Acquisition and Analysis for Customer Requirement Information

Zheng Xiao; Quan Liu; Qing Song Ai

doi:10.4028/www.scientific.net/AMR.139-141.1468

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Determining Structural Modes of HSK Tool System Based on FEM and EMA
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An Apriori-Based Knowledge Mining Method for Product Configuration Design
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 139-141Acquisition and Analysis for Customer Requirement...

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.