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The aggregation of transitive fuzzy relations revisited
- Source :
- Fuzzy Sets and Systems. 446:243-260
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- In this paper, we consider the problem of aggregating a collection of transitive fuzzy binary relations in such a way that the aggregation process preserves transitivity. Specifically, we focus our efforts on the characterization of those functions that aggregate a collection of fuzzy binary relations which are transitive with respect to a collection of t-norms preserving the transitivity. We characterize them in terms of triangular triplets. Further, the relationship between triangular triplets, the monotonicity of the aggregation function and an appropriate dominance notion is explicitly stated. Special attention is paid to a few classes of transitive fuzzy binary relations that are relevant in the literature. Concretely, we describe, in terms of triangular triplets, those functions that aggregate a collection of fuzzy pre-orders, fuzzy partial orders, relaxed indistinguishability relations, indistinguishability relations and equalities. A surprising relationship between functions that aggregate transitive fuzzy relations into a T M -transitive fuzzy relation and those that aggregate relaxed indistinguishability relations is shown. A few consequences of the new results are also provided for those cases in which all the t-norms of the given collection are the same. Some celebrated results are retrieved as a particular case from the exposed theory.
- Subjects :
- 0209 industrial biotechnology
Transitive relation
Pure mathematics
Logic
Binary relation
Aggregate (data warehouse)
Monotonic function
02 engineering and technology
Function (mathematics)
Characterization (mathematics)
16. Peace & justice
Fuzzy logic
020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Relation (history of concept)
Mathematics
Subjects
Details
- ISSN :
- 01650114
- Volume :
- 446
- Database :
- OpenAIRE
- Journal :
- Fuzzy Sets and Systems
- Accession number :
- edsair.doi...........41f3c681a510c95b3dded5368c2fc7ca
- Full Text :
- https://doi.org/10.1016/j.fss.2020.11.012