Fuzzy logic (Total 191850 Papers Found)

1389-1286/$ see front matter 2009 Elsevier B.V doi:10.1016/j.comnet.2009.04.008 * Corresponding author. Address: School of Co Engineering, University of Electronic Science and Chengdu 610054, China. Tel.: +86 28 8086 8500. E-mail addresses: junhai_luo@uestc.edu.cn (J. Luo (X. Liu). In a mobile ad-hoc network (MANET) environment, intermediate nodes on a communication path are expected to forward packets of other nodes so that the mobile nodes can communicate beyond their wireless transmission ran ...
The inherent characteristics of fuzzy logic theory makes it suitable for fault detection and diagnosis (FDI). Fault detection can benefit from nonlinear fuzzy modeling and fault diagnosis can profit from a transparent reasoning system, which can embed operator experience, but also learn from experimental and/or simulation data. Thus, fuzzy logic-based diagnostic is advantageous since it allows the incorporation of a-priori knowledge and lets the user understand the inference of the system. In th ...
This paper proposes an improved latent semantic analysis (LSA) model to represent textual document and takes advantage of a fuzzy logic based genetic algorithm (FLGA) for clustering. The standard genetic algorithm (GA) in conventional vector space model is rather difficult to deal with because the high dimensional encoding of GA makes it explore the optimal solution in a complicated space which is prone to cause an overflow problem. The LSA-based corpus model not only reduces the dimensions dras ...
These days Intrusion Detection System (IDS) which is defined as a solution of system security is employed to identify the abnormal activities in a computer system or network. So far different approaches have been utilized in intrusion detections, but unluckily any of the systems is not entirely ideal. Hence, the hunt of improved method goes on. In this progression, here I have designed an Intrusion Detection System (IDS), by applying genetic algorithm (GA) and fuzzy logic to efficiently detect v ...
Recent studies have shown that both Mamdani-type and Takagi-Sugeno-type fuzzy systems are universal approximators in that they can uniformly approximate continuous functions defined on compact domains with arbitrarily high approximation accuracy. In this paper, we investigate necessary conditions for general multiple-input single-output (MISO) Mamdani fuzzy systems as universal approximators with as minimal system configuration as possible. The general MISO fuzzy systems employ almost arbitrary ...
Power electronics and motion control has emerged as a very important technology in the recent trend of industrial automation. The paper reviews the technology status and trends in power electronics and motion control with emphasis on ac machine drives. A comprehensive review of power semiconductor devices, converter circuits, machine drives, and various motion control techniques is included. Finally, the impact of expert systems, fuzzy logic, and neural networks in the intelligent motion control ...
Fuzzy Geographically Weighted Clustering (FGWC) is considered as a suitable tool for the analysis of geo-demographic data that assists the provision and planning of products and services to local people. Context variables were attached to FGWC in order to accelerate the computing speed of the algorithm and to focus the results on the domain of interests. Nonetheless, the determination of exact, crisp values of the context variable is a hard task. In this paper, we propose two novel methods using ...
Shortest path (SP) routing problem for static network has been addressed well in the recent past using different intelligent optimization techniques such as artificial neural network, ant colony optimization, particle swarm optimization, genetic algorithms (GA) etc. However, advancements in the wireless communication result in more and more wireless mobile networks such as mobile ad hoc network, wireless mesh network, etc. for which static path routing algorithms will not work well due to the dy ...
WILLIAMS, A.T., SELLERS, V., and PHILIPS, M.R. 2007. An Assessment of UK Heritage Coasts in South Wales: J A Steers revisited. Journal of Coastal Research, SI 50 (Proceedings of the 9th International Coastal Symposium), 453 – 458. Gold Coast, Australia, ISBN 0749.0208 Much of the South Wales, UK coastline is designated as Heritage Coasts, based upon coastal scenic evaluations conducted in 1944-46, by Professor J. A. STEERS. He utilised a four category scale: ‘Exceptional’, ‘Very Good’, ...
As the photovoltaic produced power is depending on weather conditions, Maximum Power Point Tracking (MPPT) controller are usually applied to extract the maximum amount of generated power. This work provides a review of MPPT controllers based on fuzzy logic concept. The studied system includes a PV panel, a DC-DC converter and a resistive load. The classical MPPT algorithms fail to track the maximum peak power point (MPP) accurately, so that fuzzy logic is introduced to reduce oscillations around ...
A Fuzzy Power System Stabiliser (FPSS) design using discrete inputs is presented. The FPSS basically utilises only one measurable plant signal as input, namely, the generator speed. The speed signal is discretised resulting in three inputs to the FPSS. A simplified power system represented by a single generator transmitting power to the infinite bus is considered for investigations. The system is simulated in simulink while the FPSS is implemented using Fuzzy Logic Toolbox. There are six rules f ...
