The Application of Fuzzy Logic Inference in Construction Vibration Risk Prediction

2011 ◽  
Vol 243-249 ◽  
pp. 6377-6380
Author(s):  
Zhun Zhang ◽  
Yong Bo Yuan
Keyword(s):  
Fuzzy Logic ◽  
Quantitative Analysis ◽  
Fuzzy Inference ◽  
Primary Phase ◽  
Project Manager ◽  
Construction Site ◽  
Inference Process ◽  
Economical Method ◽  
Logic Inference

Construction induced vibration may cause damage of buildings, disturbance of occupants, and sensitive equipments in buildings surrounding a construction site. The prediction of the construction vibration risk is essential for making decisions before the determination of construction method. Previous methods focus on the prediction based on quantitative analysis. The framework of a new method using fuzzy logic to predict the construction vibration risk is proposed in this paper. This method integrates the knowledge and experience from experts and simulates the inference process of human brain using Mamdani fuzzy inference principle. It is a convenient and economical method when used to provide support for project manager making decisions in primary phase of project.

scholarly journals The idea of fuzzy logic usage in a sheet-based FMEA analysis of mechanical systems

2018 ◽  
Vol 183 ◽  
pp. 03009 ◽  
Author(s):  
Grzegorz Filo ◽  
Joanna Fabiś-Domagała ◽  
Mariusz Domagała ◽  
Edward Lisowski ◽  
Hassan Momeni
Keyword(s):  
Fuzzy Logic ◽  
Risk Analysis ◽  
Fuzzy Sets ◽  
Failure Mode ◽  
Fuzzy Inference ◽  
Logic Model ◽  
Analysis Method ◽  
Inference Process ◽  
Fmea Analysis ◽  
Logic Inference

The main purpose of the work which was carried out and is presented in this paper was to examine the possibility of using fuzzy logic inference for conducting a risk analysis with the help of a sheet-based Failure Mode and Effects Analysis method (FMEA). At the beginning, the main features of the analysed method were presented, with particular emphasis put on the Risk, Priority and Number parameters. Then, a proposal has been made which suggests using Matlab Fuzzy Logic Toolbox package in order to convert the factors into the form of fuzzy sets and to define rules for fuzzy inference process has been made. Finally, the created fuzzy logic model was used to present an example analysis of a turbocharger failure in the fuzzified form.

scholarly journals Development of the generic system of inference rules by knowledgebase

2021 ◽  
pp. 1-9
Author(s):  
Andrey Sergeevich Kopyrin ◽  
Alina Olegovna Kopyrina
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Fuzzy System ◽  
Fuzzy Inference ◽  
Structural Characteristics ◽  
Fuzzy Cluster ◽  
Inference Rules ◽  
Digital Information ◽  
Subject Field

The authors propose to align logical inference with the apparatus of fuzzy sets. When each solution is associated with a set of possible results with the known transitional probabilities, the solution is based on the digital information under uncertainty. Therefore, the main purpose of using fuzzy logic in expert systems consists in creation of computing devices (or software applications) that can imitate human-level reasoning and explain the techniques of decision-making. The goal of this research consists in detailed description of the reproducible standard method of setting rules of inference of the expert system for various economic subject fields, using a universal pattern of knowledgebase. For decision-making in a fuzzy system, the author suggests using the process of identification rule framework – determination of structural characteristics of fuzzy system, such as the number of fuzzy rules, number of linguistic terms the incoming variables are divided to. Such identification is conducted based on the fuzzy cluster analysis, using fuzzy decision trees. The authors present the structural chart of inference method on the basis of fuzzy logic. The presented in the article method of setting rules and fuzzy inference algorithm presented can be implemented in different areas of economics. The novelty of this work consists in automation and integration of the system for determination of fuzzy inference rules with the stage of input data collection in the subject field.

scholarly journals Determination of Factors that Influence the Noise Pollution in Malaysia using Fuzzy Logic

2020 ◽  
Vol 5 (2) ◽  
pp. 1-10
Author(s):  
Mohd Fazril Izhar Mohd Idris ◽  
Nur Afifah Zainol Abidin ◽  
Khairu Azlan Abd Aziz
Keyword(s):  
Fuzzy Logic ◽  
Human Health ◽  
Fuzzy Inference ◽  
Road Traffic ◽  
Negative Impact ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Road Traffic Noise ◽  
Centroid Method

Nowadays, the economy of our country has increased, so the use of transport, whether on land or by air, has also increased. This will lead to noise pollution, which will have an impact on human health. Noise pollution was an unpleasant sound that could have a negative impact on human health, such as sleep disturbance, hearing loss, annoyance, and stress. There are many factors that can cause noise pollution such as road traffic, aircraft, commercial construction, industrial and manufacturing noise. Therefore, the aim of this study is to determine the factor that influences noise pollution in Malaysia using Fuzzy Logic. The determination of factors that affect noise pollution in Malaysia using the Fuzzy Logic approach includes the determination of input and output variables, Fuzzification, Fuzzy Ru le - Based, Fuzzy Inference Method and Defuzzification. In Defuzzification which is the last stage for Fuzzy logic, Centroid method used since it can give a result with more accurate and flexible. This study used road traffic noise, aircraft noise, industria l and manufacturing noise and commercial construction as factors for noise pollution, as well as input variables. This method was used to determine which factors have the most influence on noise pollution. The results of this study show that road traffic n oise and industrial and manufacturing noise were factors which had an impact on noise pollution with a maximum value of 82. This shows that the aim of this study has been achieved.

