Acquisition and Analysis for Customer Requirement Information

Abstract:

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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 et al., "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:

$35.00

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