Name
Abstract | ||
|---|---|---|
Recently, it has been shown that interval type-2 fuzzy sets (IT2FSs) are more general than interval-valued fuzzy sets (IVFSs), and some of these IT2FSs can actually be non-convex. Although these IT2FSs could be considered within the general type-2 fuzzy sets' (GT2FSs) scope, this latter have always been studied and developed under certain conditions considering the convexity and normality of their secondary grades. In recent works the operations of intersection and union for GT2FSs have been extended to include non-convex secondary grades. Hence, there is a need to develop the theory for those general forms of interval type-2 fuzzy logic systems (gfIT2FLSs) which use IT2FSs that are not equivalent to IVFSs and can have non-convex secondary grades. In this chapter, we will present the mathematical tools to define the inference engine for singleton gfIT2FLSs. This work aims to introduce the basic structure of such singleton gfIT2FLSs, paying special attention to those blocks presenting significant differences with the already well known type-2 FLSs which employ IT2FSs which are equivalent to IVFSs (we will term IVFLSs). |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-52962-2_1 | Lecture Notes in Artificial Intelligence |
Field | DocType | Volume |
Normality,Convexity,Computer science,Fuzzy set operations,Fuzzy set,Inference engine,Artificial intelligence,Fuzzy control system,Singleton,Type-2 fuzzy sets and systems,Machine learning | Conference | 10147 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.35 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gonzalo Ruiz-Garcia | 1 | 12 | 1.47 |
| Hani Hagras | 2 | 1747 | 129.26 |
| I. Rojas | 3 | 1750 | 143.09 |
| Héctor Pomares | 4 | 651 | 64.11 |