Name
Title | ||
|---|---|---|
A novel multicriteria group decision making approach with intuitionistic fuzzy sir method |
Abstract | ||
|---|---|---|
The superiority and inferiority ranking (SIR) method is a generation of the well-known PROMETHEE method, which can be more efficient to deal with multi-criterion decision making (MCDM) problem. Intuitionistic fuzzy sets (IFSs), as an important extension of fuzzy sets (IFs), include both membership functions and non-membership functions and can be used to, more precisely describe uncertain information. In real world, decision situations are usually under uncertain environment and involve multiple individuals who have their own points of view on handing of decision problems. In order to solve uncertainty group MCDM problem, we propose a novel intuitionistic fuzzy SIR method in this paper. This approach uses intuitionistic fuzzy aggregation operators and SIR ranking methods to handle uncertain information; integrate individual opinions into group opinions; make decisions on multiple-criterion; and finally structure a specific decision map. The proposed approach is illustrated in a simulation of group decision making problem related to supply chain management. |
Year | Venue | Keywords |
|---|---|---|
2011 | World Automation Congress | intuitionistic fuzzy set,fuzzy set theory,sir method,supply chain management,intuitionistic fuzzy aggregation operator,promethee method,superiority and inferiority ranking method,intuitionistic fuzzy sir method,group mcdm,multicriteria group decision making,operations research,ifs,mcdm problem,intuitionistic fuzzy sets,decision problem,artificial intelligent,group decision making,membership function,information integration,fuzzy set |
Field | DocType | Volume |
Data mining,Decision problem,Multiple-criteria decision analysis,Ranking,Computer science,Fuzzy logic,Fuzzy set,Supply chain management,Operator (computer programming),Artificial intelligence,Machine learning,Group decision-making | Journal | abs/1107.1020 |
ISSN | ISBN | Citations |
2154-4824 E-ISBN : 978-1-889335-42-1 | 978-1-889335-42-1 | 4 |
PageRank | References | Authors |
0.47 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junyi Chai | 1 | 213 | 12.09 |
| James N. K. Liu | 2 | 529 | 44.35 |