Animated fuzzy logic

1998 ◽  
Vol 8 (5) ◽  
pp. 503-525 ◽  
Author(s):  
GARY MEEHAN ◽  
MIKE JOY
Keyword(s):  
Fuzzy Logic ◽  
Functional Language ◽  
Fuzzy Subset ◽  
High Level ◽  
Natural Way

In this paper we aim to give an introduction to fuzzy logic using the language Haskell to implement our solutions. We shall see how the high-level, declarative nature of a functional language allows us to implement easily and efficiently solutions to problems using fuzzy logic and, in particular, how the presence of functions as first-class values allows us to model the key concept of the fuzzy subset in a natural way.

A Framework for Assessing the Cost and Financing Uncertainties of the Belgian High Level-Waste Repository

2003 ◽  
Author(s):  
P. L. Kunsch
Keyword(s):  
Fuzzy Logic ◽  
Electric Power Research Institute ◽  
High Level Waste ◽  
Mathematical Technique ◽  
Final Design ◽  
High Level ◽  
The Cost ◽  
Fuzzy Logic Technique ◽  
Hlw Repository ◽  
Natural Way

This paper presents the general approach presently developed by ONDRAF/NIRAS/NERAS, the Belgian radioactive waste management agency for dealing with the economic and financial uncertainties of the High-level-Waste (HLW) repository project in clay. This project will be for many more years the object of R&D studies. Many uncertainties thus still exist regarding the final design, the eventual costs, and the realisation schedule. Recommendations from the Electric Power Research Institute (EPRI) are available for computing contingency factors to be applied on top of the basic costs delivered by project engineers. We show in this paper that fuzzy logic is a natural way to use the recommendations of EPRI. Fuzzy logic is a mathematical technique for representing unprecise or relatively vague judgments made by experts, like: ‘this project is preliminary’, ‘this concept is insufficiently mature’, etc. This approach is considered in many fields as being well-suited for coping with uncertainties implied by such judgments. In the present case, distinction is made between uncertainties related to policy, project, technology, and realisation schedule. The paper details the sequence of basic steps used by the agency to produce as a final product the per-unit tariff of the different waste categories. Expert judgments are interpreted by the fuzzy-logic technique to derive EPRI-like contingency factors for each project task, as well as a fuzzy operating schedule within a given political scenario. Conclusions are given on how this approach can be validated and set into practice.

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

A contribution to the identification in fuzzy-logic control

1990 ◽  
Vol 55 (4) ◽  
pp. 951-963 ◽  
Author(s):  
Josef Vrba ◽  
Ywetta Purová
Keyword(s):  
Time Series ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Automatic Generation ◽  
Linguistic Variable ◽  
Fuzzy Subset ◽  
Input Output ◽  
Logic Control ◽  
Correlation Tables

A linguistic identification of a system controlled by a fuzzy-logic controller is presented. The information about the behaviour of the system, concentrated in time-series, is analyzed from the point of its description by linguistic variable and fuzzy subset as its quantifier. The partial input/output relation and its strength is expressed by a sort of correlation tables and coefficients. The principles of automatic generation of model statements are presented as well.

scholarly journals Fuzzy Logic for Intelligent Control System Using Soft Computing Applications

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2617
Author(s):  
Catalin Dumitrescu ◽  
Petrica Ciotirnae ◽  
Constantin Vizitiu
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Intelligent Control ◽  
Fuzzy Controller ◽  
Control Technique ◽  
Distributed Intelligence ◽  
High Level ◽  
The Impact ◽  
Fuzzy Subsets

