Normalization of attribute values with interval information in group decision-making setting: with an application to software quality evaluation

ABSTRACT

Normalization of attribute values is an important preprocessing step in decision analysis. However, this research finds that the existing normalization methods are not always reasonable in group decision-making (GDM) setting. To solve this problem, this work develops some modifications of normalization methods of attribute values with interval information under GDM environment. The main idea is to extend the bound related to single attribute vector to a unified bound related to some attribute vectors, whose values are graded in the same measure system. A GDM algorithm is provided to illustrate the applicability of new normalization methods, in which a new normalized projection is used for separation measures. An experimental analysis is provided to illustrate the feasibility and effectiveness introduced normalization methods in this paper.

KEYWORDS:

• Normalization
• group decision-making
• interval data

Disclosure statement

No potential conflict of interest was reported by the author.