Abstract | ||
---|---|---|
A fuzzy AHP model is proposed in this paper for the selection of software. Since the priorities of selection criteria obtained by traditional fuzzy AHP are dependent, in stead of normalizing priorities and aggregating the performance of software by simple weighted average, in this paper we propose a nonadditive aggregation method based on fuzzy integral to aggregate the performance of software. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/FSKD.2007.36 | FSKD (3) |
Keywords | Field | DocType |
fuzzy set theory,fuzzy ahp model,traditional fuzzy ahp,simple weighted average,software selection,normalizing priority,software performance evaluation,fuzzy integral,selecting software,software performance,software selection criteria,nonadditive aggregation method,fuzzy model,selection criterion,analytic hierarchy process | Data mining,Fuzzy model,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy set,Software performance testing,Software,Artificial intelligence,Analytic hierarchy process,Machine learning | Conference |
Volume | ISBN | Citations |
3 | 978-0-7695-2874-8 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsuan-shih Lee | 1 | 535 | 36.35 |
Min-Hua Wang | 2 | 0 | 0.34 |