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Journal ArticleDOI

Boolean and fuzzy logic implemented at the molecular level

Pier Luigi Gentili
- 09 Jul 2007 - 
- Vol. 336, Iss: 1, pp 64-73
TLDR
This work has shown how to implement both hard and soft computing by means of two structurally related heterocyclic compounds: flindersine and 6(5H)-phenanthridinone and Fuzzy Logic Systems (FLS), wherein the antecedents of the rules are connected through the AND operator.
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This article is published in Chemical Physics.The article was published on 2007-07-09. It has received 46 citations till now. The article focuses on the topics: Fuzzy logic & Fuzzy number.

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Citations
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Journal ArticleDOI

A new multifunctional Schiff base as a fluorescence sensor for Al3+ and a colorimetric sensor for CN− in aqueous media: an application to bioimaging

TL;DR: Receptor 1 exhibited an excellent selective fluorescence response toward Al(3+) and a highly selective colorimetric response to CN(-) by changing its color from colorless to yellow immediately without any interference from other anions.
Journal Article

Belousov-Zhabotinsky "chemical neuron" as a binary and fuzzy logic processor

TL;DR: It is demonstrated experimentally that the well-known oscillatory BelousovZhabotinsky reaction can be exploited to process both Boolean and fuzzy logic if the input variables are either the volumes or the phase of addition of pulse-injected solutions of inhibitor and activator.
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Signal processing with multicomponent systems based on metal complexes

TL;DR: Molecular-level systems that respond to external stimulation by changing some physical or chemical properties can be viewed as input-output devices and therefore may be useful for processing information as discussed by the authors, which is the rational basis for this research.
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Salicylimine-Based Colorimetric and Fluorescent Chemosensor for Selective Detection of Cyanide in Aqueous Buffer

TL;DR: A simple colorimetric and fluorescent anion sensor based on salicylimine showed a high selectivity and sensitivity for detection of cyanide in aqueous solution as mentioned in this paper.
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Boolean and fuzzy logic gates based on the interaction of flindersine with bovine serum albumin and tryptophan.

TL;DR: The synergistic action of the two inputs (n(FL) and T) allows the fuzzy AND logic gate to be implemented, and the smooth dependence of BSA and Trp fluorescence quantum yields on addition of FL moles and temperature allows us to process fuzzy logic.
References
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Journal ArticleDOI

ANFIS: adaptive-network-based fuzzy inference system

TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
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Fuzzy logic in control systems: fuzzy logic controller. II

TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.
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Application of fuzzy algorithms for control of simple dynamic plant

TL;DR: In this article, the authors describe a scheme in which a fuzzy algorithm is used to control plant, in this case, a laboratory-built steam engine, implemented as an interpreter of a set of rules expressed as fuzzy conditional statements.
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Generating fuzzy rules by learning from examples

TL;DR: The mapping is proved to be capable of approximating any real continuous function on a compact set to arbitrary accuracy and applications to truck backer-upper control and time series prediction problems are presented.