When considering the concept of distributed intelligent control, three types of components can be defined: (i) fuzzy sensors which provide a representation of measurements as fuzzy subsets, (ii) fuzzy actuators which can operate in the real world based on the fuzzy subsets they receive, and, (iii) the fuzzy components of the inference. As a result, these elements generate new fuzzy subsets from the fuzzy elements that were previously used. The purpose of this article is to define the elements of an interoperable technology Fuzzy Applied Cell Control-soft computing language for the development of fuzzy components with distributed intelligence implemented on the DSP target. The cells in the network are configured using the operations of symbolic fusion, symbolic inference and fuzzy–real symbolic transformation, which are based on the concepts of fuzzy meaning and fuzzy description. The two applications presented in the article, Agent-based modeling and fuzzy logic for simulating pedestrian crowds in panic decision-making situations and Fuzzy controller for mobile robot, are both timely. The increasing occurrence of panic moments during mass events prompted the investigation of the impact of panic on crowd dynamics and the simulation of pedestrian flows in panic situations. Based on the research presented in the article, we propose a Fuzzy controller-based system for determining pedestrian flows and calculating the shortest evacuation distance in panic situations. Fuzzy logic, one of the representation techniques in artificial intelligence, is a well-known method in soft computing that allows the treatment of strong constraints caused by the inaccuracy of the data obtained from the robot’s sensors. Based on this motivation, the second application proposed in the article creates an intelligent control technique based on Fuzzy Logic Control (FLC), a feature of intelligent control systems that can be used as an alternative to traditional control techniques for mobile robots. This method allows you to simulate the experience of a human expert. The benefits of using a network of fuzzy components are not limited to those provided distributed systems. Fuzzy cells are simple to configure while also providing high-level functions such as mergers and decision-making processes.

scholarly journals Contribuições do cuidado de enfermagem na redução da dor em clientes com dermatoses imunobolhosas: avaliação pela lógica fuzzi

2016 ◽  
Vol 15 (4) ◽  
pp. 675 ◽  
Author(s):  
Euzeli Da Silva Brandão ◽  
Iraci Dos Santos ◽  
Regina Serrão Lanzillotti
Keyword(s):  
Fuzzy Logic ◽  
Pain Intensity ◽  
Nursing Care ◽  
Pain Reduction ◽  
Low Level ◽  
Before And After ◽  
Reduction Of Pain ◽  
High Level

Aim: to evaluate the intensity of the client’s pain with autoimmune bullous  dermatoses,  before  and  after the  protocol  of  nursing  care  is  applied to  a  client with autoimmune bullous dermatoses. Method: the data were treated using fuzzy logic. Results: when associating the implementation of the protocol with pain reduction in the 14 study subjects the following stand out: in T0, seven subjects presented high levels of pain, with a pertinence of 1.0; in T1, 24 hours after intervention, eight presented a low level of pain, with pertinences ranging from 1.0 and 0.75, and only one with high level of pain;  in  T2,  only  one  remained  with  a  high  level  of  pain.  Discussion:  the  use  of analgesics prior to application of the protocol demonstrates that change in pain intensity was  not  influenced  by  use  of  medication,  but  rather  by  the  implemented  care. Conclusion: based on the classifications of fuzzy logic, there was a significant reduction of pain levels, especially in the first 24 hours.

scholarly journals A Fuzzy Controlled Image Watermarking Based on a Dual Transform Technique

2016 ◽  
Vol 5 (1) ◽  
pp. 83-92
Author(s):  
Bander Albarakati, Abdullah Basuhail, Gibrael Abo Samra Bander Albarakati, Abdullah Basuhail, Gibrael Abo Samra
Keyword(s):  
Fuzzy Logic ◽  
Spread Spectrum ◽  
Image Watermarking ◽  
Error Correcting Code ◽  
Recovery Process ◽  
Discrete Wavelet ◽  
Hybrid Watermarking ◽  
High Level ◽  
Code Division Multiple

This paper presents a new watermarking technique using hybrid image transforms that aims to be very robust against attacks. It also aims to reduce the amount of distortion created from embedding the watermark as much as possible, and have good capacity. The proposed system uses a hybrid watermarking technique that is based on Non-Subsampled Contourlet Transform and Discrete Wavelet Transform. In addition, the proposed system makes use of the fuzzy logic to automatically choose the strength of the embedded watermark. Furthermore, the system uses Spread Spectrum Code Division Multiple Access to embed and recover the watermark after transforming the image. To enhance recoverability of the watermarks, the system uses a high level of redundancy in the embedding process, which allows a powerful Error Correcting Code to be used in the recovery process. The fuzzy logic is used to help the system in producing watermarked images that reserve their quality and not be heavily altered after embedding the watermark. Experiments were performed to measure the quality of the proposed system using JPEG compression attacks. The results showed that the proposed system is robust and has good capacity and imperceptibly although it suffers from being computationally complex.

