Name
Title | ||
|---|---|---|
An interval-valued intuitionistic fuzzy projection-based approach and application to evaluating knowledge transfer effectiveness |
Abstract | ||
|---|---|---|
Projection measure is one of the most important tools for group decision-making (GDM) problems. However, this research finds that the existing projection measure is not always reasonable in interval-valued intuitionistic fuzzy setting. To solve this problem, this research intends to (1) propose a new normalized projection measure in interval-valued intuitionistic fuzzy setting; (2) develop a GDM model based on the new projection measure; and (3) apply the developed model to evaluating knowledge transfer effectiveness for software development team. The feasibility and practicability developed method in this work are illustrated by an experimental analysis. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s00521-018-3571-5 | Neural Computing and Applications |
Keywords | Field | DocType |
Normalized projection, Group decision-making, Interval-valued intuitionistic fuzzy number, Knowledge transfer effectiveness | Normalization (statistics),Fuzzy logic,Knowledge transfer,Artificial intelligence,Team software process,Mathematics,Machine learning,Group decision-making | Journal |
Volume | Issue | ISSN |
31.0 | 11 | 1433-3058 |
Citations | PageRank | References |
1 | 0.35 | 37 |
Authors | ||
1 | ||