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

Autor: Ni Xiong-Jun, He Pei, Xu Wen-Xi, Gong Yue-Xiong, Zhu Qiang, Huang Wei-Zhong, Wang Juan-Li
Jazyk: English<br />French
Rok vydání: 2017
Předmět:
Zdroj: MATEC Web of Conferences, Vol 139, p 00148 (2017)
Druh dokumentu: article
ISSN: 2261-236X
20171390
DOI: 10.1051/matecconf/201713900148
Popis: 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.
Databáze: Directory of Open Access Journals