Research on the Consumer Demand of Decision Making in the E-Commence System Building Process

Article Preview

Abstract:

In the process of developing e-commerce system, enterprises are able to accurately understand and grasp the needs of the user enterprise that is the key to the successful implementation of e-commerce. Based on this, the article proposed a new method which was based on the process of developing consumer demand for e-business decision-making though a rough set theory. This new approach is built using rough set decision model to calculate the different needs of the impact on consumer satisfaction, come to an important degree of each demand and the demand reduction order. This method overcomes the traditional rough set method cumbersome bottlenecks, and helps operating; cases studies show that the proposed method is simple and effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2895-2898

Citation:

Online since:

July 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Satty T.L. The Analytical Hierarchy Process[M].NewYork: McGraw-Hill,1980.

Google Scholar

[2] Pawlak Z.: Rough set[J]. International Journal of Computer and Information Sciences,l982(11):341~356

Google Scholar

[3] Armacost R L. AHP framework for prioritizing customer requirements in QFD: An industrialized housing application [J]. IIE Transaction, 1994, 26(4): 72~79

DOI: 10.1080/07408179408966620

Google Scholar

[4] YANG Qingxian. Construction of Value Models of Consumer Creation for Agricultural Products Based on the Analytic Hierarchy Process (AHP)[J]. Agricultural Science&Technology,2010,11(4):180~183

Google Scholar

[5] L Zadeh. Fuzzy Sets [J].Information and Control,1965(8):338~353.

Google Scholar

[6] Ertay T, Kahraman C.Evaluation of design requirements using fuzzy outranking methods[J].International Journal of Intelligent Systems,2007,22(12): 1229~1250.

DOI: 10.1002/int.7001

Google Scholar