An intuitionistic fuzzy projection-based approach and application to software quality evaluation

Abstract

Projection is a very important measure in decision science. However, this research finds that the existing projection measures are not always reasonable in intuitionistic fuzzy settings. To solve this problem, this work provides a new normalized projection measure. And this work establishes a new group decision-making model based on new normalized projection measure and TOPSIS (technique for order preference by similarity to ideal solution) technique. This paper also introduces a practical application to the software quality evaluation. An experimental analysis shows the practicability, feasibility and validity of method introduced in this paper. In a word, this article contributes to knowledge domain a new decision-making technique and tool.