Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s00500-019-03923-6 | Soft Computing |
Keywords | Field | DocType |
Normalized projection measure, Group decision-making, Intuitionistic fuzzy vector, Interval-valued intuitionistic fuzzy vector, Software quality evaluation | Normalization (statistics),Computer science,Fuzzy logic,Ideal solution,Artificial intelligence,Decision theory,TOPSIS,Software quality,Machine learning,Group decision-making | Journal |
Volume | Issue | ISSN |
24 | 1 | 1433-7479 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
1 | ||