,冯玉强.基于辩论的谈判解支持研究[J].预测,2009,28(2):76-80. 被引量:4

二级参考文献34

  • 1徐旭初,张道武,崔浩.合作联盟资源集成计划一种新方法[J].运筹与管理,2004,13(3):71-75. 被引量:2
  • 2周春光,周国芹,梁艳春.遗传算法中的重组操作[J].吉林大学自然科学学报,1996(1):21-24. 被引量:6
  • 3席裕庚,柴天佑,恽为民.遗传算法综述[J].控制理论与应用,1996,13(6):697-708. 被引量:347
  • 4伍京华,蒋国瑞,黄梯云.基于辩论的社会性Agent间的谈判模型[J].计算机工程与应用,2007,43(12):23-25. 被引量:2
  • 5丁伟.面向电子商务的谈判支持系统研究[M].哈尔滨:哈尔滨工业大学,2001..
  • 6Foroughi A. Minimizing negoliation process losses with computerized negotiation support systems [J]. The Journal of Applied Business Research, 1998, 14(4) : 15-26.
  • 7Carmel E, Herniter B C, Nunamaker J F. Labor-managemerit eontraet negotiations ill all electronic meeting room: a ease study [J]. Group Decision and Negotiation. 1993, 2(1): 27-60.
  • 8Delaney M M, Foroughi A, Perkins W C. An empirical study of the efficacy of a computerized negotiation support system (NSS)[J]. Decision Support Systems, 1997, 20 (3) : 185-19"7.
  • 9Croson R T A. Look at me when you say that: an electronic negotiation simulation[J]. Simulation & Gaming, 1999, 30(1): 23-37.
  • 10Barry B. Adopting automated negotiation[J]. Technology In Society, 1999, 21 : 167-174.

共引文献20

同被引文献27

引证文献3

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部