Research on Cigarettes Customer Needs Importance Algorithm Based on KJ / RAHP / KANO

Xiong-Jun NI, Pei HE, Wen-Xi XU, Yue-Xiong GONG, Qiang ZHU, Wei-Zhong HUANG, Juan-Li WANG

Abstract


To express the ambiguity and uncertainty of customer needs importance, an algorithm was proposed. It integrated KJ method, rough analytic Hierarchy Process and KANO model. It calculated the customer needs importance in rough set. A case study of cigarettes customer needs importance illustrated the feasibility and validity of the algorithm.

Keywords


KJ, KANO, RAHP, QFD

Publication Date


2016-11-30 00:00:00


DOI
10.12783/dtetr/ssme-ist2016/3920

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