Title
Back-and-forth systems for fuzzy first-order models.
Abstract
This paper continues the study of model theory for fuzzy logics by addressing the fundamental issue of classifying models according to their first-order theory. Three different definitions of elementary equivalence for fuzzy first-order models are introduced and separated by suitable counterexamples. We propose several back-and-forth conditions, based both on classical two-sorted structures and on non-classical structures, that are useful to obtain elementary equivalence in particular cases as we illustrate with several examples.
Year
DOI
Venue
2018
10.1016/j.fss.2018.01.016
Fuzzy Sets and Systems
Keywords
Field
DocType
Mathematical fuzzy logic,First-order fuzzy logics,Non-classical logics,Elementary equivalence,Back-and-forth systems,Model theory
Discrete mathematics,Elementary equivalence,Algebra,First order,Fuzzy logic,Counterexample,Model theory,Mathematics
Journal
Volume
ISSN
Citations 
345
0165-0114
3
PageRank 
References 
Authors
0.41
10
3
Name
Order
Citations
PageRank
Pilar Dellunde115622.63
Àngel García-Cerdaña27110.05
Carles Noguera346233.93