Name
Abstract | ||
|---|---|---|
The uncovered set was developed in order to predict outcomes when spatial models result in an empty core. In contrast to conventional approaches, fuzzy spatial models induce a substantial degree of individual and collective indifference over alternatives. Hence, existing definitions of the covering relationship return differing results. We develop a definition for a fuzzy covering relation. Our definition results in an uncovered set that is, in most cases, contained within the Pareto set. We conclude by characterizing the exceptions. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.fss.2010.10.016 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
uncovered set,empty core,spatial models result,collective indifference,relationship return,substantial degree,fuzzy spatial model,social sciences,cycling,fuzzy preferences,conventional approach,pareto set,definition result,fuzzy set approach,spatial models,fuzzy set,social science | Data mining,Information processing,Covering relation,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy control system,Pareto principle,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
168 | 1 | Fuzzy Sets and Systems |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| John N. Mordeson | 1 | 302 | 57.25 |
| Terry D. Clark | 2 | 0 | 0.68 |
| Nicholas R. Miller | 3 | 0 | 0.34 |
| Peter C. Casey | 4 | 0 | 0.34 |
| Michael B. Gibilisco | 5 | 0 | 0.34 |