Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Laura Franzoi"'
Publikováno v:
Mathematics, Vol 11, Iss 20, p 4335 (2023)
We investigate properties of strongly useful topologies, i.e., topologies with respect to which every weakly continuous preorder admits a continuous order-preserving function. In particular, we prove that a topology is strongly useful provided that t
Externí odkaz:
https://doaj.org/article/45edc481c3bb4d0c8735a145ee4ff1ba
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783030501525
IPMU (3)
IPMU (3)
We use the Steinhaus transform of metric distances to deal with inconsistency in linguistic classification. We focus on data due to G. Longobardi’s school: languages are represented through yes-no strings of length 53, each string position correspo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a713e611ef235c4ddcae48c69951a563
https://doi.org/10.1007/978-3-030-50153-2_2
https://doi.org/10.1007/978-3-030-50153-2_2
Autor:
Laura Franzoi, Andrea Sgarro
Publikováno v:
KES
Back in 1967 the linguist Ž. Muljacic used an additive distance between ill-defined linguistic features which is a forerunner of the fuzzy Hamming distance between strings of truth values in standard fuzzy logic. Here we show that if the logical fra
Publikováno v:
RANLP
In this paper we present new methods for language classification which put to good use both syntax and fuzzy tools, and are capable of dealing with irrelevant linguistic features (i.e. features which should not contribute to the classification) and e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe691ec71cae8b6f5d3c5d676f032c28
https://hdl.handle.net/11368/2958234
https://hdl.handle.net/11368/2958234
Autor:
Laura Franzoi
Publikováno v:
SYNASC
Back in 1967 the Croat linguist Ž. Muljacic introduced a fuzzy generalization of crisp Hamming distances between binary strings of length n; he wanted to show that Dalmatic, nowadays extinct, is a bridge between the Western group of Romance language
Autor:
Laura Franzoi, Andrea Sgarro
Publikováno v:
FUZZ-IEEE
Back in 1967 the Croat linguist Ž. Muljacic had used a fuzzy generalization of the Hamming distance between binary strings to classify Romance languages. In 1956 Cl. Shannon had introduced the notion of codeword distinguishability in zero-error info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f82160ba88503176f0eaf4b4ccf474b
http://hdl.handle.net/11368/2913946
http://hdl.handle.net/11368/2913946
Autor:
Laura Franzoi
Publikováno v:
SYNASC
Irrelevance, a notion which was first put forward by this author jointly with A. Sgarro, is a convenient tool to speed up computations in the arithmetic of interactive fuzzy numbers. In this paper we are trying to understand what happens if the fuzzy
Autor:
Andrea Sgarro, Laura Franzoi
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319429717
SMPS
SMPS
We add fuzziness to the signals sent through a continuous Gaussian transmission channel: fuzzy signals are modeled by means of triangular fuzzy numbers. Our approach is mixed, fuzzy/stochastic: below we do not call into question the probabilistic nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6fea1bf5bd80e2413745de454f9479a
https://doi.org/10.1007/978-3-319-42972-4_28
https://doi.org/10.1007/978-3-319-42972-4_28
Autor:
Andrea Sgarro, Laura Franzoi
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783319405803
IPMU (2)
IPMU (2)
Irrelevance, a notion put forward in [5, 12], is a convenient tool to speed up computations in the arithmetic of interactive fuzzy numbers, which were first put forward in the seminal paper [3]. To make our point, below we deal with standard and less
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f376d38e0c560da6908fa873a361619b
https://hdl.handle.net/11368/2888452
https://hdl.handle.net/11368/2888452
We put forward an ample framework for coding based on upper probabilities, or more generally on normalized monotone set-measures, and model accordingly noisy transmission chan- nels and decoding errors. Two inverse problems are considered. In the fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950d04c7d47a3b2767978f38d134617a
http://www.iospress.nl/
http://www.iospress.nl/