A fuzzy AHP approach for evaluating new product projects in mobile commerce

2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009

Volumn 1, Issue , 2009, Pages 460-464

  Chen, Shouming ^a   Zheng, Hongliang ^a  

^a TONGJI UNIVERSITY   (China)

Author keywords

Evaluation; Fuzzy AHP; Mobile commerce; New product

Indexed keywords

EVALUATION MODELS; FUZZY AHP; FUZZY ANALYTICAL HIERARCHY PROCESS; MOBILE COMMERCE; MOBILE COMMERCE APPLICATIONS; NEW PRODUCT; SELECTION PROCESS; TRIANGULAR FUZZY NUMBERS;

ARTIFICIAL INTELLIGENCE; COMMERCE; FUZZY SETS; HIERARCHICAL SYSTEMS; SEMICONDUCTOR COUNTERS;

MOBILE TELECOMMUNICATION SYSTEMS;

EID: 77749294930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICI.2009.179     Document Type: Conference Paper

References (17)

1. Huang, W., Wang, R., Shi, N., Wang, D., Literature Review of Mobile Commerce, Application Research of Computer, 2006.
2. Wang, R. Theory and Practice of Mobile Commerce, Tsinghua University Press, Beijing, 2007.
3. Saaty, T. L., The Analytic Hierarchy Process, McGraw-Hill, New York, 1981.
4. Tabucanon, M.T., batanov, D.N., & Verma, D.K., Intelligent support system (DDS) for the selection process of alternative machines for flexible manufacture systems. Computers in Industry, 1994, 25, pp.131-134
5. Ayag, Z., An integrated approach to evaluating conceptual design alternatives in a new product development environment. International Journal of Production Research, 2005, 40, pp.3053-3073
6. Kuo, R.J., Chi, S.C., & Kao, S.S., A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network. Computers in Industry, 2002, 47, pp.199-214
7. Weck, M., Klocke, F., Schell, H., & Ruenauver, E. Evaluating alternative production cycles using the extended fuzzy AHP method. European Journal of Operational Research,1997, 100, pp.351-366
8. Davis, F. D., A Technology Acceptance Model for Empirically Testing New End-user Information Systems: Theory and Results, MIT Sloan School of Management, MA, 1986
9. Szajna, B., Empirical evaluation of the revised technology acceptance model, Management Science, 42 (1), 1996, pp.85-92
10. Davis, F.D., Bagozzi, R.P. and Warshaw, PR. User Acceptance of Computer Technology: A comparison of Two Theoretical Model, Management Science, 1989, (8), pp.982-1003
11. Wen, H. J., Consumer-based m-commerce: exploring consumer perception of mobile applications. Computer Standards & Interfaces, 2005, 27(4)
12. Zhou, T. User's Acceptance of Mobile Commerce Based on Perceived Value. Journal of Hang Zhou Dianzi Uiversity (Social Science), 2007 .
13. Ling, H. Xia, L., & Zeng, F. Research on the Acceptance Model of Content Deliver mode Mobile Commerce, Shanghai Management Science, 2008 .
14. Saaty, T. L., Decision Making, Scaling, and number crunching, Decision Science, 1989, 20, pp.404-409
15. Chang D-Y, Application of the extend analysis method on fuzzy AHP. Eur J Oper Res, 1996, 95 (3): pp.649-655.
16. Kaufmann, A., Introduction to fuzzy arithmetic theory and application, Van Nostrand, New York,1991.
17. Fei, J., Tang, J., & Zhang, X., A Model of Audit Inherent Risk Assessment Based on Fuzzy-AHP, Computer Science, 2004.