scholarly journals DETERMINATION OF REGIONS SUITABLE FOR AGRICULTURE IN THE GORDON COSENS FOREST OF ONTARIO BY MEANS OF ANALYTICAL HIERARCHY PROCESS WITH FUZZY LOGIC INFERENCE

2021 ◽  
Vol XLIII-B3-2021 ◽  
pp. 623-629
Author(s):  
R. Pittman ◽  
B. Hu ◽  
G. Sohn
Keyword(s):  
Fuzzy Logic ◽  
Analytical Hierarchy Process ◽  
Agricultural Development ◽  
Moisture Regime ◽  
Northern Ontario ◽  
Fuzzy Logic Inference ◽  
Ecological Land Classification ◽  
Logic Inference ◽  
Hierarchy Process

Abstract. Analytical Hierarchy Process (AHP) with fuzzy logic inference on attributes was employed to determine areas most suitable for agriculture in the Gordon Cosens Forest (GCF) region within the District of Cochrane in northern Ontario, Canada. Attribute layers considered were soil texture, ELC (Ecological Land Classification) moisture regime, slope, canopy height model (CHM), distance to existing road networks and distance to water bodies. Fuzzy logic inference was utilized to rescale the attributes to a normalized range, taking into account preferability, which was then subjected to pairwise comparisons via AHP to determine the attribute layers' weightings. For the study area, the localities identified as most compatible for agricultural development include the southeastern section of the GCF at approximately 30 km south of the community of Fauquier and the westernmost area of the GCF at about 10 km east of Mattice.

USE OF NATURAL VEGETABLE ADAPTOGEN IN BAKERY PRODUCTS TECHNOLOGY

2020 ◽  
Author(s):  
Ю.Н. ВОЛОШИН ◽  
М.М. ЖЕМУХОВА ◽  
Е.Ю. ДОРЕНСКАЯ
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Inference ◽  
Bakery Products ◽  
Fuzzy Inference Systems ◽  
Interactive Mode ◽  
Baked Products ◽  
Inference Systems ◽  
Logic Inference ◽  
Kinetics Of

Исследована кинетика выпечки хлеба с различным содержанием экстракта лимонника китайского. Приведены результаты органолептического анализа качества полученного продукта с последующей количественной оценкой качества продукта с использованием аппарата нечеткой логики. Установлено, что содержание экстракта лимонника в рецептуре в количестве 15 мл практически не влияет на кинетику выпечки. Сенсорный вкусовой анализ качества выпеченных изделий показал, что наилучшими вкусовыми качествами обладает хлеб, выпеченный по рецептуре с содержанием экстракта лимонника в количестве 3 мл. Использование аппарата нечеткой логики в программном комплексе matlab c расширением fuzzy logic toolbox в блоке нечеткого логического вывода позволяет применять интерактивный режим графических средств редактирования и визуализации всех компонентов систем нечеткого вывода для интерактивной оценки интервальных вкусовых качеств хлеба в зависимости от соотношения ингредиентов рецептуры в соответствии с функцией принадлежности. The paper presents materials on the study of the kinetics of baking bread with different contents of Schisandra chinensis extract and organoleptic analysis of the quality of the resulting product, followed by a quantitative assessment of the quality of the product using a fuzzy logic apparatus. It was established that the content of lemongrass extract in the formulation in the amount of 15 ml practically does not affect the kinetics of baking. Sensory taste analysis of the quality of baked products showed that the best tastes are bread baked according to the recipe with the content of Schisandra extract in the amount of 3 ml. Using the fuzzy logic apparatus in the Matlab software package, the Fuzzy Logic Toolbox extension in the fuzzy logic inference unit allows you to use the interactive mode of graphical editing tools and visualization of all components of fuzzy inference systems for interactive evaluation of interval taste qualities of bread depending on the ratio of recipe ingredients in accordance with membership function.

