DOI QR코드

DOI QR Code

Fuzzy Membership Functions and AHP-Based Negotiation Support in Electronic Commerce

퍼지 멤버십 함수와 AHP 추론기법을 이용한 전자상거래 협상지원

  • Published : 2002.08.01

Abstract

This paper propose the Fuzzy AHP(Analytic Hierarchical Process)-based negotiation support (FAHP-NEGO) mechanism to support the dynamic negotiation process in Electronic Commerce(EC). Negotiation is a form of decision-making with two or more actively involved agents who can not make decisions independently, and therefore must make concessions to achieve a compromise. Having concerned that point, the theoretical framework of FAHP-NEGO mechanism is presented by means of fuzzy membership functions and AHP. This mechanism encompasses both qualitative and quantitative conditions, and the use of multiple negotiation procedures for solving the electronic negotiation problem, adjusting the fuzzy membership function, and restructuring the problem representation. A hypothetical example of a healthcare products purchase is given to illustrate the quality of the proposed mechanism. The results showed that the Fuzzy AHP-based negotiation support mechanism could reflect both qualitative and quantitative conditions in EC. The implications of the study for future directions of research on electronic negotiation support modeling and systems are presented.

본 연구에서는 동적인 전자상거래 협상을 지원하기 위한 퍼지 AHP 기반의 협상지원 메커니즘 (Fuzzy AHP-based Negotiation support: FAHP-NEGO)을 제안한다. 협상은 단독으로 의사결정을 할 수 없는 둘 이상의 구성원간에 합의점을 도출하는 과정을 의미한다. 따라서, 여기에는 구성원 사이의 합의점을 도출하는 것이 매우 중요하다. 본 연구에서는, 이를 지원하기 위한 전자상거래 협상지원 메커니즘의 이론적인 배경으로서, 퍼지멤버십 함수와 AHP 기법을 사용하였다. 본 연구에서 제안한 협상지원 메커니즘은 정성적인 변수와 정량적인 변수를 모두 포함하고 있으며, 다중 협상과정을 통하여 전자상거래 협상을 지원한다. 건강보조식품 구매과정에 전사상거래 협상지원 메커니즘을 적용한 결과, 본 연구에서 제안한 전자상거래 협상지원 메커니즘이 정성적인 변수와 정량적인 변수를 반영한 전자상거래 협상을 지원할 수 있음을 보여주었다 본 연구의 후반부에는 향후 연구과제로서 전자상거래 협상지원 모형과 시스템 구축에 대해서 언급하였다.

Keywords

References

  1. Baron, J.P., Shaw, M.J., and Bailey, A.D., "Web-based E-catalog Systems in B2B Procument," Communimtions of the ACM, Vol.43, No.5, pp.93-100. 2000. https://doi.org/10.1145/332833.332845
  2. Bichler, M., "An Experimental Analysis of Multi-Attribute Auctions," Decision Support Systems, 29, pp.249-268, 2000. https://doi.org/10.1016/S0167-9236(00)00075-0
  3. Bryson, N. and Joseph, A, "Generating Consensus Priority Interval Vectors for Group Decision-Making in the AHP," Journal of Multi-Criteria Decision Analysis, 9, pp.127-137, 2000. https://doi.org/10.1002/1099-1360(200007)9:4<127::AID-MCDA261>3.0.CO;2-2
  4. Changfeng, C., Analysis of Mathematiml Modeling, Chinese Science Publishing House, Beijing, 1995.
  5. Chuang, P.T., "Combining the Analytic Hierarchy Process and Quality Function Deployment for a Location Decision from a Requirement Perspective," International Journal of Advanced Manufacturing Technology, 18, pp.842-849, 2001. https://doi.org/10.1007/s001700170010
  6. Davis, M., "Adaptive AHP: a Review of Marketing Applications with Extensions," European Journal of Marketing, Vol. 35, No. 2, pp.872-893, 2001. https://doi.org/10.1108/EUM0000000005729
  7. Ehtamo, H., Verkama, M., and Hamalainen, R.P., "How to Select Fair Improving Directions in a Negotiation Model over Continuous Issues," IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Vol.29, No.1, pp.26-33, February 1999. https://doi.org/10.1109/5326.740667
  8. Mitra, S. and Pal, S.K., "Logical Operation Based Fuzzy MLP for Classification and Rule Generation", Neural Networks, Vol. 7, No. 2, pp.353-373. 1994. https://doi.org/10.1016/0893-6080(94)90029-9
  9. Neuhold, E.J., "Business to Business Electronic Commerce at Work!", Proceedings of the 33rd Hawaii International Coriference on System Sciences, pp.1-10. 2000.
  10. O'Keefe, R.M. and Mceachern, T., "Web-based Customer Decision Support Systems," Communimtions of the ACM, Vol.41, No.3, pp.71-78. 1998. https://doi.org/10.1145/272287.272300
  11. Robbins, S.P., Organizational Behavior: Cencepts, controversises, Applications (8th ed), Prentice Hall, Englewood Cliffs, N.J., 1998.
  12. Saaty, T.L, The Analytic Hierarchy Process, New York: McGraw Hill, 1980.
  13. Schoner, B. and Wedley, W., "Ambiguous Criteria Weights in AHP: Consequences and Solutions," Decision Sciences, 20, pp.462-475, 1989. https://doi.org/10.1111/j.1540-5915.1989.tb01561.x
  14. Srivastava, J., Chakravarti, D., and Rapoport, A, "Price and Margin Megotiation in Marketing Channels: An Experimental Study of Sequential Bargaining Under One-sided Uncertainty and Opportunity Cost of Delay," Marketing Science, Vol. 19, No. 2, pp.163-184, Spring 2000. https://doi.org/10.1287/mksc.19.2.163.11806
  15. Van Den Honert, R.C., "Stochastic Pairwise Comparative Judgement and Direct Ratings of Alternatives in the REMBRANDT System," Journal of Multi-Criteria Decision Analysis, 7, pp.87-97, 1998. https://doi.org/10.1002/(SICI)1099-1360(199803)7:2<87::AID-MCDA175>3.0.CO;2-3
  16. Yu, C.S., Tzeng, G.H., and Li, H.L., "Application of Fuzzy Theory and Analytic Hierarchy Process to Evaluate Marketing Strategies," Proceedings of the 3rd AFSS, pp.352-357. 1998.
  17. 진현수, 이상훈, 송준호, 김성환, "계층분석 방법을 이용한 퍼지 교통신호 제어에 관한 연구" 한국 퍼지 및 지능시스템학희 논문지, 제10권, 2호, pp.83-93, 2000.
  18. 황승국, "AHP를 이용한 의식구조 분석법" 한국 퍼지 및 지능시스템학회 논문지, 제6권, 4호, pp.61-70, 1996.