Name
Abstract | ||
|---|---|---|
There are many uncertain problems in practical life which need decision-making with soft sets and fuzzy soft sets. The purpose of this paper is to develop an approach to effectively solve the group decision-making problem based on fuzzy soft sets. Firstly, we present an adjustable approach to solve the decision-making problems based on fuzzy soft sets. Then, we introduce knowledge measure and divergence degree based on a-similarity relation to determine the experts' weights. Further, we develop an effective group decision-making approach with unknown experts' weights. Finally, sensitivity analysis about the parameters and comparison analysis with other existing methods are given. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1155/2018/2501489 | COMPLEXITY |
Field | DocType | Volume |
Similarity relation,Artificial intelligence,Fuzzy soft set,Mathematics,Machine learning,Group decision-making | Journal | 2018 |
ISSN | Citations | PageRank |
1076-2787 | 2 | 0.36 |
References | Authors | |
19 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinrong Feng | 1 | 9 | 1.44 |
| Xiao Guo | 2 | 7 | 3.88 |