Fuzzy Logic Essentials

2015 ◽  
pp. 168-208
Keyword(s):  
Fuzzy Logic ◽  
Knowledge Representation ◽  
Fuzzy Inference ◽  
Mathematical Formulation ◽  
Mathematical Expression ◽  
Inference Process

This chapter presents the mathematical formulation of the fuzzy logic essentials and sets and serves as a useful background for entering the mathematical expression of the knowledge representation in the fuzzy world. Particular examples and application spaces are explored for an integrated presentation of the facets of fuzziness, both from a theoretical and practical contemplation. This knowledge could assist the comprehension of the mathematical typology and terminology of the fuzzy concepts, leading to the fuzzy inference process that it is examined in the next chapter.

scholarly journals Analisa Persespsi Masyarakat Pendatang Terhadap Kearifan Lokal Metode Fuzzy Inference System (FIS) Mamdani

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 188-197
Author(s):  
Silky Safira ◽  
Wifra Safitri
Keyword(s):  
Fuzzy Logic ◽  
Social Life ◽  
Fuzzy Inference ◽  
Immigrant Communities ◽  
Inference System ◽  
The Public ◽  
Cultural Life ◽  
The Many

Fuzzy logic is considered capable of mapping input into output without ignoring existing factors. Fuzzy logic is very flexible and tolerant of existing data. By using fuzzy logic, a model will be produced from a system that is able to estimate the perceptions of immigrants to local wisdom. The factors that influence the determination of immigrants' perceptions of local wisdom with fuzzy logic are the attitude of immigrant communities. Society's socio-cultural life is shown by the many links to other social life, such as ideology, lifestyle, and economy. This means that changes in one socio-cultural life will affect other social and cultural lives. Therefore this system is made so that the public can know, study and examine the variety of local wisdom, examine the role of indigenous and immigrant people in preserving local wisdom and study the strategies of indigenous and immigrant populations in limiting conflict and so on by applying fuzzy mamdani methods that are expected to provide decisions good in responding to the perceptions of immigrants towards local wisdom in West Kinali Pasaman.

scholarly journals Optimization of an automatic voltage regulator AVR on a synchronous machine using fuzzy control

2021 ◽  
Vol 2135 (1) ◽  
pp. 012004
Author(s):  
Diego N Cuesta Cuesta ◽  
Fernando Martínez Santa
Keyword(s):  
Fuzzy Logic ◽  
Power Supply ◽  
Communication Systems ◽  
Fuzzy Inference ◽  
Synchronous Machine ◽  
Main Function ◽  
Avr System ◽  
Continuous Power ◽  
Relationship Of ◽  
Logic Inference

Abstract The constantly developing society demands more and more electronic devices and microchips that perform vital tasks such as medical services, emergency lighting, communication systems, among others, however these are sensitive to variations and failures of the power supply, such as voltage fluctuations, voltage spikes and interference, for this reason and because of its great importance for its proper functioning must have a continuous power supply, Thus, the work shown in this article proposes to optimize the operation of automatic voltage correction devices AVR used in synchronous power generating machines whose main function is to ensure that the voltage has been constant, for this a solution is proposed based on the use of non-traditional control techniques such as fuzzy logic, For this purpose initially recognizes the relevant elements that make up the AVR system which are amplifier, exciter, generator and sensor then illustrates the mathematical block model that represents the operation of the system which is reduced to transfer function or otherwise as the relationship of the input and output signal of the system, Then a possible classical PID proportional integral derivative proportional control is suggested with the help of the PID tools of the software Matlab ®, where the fuzzy logic inference set is programmed in three stages: first stage: input of the set of rules for voltage error correction, second stage: input of the set of rules for the voltage field output in the synchronous machine, and in a third stage: programming of the fuzzy inference sentences. Finally, the response of each control is compared and the methodology in the design of the alternative control in the synchronous machine is exposed, with the use of the software Matlab®, all this as a study of new trends in control for educational purposes, in the context of Technology in Electricity and Electronic Technology.

An Improved Quantitative Image Analyser

1977 ◽  
Vol 35 ◽  
pp. 226-227
Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor
Keyword(s):  
Feature Extraction ◽  
Quantitative Analysis ◽  
Frequency Content ◽  
General Sense ◽  
Physical Measurements ◽  
Quantitative Image ◽  
Image Analyser ◽  
Automatic Methods ◽  
Quantitative Results

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.

Lateral resolution of the electron microbeam analysis

1978 ◽  
Vol 36 (1) ◽  
pp. 542-543
Author(s):  
H.J. Dudek
Keyword(s):  
Quantitative Analysis ◽  
Depth Resolution ◽  
Lateral Resolution ◽  
Cylindrical Particle ◽  
Correction Procedure ◽  
X Ray ◽  
Element Concentrations ◽  
Microbeam Analysis ◽  
The Matrix

The chemical inhomogenities in modern materials such as fibers, phases and inclusions, often have diameters in the region of one micrometer. Using electron microbeam analysis for the determination of the element concentrations one has to know the smallest possible diameter of such regions for a given accuracy of the quantitative analysis.In th is paper the correction procedure for the quantitative electron microbeam analysis is extended to a spacial problem to determine the smallest possible measurements of a cylindrical particle P of high D (depth resolution) and diameter L (lateral resolution) embeded in a matrix M and which has to be analysed quantitative with the accuracy q. The mathematical accounts lead to the following form of the characteristic x-ray intens ity of the element i of a particle P embeded in the matrix M in relation to the intensity of a standard S

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