MATEC Web of Conferences (Jan 2017)

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

  • Ni Xiong-Jun,
  • He Pei,
  • Xu Wen-Xi,
  • Gong Yue-Xiong,
  • Zhu Qiang,
  • Huang Wei-Zhong,
  • Wang Juan-Li

DOI
https://doi.org/10.1051/matecconf/201713900148
Journal volume & issue
Vol. 139
p. 00148

Abstract

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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.