Name
Abstract | ||
|---|---|---|
Most of the present methods for multi-objective decision making can only deal with linearly ordered preference information. In this paper, we focus on investigating methods for multi-objective decision making when the preference information set includes incomparable natural language terms. A logical algebraic structure of lattice implication algebra is then applied to represent both comparable and incomparable information simultaneously. We present a model for multi-objective decision making in Which the preference information set is a kind of linguistic-valued lattice implication algebras. And we extend the model to deal with the multi-objective decision making when the preference information set is a generalized linguistic-valued lattice. In these cases, decision makers can supply lattice information on their preference and weights of the individual objectives. |
Year | DOI | Venue |
|---|---|---|
2008 | null | JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING |
Keywords | Field | DocType |
decision-making,multi-objective decision making,L-fuzzy set,lattice implication algebra,incomparable information | Discrete mathematics,Mathematical optimization,Computer science,Algebraic structure,Fuzzy logic,Theoretical computer science,Business decision mapping,Influence diagram,Weighted sum model,Decision field theory,Information set,Decision engineering | Journal |
Volume | Issue | ISSN |
14 | 3-5 | 1542-3980 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaobing Li | 1 | 47 | 2.76 |
| Da Ruan | 2 | 2008 | 112.05 |
| Jun Liu | 3 | 644 | 56.21 |
| Yang Xu | 4 | 711 | 83.57 |