Fuzzy quantum logics.

Maria Luisa Dalla Chiara; Roberto Giuntini

Mathware and Soft Computing (1996)

  • Volume: 3, Issue: 1-2, page 83-91
  • ISSN: 1134-5632

Abstract

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Quantum logic is a particular example of a fuzzy quantum logic. QL is semantically characterized by the class of all quantum MV algebras. The standard quantum MV algebra is based on the set of all effects in a Hilbert space. From the physical point of view, effects represent physical properties that may be noisy and ambiguous.

How to cite

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Dalla Chiara, Maria Luisa, and Giuntini, Roberto. "Fuzzy quantum logics.." Mathware and Soft Computing 3.1-2 (1996): 83-91. <http://eudml.org/doc/39061>.

@article{DallaChiara1996,
abstract = {Quantum logic is a particular example of a fuzzy quantum logic. QL is semantically characterized by the class of all quantum MV algebras. The standard quantum MV algebra is based on the set of all effects in a Hilbert space. From the physical point of view, effects represent physical properties that may be noisy and ambiguous.},
author = {Dalla Chiara, Maria Luisa, Giuntini, Roberto},
journal = {Mathware and Soft Computing},
keywords = {Física cuántica; Modelos explicativos; Lógica difusa; quantum effects; quantum logic; measurement; logic of effects; fuzzy logic},
language = {eng},
number = {1-2},
pages = {83-91},
title = {Fuzzy quantum logics.},
url = {http://eudml.org/doc/39061},
volume = {3},
year = {1996},
}

TY - JOUR
AU - Dalla Chiara, Maria Luisa
AU - Giuntini, Roberto
TI - Fuzzy quantum logics.
JO - Mathware and Soft Computing
PY - 1996
VL - 3
IS - 1-2
SP - 83
EP - 91
AB - Quantum logic is a particular example of a fuzzy quantum logic. QL is semantically characterized by the class of all quantum MV algebras. The standard quantum MV algebra is based on the set of all effects in a Hilbert space. From the physical point of view, effects represent physical properties that may be noisy and ambiguous.
LA - eng
KW - Física cuántica; Modelos explicativos; Lógica difusa; quantum effects; quantum logic; measurement; logic of effects; fuzzy logic
UR - http://eudml.org/doc/39061
ER -

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