Paper Title:
Acquisition and Analysis for Customer Requirement Information
  Abstract

This paper summarized the popular methods for acquiring customer requirement (CR) information, where the internet-based method is especially efficient when an enterprise's web possesses the function of real-time communication, guiding investigation and online experience. However, current classification and analysis of CR mainly depends on a subjective judgment, awareness and assessment of the enterprise's staff, which exists with human errors. From the point of view of CR information, the authors classified it into certain information and uncertain information; there are two types of uncertain information----the random and the fuzzy. Based on this classification, CR information can be analyzed by means of probability theory and fuzzy logic. Therefore, the enterprise will acquire CR information more effectively and analyze it more accurately.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
1468-1471
DOI
10.4028/www.scientific.net/AMR.139-141.1468
Citation
Z. Xiao, Q. Liu, Q. S. Ai, "Acquisition and Analysis for Customer Requirement Information", Advanced Materials Research, Vols. 139-141, pp. 1468-1471, 2010
Online since
October 2010
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Price
$32.00
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