In this paper, a method is proposed for solving an unbalanced fuzzy transportation problem without converting into a balanced one. The advantage of this method is that it gives an optimal solution. In the proposed method transportation costs, demand and supply are represented by triangular fuzzy numbers. To illustrate the proposed method, a numerical example is solved and the obtained result is compared with the results of other existing approaches. The proposed method is very easy to understand ...
Fuzzy logic, Type-1 and Type-2, is well suited for human systems interactions because they provides a natural way of implementing linguistic terms from human experts. Existing fuzzy frameworks, however, provide limited support for Type-2. They also tend to be fairly complicated and/or have limited portability. This paper introduces a fuzzy framework for building a Type-1Type-2 fuzzy controller. A “wizard” application and modeling language are supported to provide an easy-to-use int ...
A novel CMOS analog fuzzy membership function generator is designed. The fuzzifier generates the membership functions of a fuzzy system by converting the input analog signals to their corresponding predetermined grade of memberships. It takes voltage-mode inputs and produces current mode outputs and so it can be easily tuned with separate input voltages, for easy manipulations of the output fuzzy signals by the arithmetic operations that follow. Furthermore, the fuzzifier is so flexible that it ...
Signature plays its authorization role in almost every document. Proper care should be taken for the verification of the genuineness of the signature in legal documents. Signature verification scheme can be online or offline based on the acquisition type. A novel method for offline signature verification in bank cheques is proposed. It is found out that using fractal dimensions for verification purpose improves the accuracy rate. Also the fundamentals of offline signature verification process ar ...
A new adaptive fuzzy approach to function approximation is proposed in the paper. A Takagi-Sugeno (T-S) type fuzzy system is used as the function approximator in the study. The proposed approach uses a hybrid learning method to train the T-S fuzzy system to achieve high accuracy in function approximation. The hybrid learning method combines both the particle swarm optimization (PSO) and the recursive least squares estimator (RLSE) to update the parameters of the fuzzy approximator. The PSO is us ...
In Newtonian physics, if we know the state of the world at some moment of time, then we can precisely predict the state of the world at all future times. In this sense, Newtonian physics is deterministic. In modern physics (starting with quantum mechanics), theories are usually non-deterministic in the sense that even if we know exactly the initial state of the world, we cannot uniquely predict the future state of the world. In quantum mechanics (and in most modern quantum-based physical theorie ...
This study suggests a soft computing approach to extract knowledge which can decide learner's learning style in e-learning environment. The approach uses the rules of the learning style instrument(LSI) designed by Marlene Lefever which is based on the McCarthy Model. There are e-learning system which detect the learning style of a particular learner in a crisp manner. Due to the fuzzy nature of the learner a fuzzy approach is used to decide the learning style of the learner. The proposed method ...
This article presents an algorithm for compression of echocardiographic images. The algorithm is based on the JPEG algorithm and uses a fuzzy inference system to adapt the normalization process of the transformed coefficients through the analysis of the local characteristics of echocardiographic images. The images considered in this paper were acquired in actual echocardiography exams. The proposed encoder guarantees a maximum local signal-to-noise ratio, which is adapted to the characteristics ...
  • ,
  • 2002
One of the most challenging areas in technical analysis is the automatic detection of technical patterns that are similar in the eyes of experts. Such a detection process should closely resemble or capture human cognitive abilities or even intuition. We incorporate human cognitive uncertainty into the technical analysis by using a fuzzy logic based approach. The results show that our approach is able to detect subtle differences within a clearly defined pattern. We find significant post-pattern ...
This work develops a knowledge based system to autonomous navigation using Fuzzy Cognitive Maps (FCM). A new variant of FCM, named Dynamic-Fuzzy Cognitive Maps, (D-FCM) is used to model decision tasks and/or make inference in the robot or mobile navigation. Fuzzy Cognitive Maps is a tool that modeling qualitative structured knowledge way through concepts and causal relationships. The proposed model allows representing the dynamic behavior of the mobile in presence of environment changes. A br ...
— An ad-hoc network is a collection of wireless mobile hosts forming a temporary network without the aid of any established infrastructure or centralized administration. In such an environment, it may be necessary for one mobile host to enlist the aid of other hosts in forwarding a packet to its destination, due to the limited range of each mobile host's wireless transmissions. Much effort has gone into mobile ad-hoc network (MANET) research over the past decade. Yet, even today , mobile ad-ho ...
This paper describes an accurate rotor position estimation, which is very important for high performance operation of Switched Reluctance Motor (SRM). Earlier, a rotor position sensor has been used for sensing the rotor position. The position sensor used in SRM drives have the disadvantages of additional cost, electrical connections, mechanical alignment problems, less suitability to space restricted applications and significant disadvantage of being inherent source of unreliability. These bottl ...
