A 3-ways Validity Index of Different IPA Set of Quantified Kano Models

Abstract

In this paper, we composite the three kinds of performances including the general, the must-be and the attractive demands as a total performance of each attribute and estimating the importance degree of each attribute by weighting of regression. Furthermore, we propose an improved validity index to compare the total accomplishments of the different decided IPAs or kano models, this new index is a three-way method including not only which quadrant of each attribute is belong to and how closed the distance between the attribute and the secondary diagonal line, but also how closed the distance between the attribute and the origin of the coordinates, it is more sensitive and useful than the Liu's 2-ways validity index.