基于TOPSIS算法的双边多议题智能协商

工业工程 ›› 2012, Vol. 15 ›› Issue (3): 52-56.

基于TOPSIS算法的双边多议题智能协商

东南大学管理工程研究所，江苏南京 211189

出版日期:2012-06-30 发布日期:2012-07-21
作者简介:库洪锋（1986-），男，湖北省人，硕士研究生，主要研究方向为智能商务、管理工程.
基金资助:
教育部人文社会科学研究规划基金资助项目（09YJA630022）

A Research on Bilateral Multi-Issue Intelligent Negotiation Based on TOPSIS Algorithm

Institute of Management Engineering, Southeast University, Nanjing 211189, China

Online:2012-06-30 Published:2012-07-21

摘要/Abstract

摘要： 由于协商信息的不完备性以及为了协商双方的联合效用最大，提出了一种基于TOPSIS算法的双边多议题智能协商模型。在协商过程中依据一定的规则进行妥协让步。在保证自身效用的前提下，利用TOPSIS算法搜索出最优的提议发送给对方，从而最大化双方效用。通过算例模拟了该方法并比较了在完备信息与不完备信息两种情形下联合效用的差距，据此验证本方法的有效性。

关键词: 电子商务, 双边多议题, 智能协商, TOPSIS算法

Abstract: The negotiation problem of bilateral multiissues with incomplete information is addressed in this paper. Aiming at the maximization of joint utility of the two sides, based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method, an intelligent negotiation model is developed for the problem. By this model, in the process of negotiation, one side can make compromise according to certain rules. With this model, by using TOPSIS method, one side finds best solution for the other side, while it ensuring the utility for itself. Thus, the utility of both sides is maximized. An example is used to validate the proposed method. This is done by numerical simulation to check the gap of the joint utility under complete and incomplete information environment.

Key words: electronic commerce, bilateral multiissue, intelligent negotiation, TOPSIS algorithm

库洪锋，吴清烈. 基于TOPSIS算法的双边多议题智能协商[J]. 工业工程, 2012, 15(3): 52-56.

Ku Hongfeng, Wu Qinglie. A Research on Bilateral Multi-Issue Intelligent Negotiation Based on TOPSIS Algorithm[J]. Industrial Engineering Journal , 2012, 15(3): 52-56.

参考文献

［1］曾子明,余小鹏.电子商务推荐系统与智能谈判技术［M］.武汉:武汉大学出版社,2008:16. ［2］Jennings N R, Faratin P, Lomuscio L, et al. Automated negotiation: prospects, methods and challenges［J］. International Journal of Group Decision and Negotiation, 2001,10(2):199. ［3］Raiffa H. The art and science of negotiation［M］. Cambridge: Harvard University Press, 1982. ［4］张辰彦,刘仲英.基于卖方多提议的双边多属性自动协商模型［J］.同济大学学报:自然科学版, 2009, 37(6):832-837. Zhang Chenyan, Liu Zhongying. Bilateral and multi-issue autonomous negotiation model based on sellers’multi-proposal［J］. Journal of Tongji University, 2009,37（6）:832-837. ［5］Oliver J R. On automated negotiation and electronic commerce［D］. USA:University of Pennsylvania, 1997. ［6］Matos N, Sierra C, Jennings N R. Determining successful negotiation strategies: an evolutionary approach［C］∥Proceedings of the 3rd International Conference on Multi-Agent Systems. Paris, France:IEEE Computer Society, 1998: 182-189. ［7］Oliver J R. A machine learning approach to automated negotiation and prospects for electronic commerce［J］. Journal of Management Information Systems,1997,13(3):83-112. ［8］Gerding E, Bragt D V. Multiissue negotiation processes by evolutionary simulation: validation and social extensions［J］. Computational Economics, 2003,22(1):39-63. ［9］Zeng Dajun, Katia Sycara. Benefits of learning in negotiation［C］Proceedings of the 14thNational Conference on Artificial Intelligence and 9th Innovative Application of Artificial Intelligence Conference (AAAI-97/IAAI-97).Menlo Park,CA:AAAI Press,1997:36-42. ［10］Luo X, Jennings N R, Shadbolt N,et al.A fuzzy constraint based model for bilateral multiissue negotiations in semi-competitive environments［J］. Artificial Intelligence Journal,2003,148(1-2):53. ［11］Luo X, Jennings N R, Shadbolt N. Acquiring user tradeoffs and preferences for negotiating agents: a default then adjust method［J］. International Journal of Human Computer Studies, 2006,64(4): 304-321. ［12］You Tianhui, Fan Zhiping. TOPSIS method for multiple attribute decision making with intervals［J］. Journal of Northeast University,2002,23(9):840-843. ［13］Chu Tachung. Facility location selection using fuzzy TOPSIS under group decisions［J］. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems,2002,10(6):687-701. ［14］刘丽娜,陈强.基于距离综合评估法的城镇居民生活质量评估［J］.上海管理科学,2009,31(1):87-89. Liu Lina,Chen Qiang.Evaluation on living quality of urban resident based on TOPSIS method［J］. Shanghai Management Science, 2009, 31(1): 87-89. ［15］李剑,牛少彰.学习机制在电子商务中的应用［J］.北京邮电大学学报,2009,32(3):1-4. Li Jian, Niu Shao-zhang. Learning mechanism and its application in e-commerce［J］.Journal of Beijing University of Posts and Telecommunications,2009,32(3):1-4. ［16］韩伟.基于模糊相似关系的自动协商系统［J］.计算机工程,2008,34(3):234-236. Han Wei. Automatic negotiation system based on fuzzy similarity function［J］.Computer Engineering,2008,34(3):234-236.

[1]	杨殿玲, 王炬香. 电子商务环境下制造商双渠道运营模式选择研究[J]. 工业工程, 2020, 23(1): 44-52.
[2]	尹丽娟, 袁丽娜, 刘紫玉. 消费者个体特征及物流服务感知对网购平台选择的影响研究[J]. 工业工程, 2018, 21(3): 49-58.
[3]	刘玲, 陈淮莉. 基于双渠道联合库存策略的生鲜品产销[J]. 工业工程, 2015, 18(4): 92-98.
[4]	谢天保1，张晓雯1，仵凯博2，胡丹1. 电子商务下基于协同配送的配送中心选址研究[J]. 工业工程, 2015, 18(3): 75-81.
[5]	谢兆霞1，李莉2，杨文胜2. 多寡头序贯进入下的B2B电子商务网站IT投资决策[J]. 工业工程, 2012, 15(6): 108-113.
[6]	申成霖1，张新鑫2. 电子商务环境下无缺陷退货政策[J]. 工业工程, 2011, 14(3): 55-59.