scholarly journals Constraint Problem Specification as Compression

10.29007/7ths ◽  
2018 ◽  
Author(s):  
Steve Prestwich ◽  
S. Armagan Tarim ◽  
Roberto Rossi
Keyword(s):  
Logic Programming ◽  
Data Compression ◽  
Constraint Programming ◽  
Auxiliary Problem ◽  
Combinatorial Problems ◽  
Specification Languages ◽  
Constraint Problem ◽  
High Level ◽  
Natural Way ◽  
Comparable Size

Constraint Programming is a powerful and expressive framework for modelling and solving combinatorial problems. It is nevertheless not always easy to use, which has led to the development of high-level specification languages. We show that Constraint Logic Programming can be used as a meta-language to describe itself more compactly at a higher level of abstraction. This can produce problem descriptions of comparable size to those in existing specification languages, via techniques similar to those used in data compression. An advantage over existing specification languages is that, for a problem whose specification requires the solution of an auxiliary problem, a single specification can unify the two problems. Moreover, using a symbolic representation of domain values leads to a natural way of modelling channelling constraints.

scholarly journals Neutrosophic Logic for Software Effort Estimation: An Improvement over Fuzzy Logic

2019 ◽  
Vol 8 (12S) ◽  
pp. 709-714
Keyword(s):  
Fuzzy Logic ◽  
Research Area ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Software Application ◽  
Neutrosophic Logic ◽  
Logic Approach ◽  
Human Thinking ◽  
Active Research ◽  
High Level

Software effort estimation is big and active research area. Software effort estimation is useful for time and efforts required to perform a particular task. But, it is very rare to estimate the effort with high level of reliability. There are various approaches to estimate the software application effort. In the present paper, to estimate the effort for software applications efforts, neutrosophic logic approach is used. Neutrosophic logic is a mathematical model for ambiguity, uncertainty, incompleteness, vagueness, redundancy, contradiction and inconsistency in data. It is the extension to the fuzzy logic. It is capable of handling those errors which are not handled by fuzzy logic like indeterminacy in the data. Neutrosophic logic gives the results very similar to human thinking. The present work concludes that neutrosophic logic optimizes the performance of fuzzy logic while calculating the software efforts..

Transparent Tools for Uncertainty Analysis in High Level Waste Disposal Facilities Safety

2007 ◽  
Author(s):  
Francisco Luiz de Lemos ◽  
Karl-Heinz Helmuth ◽  
Terry Sullivan
Keyword(s):  
Fuzzy Logic ◽  
Uncertainty Analysis ◽  
Waste Disposal ◽  
Computational Models ◽  
Cognitive Mapping ◽  
Data Interpretation ◽  
High Level Waste ◽  
Rock Interaction ◽  
And Migration ◽  
High Level

In this paper some results of a further development of a technical cooperation project, initiated in 2004, between the CDTN/CNEN, The Brazilian National Nuclear Energy Commission, and the STUK, The Finnish Radiation and Nuclear Safety Authority, are presented. The objective of this project is to study applications of fuzzy logic, and artificial intelligence methods, on uncertainty analysis of high level waste disposal facilities safety assessment. Uncertainty analysis is an essential part of the study of the complex interactions of the features, events and processes, which will affect the performance of the HLW disposal system over the thousands of years in the future. Very often the development of conceptual and computational models requires simplifications and selection of over conservative parameters that can lead to unrealistic results. These results can mask the existing uncertainties which, consequently, can be an obstacle to a better understanding of the natural processes. A correct evaluation of uncertainties and their rule on data interpretation is an important step for the improvement of the confidence in the calculations and public acceptance. This study focuses on dissolution (source), solubility and sorption (sink) as key processes for determination of release and migration of radionuclides. These factors are affected by a number of parameters that characterize the near and far fields such as pH; temperature; redox conditions; and other groundwater properties. On the other hand, these parameters are also consequence of other processes and conditions such as water rock interaction; pH and redox buffering. Fuzzy logic tools have been proved to be suited for dealing with interpretation of complex, and some times conflicting, data. For example, although some parameters, such as pH and carbonate, are treated as independent, they have influence in each other and on the solubility. It is used the technique of fuzzy cognitive mapping is used for analysis of effects of variations on one parameter on the others in a system. This technique uses the concept of fuzzy sets to represent the “quality” of the relation between parameters rather then deterministic numbers.

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