Fuzzy Logic for Intelligent Control System Using Soft Computing Applications

Dumitrescu, Cătălin; Ciotîrnae, Petrică; Vizitiu, Constantin

doi:10.3390/s21082617

Cited by 44 publications

(24 citation statements)

References 44 publications

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“…𝑁𝑜.𝑇ℎ𝑒𝑚𝑎𝑡𝑖𝑐 𝑤𝑜𝑟𝑑 𝑖𝑛 𝑆 𝑖 𝐿𝑒𝑛𝑔𝑡ℎ (𝑆𝑖) (4) 5) Title word: This feature is used to find the number of words in the title that appear in the sentence. Words in sentences that also appear in the title is given a high score [6]. Calculate score for this feature which is the ratio of the number of words in a sentence that appears in the title to the length in that sentence (the number of words in that sentence).…”

Section: 𝑆𝑐𝑜𝑟𝑒 (𝑆 𝑖 ) =mentioning

confidence: 99%

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An Extractive Text Summarization based on Candidate Summary Sentences using Fuzzy-Decision Tree

Widyassari¹,

Noersasongko²,

Syukur³

et al. 2022

IJACSA

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This study aims to predict candidate summary sentences in extractive summary using the Fuzzy-Decision Tree method. The fuzzy method is quite superior and the most widely used in extractive summaries, because Fuzzy has advantages in calculations that are not cryptic, so it is able to calculate uncertain possibilities. However, in its implementation, the fuzzy rule generation process is often carried out randomly or based on expert understanding so that it does not represent the distribution of the data. Therefore, in this study, a Decision Tree (DT) technique was added to generate fuzzy rules. From the fuzzy final result, important sentences are obtained that are candidates for summary sentences. The performance of our proposed method was tested on the 2002 DUC dataset in the ROUGE-1 evaluation. The results showed that our method outperformed other methods (baseline and sentence ranking) with an average precision of 0.882498, Recall 0.820443 and F Measure 0.882498 with CI for F1 0.821-0.879 at the 95% confidence level.

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Section: 𝑆𝑐𝑜𝑟𝑒 (𝑆 𝑖 ) =mentioning

confidence: 99%

“…The fuzzy method has often been used in classification cases and gives good results in both classification and prediction. Fuzzy has the advantage in that its calculations are not rigid (fuzzy), so that it is able to take into account uncertain possibilities [6] [7]. The fuzzy approach is quite widely used in extractive summaries [8].…”

Section: Introductionmentioning

confidence: 99%

An Extractive Text Summarization based on Candidate Summary Sentences using Fuzzy-Decision Tree

Widyassari¹,

Noersasongko²,

Syukur³

et al. 2022

IJACSA

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show abstract

“…For these reasons, a Fuzzy controller was designed to be implemented at the Wireless Controller as a gain scheduler based on Fuzzy Logic for a PID Controller. FLC is a knowledge-based method that is configured through an operator expertise on a particular system [61]. The input information is fed into a fuzzification block that translates the numerical values to linguistic terms (also called membership functions) defined by the designer; subsequently, these are evaluated in IF-THEN rules.…”

Section: Design Of the Local And Remote Controllersmentioning

confidence: 99%

Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems

Calvo

Villar

Napole

et al. 2021

Sensors

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The nature of wireless propagation may reduce the QoS of the applications, such that some packages can be delayed or lost. For this reason, the design of wireless control applications must be faced in a holistic way to avoid degrading the performance of the control algorithms. This paper is aimed at improving the reliability of wireless control applications in the event of communication degradation or temporary loss at the wireless links. Two controller levels are used: sophisticated algorithms providing better performance are executed in a central node, whereas local independent controllers, implemented as back-up controllers, are executed next to the process in case of QoS degradation. This work presents a reliable strategy for switching between central and local controllers avoiding that plants may become uncontrolled. For validation purposes, the presented approach was used to control a planar robot. A Fuzzy Logic control algorithm was implemented as a main controller at a high performance computing platform. A back-up controller was implemented on an edge device. This approach avoids the robot becoming uncontrolled in case of communication failure. Although a planar robot was chosen in this work, the presented approach may be extended to other processes. XBee 900 MHz communication technology was selected for control tasks, leaving the 2.4 GHz band for integration with cloud services. Several experiments are presented to analyze the behavior of the control application under different circumstances. The results proved that our approach allows the use of wireless communications, even in critical control applications.

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“…Intelligent autonomous decision-making is mainly through mathematical optimization, artificial intelligence and other methods to build a mapping from naval operational situation to operational commands. According to the different ideas of solving the mapping, there are mainly: influence diagram [2][3][4], genetic algorithm [5,6], fuzzy logic [7,8], neural network [9] and other methods. In response to different scenarios, these methods have been used to solve the problem of autonomous decision-making, and many results have been achieved [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Operational Rule Extraction and Construction Based on Task Scenario Analysis

Zhao¹,

Wang²,

Cui³

et al. 2022

Information

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Changes in the information age have induced the necessity for a more efficient and effective self-decision-making requirement. A method of extracting and constructing naval operations decision-making rules based on scenario analysis is proposed. The template specifications of Event Condition Action (ECA) rules are defined, and a consistency detection method of ECA rules based on SWRL is proposed. The logical relationships and state transitions of the naval operational process is analyzed in detail, and the association of objects, events, and behaviors is realized. Finally, the operation of the proposed methods is illustrated through an example process, showing the method can effectively solve the problems of self-decision-making rule extraction and construction among naval battlefield decision environment, and avoid relying on artificial intelligence, which may have brought some uncertain factors.

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Fuzzy Logic for Intelligent Control System Using Soft Computing Applications

Cited by 44 publications

References 44 publications

An Extractive Text Summarization based on Candidate Summary Sentences using Fuzzy-Decision Tree

An Extractive Text Summarization based on Candidate Summary Sentences using Fuzzy-Decision Tree

Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems

Operational Rule Extraction and Construction Based on Task Scenario Analysis

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