Models for software quality evaluation with fuzzy number intuitionistic fuzzy information

Software is omnipresent in our daily lives. Delivering quality software on schedule and in budget has become the challenge for most companies. As software size and complexity are increasing at a geometric rate, assuring software quality is becoming more difficult. Thus, how to control and manage software quality has attracted more and more attentions. In this paper, we investigate the multiple attribute decision making problems with fuzzy number intuitionistic fuzzy information. We first introduce some operations on the fuzzy number intuitionistic fuzzy sets. Then, we further develop the fuzzy number intuitionistic fuzzy Hamacher power weighted average (FNIFHPWA) operator. Then, we apply the fuzzy number intuitionistic fuzzy Hamacher power weighted average (FNIFHPWA) operator to deal with multiple attribute decision making under the fuzzy number intuitionistic fuzzy environments. Finally, an illustrative example for evaluating the software quality is given to verify the developed approach.