Paper Title:
Research on the Consumer Demand of Decision Making in the E-Commence System Building Process
  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.

  Info
Periodical
Chapter
Chapter 5: Frontiers of Environment Engineering and Materials
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
2895-2898
DOI
10.4028/www.scientific.net/AMM.71-78.2895
Citation
J. M. Xie, Q. Qin, "Research on the Consumer Demand of Decision Making in the E-Commence System Building Process", Applied Mechanics and Materials, Vols. 71-78, pp. 2895-2898, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wen Hao Shu, Zhang Yan Xu, Shen Ruan
Abstract:At present, some scholars have provided the attribution reduction algorithms of incomplete decision table. The time complexity of many...
154
Authors: Chang Sheng Zhang
Abstract:Firstly, the concept of simplified information system is introduced, the notion of simplified discerniblity matrix is put forward and the...
931
Authors: Shao Pu Zhang, Tao Feng
Chapter 6: Algorithm Design
Abstract:This paper discusses the reduction algorithms of an incomplete covering decision system. Firstly, we give the definition of a new pair of...
1409
Authors: Ye Li, Bing Lu
Chapter 7: Information Engineering and Technology
Abstract:Aiming at improving the disvantage of single attribute analysis in rough set, the problem of combined attributes analysis is researched in...
1404
Authors: Qiu Na Zhang, Ai Min Yang, Na Ji, Wen Jing Zhao
Chapter 4: Information Technology Applications in Industry and Engineering
Abstract:This paper presents a new reduction algorithm of granularity - reduction algorithm of granularity of Property resolution. This result has...
2565