This article introduces and evaluates a fuzzy logic based representation for HTML document clustering using Self-Organizing Maps. This representation is built on heuristic combinations of criteria by means of a fuzzy rules system and based on the HTML markup. We evaluate the model using different feature vector sizes. Experimental results show an improvement in clustering quality when the fuzzy logic-based model is used instead of the vector space model with traditional term weighting functions ...
Prolonged exposure to stressful environments can lead to serious health problems. Therefore, measuring stress in daily life situations through non-invasive procedures has become a significant research challenge. In this paper, we describe a system for the automatic detection of momentary stress from behavioral and physiological measures collected through wearable sensors. The system's architecture consists of two key components: a) a mobile acquisition module; b) an analysis and decision module. ...
In this paper, we introduce the concept of intuitionistic fuzzy ideals of subtraction algebras. We obtain the characterizations of intuitionistic fuzzy ideals in subtraction algebras. Using a collection of ideals with additional conditions, we construct an intuitionistic fuzzy ideal and we obtain some related properties of it. Mathematics Subject Classification: 03G25, 04A72, 08A72 ...
In this paper the speed control of a DC series motorwithHybrid Fuzzy-NeuroController (FNC) is presented. The motor is connected with a DC Chopper. This configuration has been designed with current control and speed control loops. The current controller blocks the PWMsignal when the current increases beyond its limit.Thespeed controller is based on Fuzzy-Neuro type. The performances of FNC are analyzed in respect of load variation and speed variation using MATLAB/Simulink.This system is implement ...
This article deals with the claims that “a standard version of fuzzy logic collapses mathematically to two-valued logic” made by Charles Elkan in two papers @Proc 11th National Conf on AI, Menlo Park, CA: AAAI Press, 1993, pp 698–703; IEEE Expert 1994;9:3–8#. Although Elkan’s effort to trivialize fuzzy logic has been questioned by numerous authors, our aim is to examine in detail his formal arguments and make some new observations. We present alternative, considerably simpler proofs of ...
Due to the flexibility and simplification, the fuzzy logic control (FLC) is chosen to make effective utilization of resources. The proposed Algorithm is divided into four parts: traffic classification, resource estimation for reservation, admission control and RAT selection. This combined fuzzy logic and multi-attribute decision making (MADM) based algorithm can make proper initial RAT selection, horizontal handoff, vertical handoff, admission control and load balancing. The MADM based RAT selec ...
  • Young Im Cho,
  • 2009 International Conference on Biometrics and Kansei Engineering
  • 2009
In this paper, we will discuss about the intelligent multi-agent based health information system. The multi-agent concept is varied from 2 or 3 agents to many agents. Therefore, to construct the appropriate concept which you want to implement is more important. In this paper, we will discuss about the concept of multi-agent, and discuss some application areas of fuzzy logic based multi-agent, especially in bioinformatics. And finally we will discuss about the future research areas of multi-agent ...
Uncertain spatial and geometric information are concerned in many of the mechatronics and automations tasks. With the rapid development of semantic web, semantic technologies are also used in these fields for the sake of information share and integration. But no fuzzy theory for spatial semantic information has been studied before. The fuzzy spatial description logic FALCRP(D) is proposed, it is based on spatial reasoning and fuzzy logic. FALCRP(D) augments the following features to classical de ...
Case Based Reasoning (CBR) is an intelligent way of thinking based on experience and capitalization of already solved cases (source cases) to find a solution to a new problem (target case). Retrieval phase consists on identifying source cases that are similar to the target case. This phase may lead to erroneous results if the existing knowledge imperfections are not taken into account. This work presents a novel solution based on Fuzzy logic techniques and adaptation measures which aggregate wei ...
Echocardiography is the predominant technique for quantitative assessment of cardiac function. This paper presents a new noise resistive method for segmenting echocardiographic images using fuzzy logic and texture properties. In echocardiographic images, the transition between blood pool and myocardium is significant, which reflects as variations in texture properties. Our edge detection method incorporates the transition characteristics and texture properties of echo images (transtexture) for b ...
This paper proposes a parameterized definition for fuzzy comparators on complex fuzzy datatypes like fuzzy collections with conjunctive semantics and fuzzy objects. This definition and its implementation on a Fuzzy Object-Relational Database Management System (FORDBMS) provides the designer with a powerful tool to adapt the behavior of these operators to the semantics of the considered application. ...
In this paper, the fuzzy concept based on T-implication operators is studied by the axiomatic approach. An operators-oriented characterization of the fuzzy concept is proposed, that is, the fuzzy intent-extent operator and the fuzzy extent-intent operator based on T-implication operators are defined by axioms. The axiom sets of the fuzzy concept operators guarantee the existence of fuzzy relations which produce the same operators. ...
IOT features created various new information parts but one of the part is vehicular information network where many cars and products are participating with huge info exchange. The high information management as well as minimal transmission efficiency sustained in the vehicular information network is challenging the investigators to analyze more cost-effective and scalable network architectures along with transmission schemes. The study indicates that the NDN has better results but it can be impr ...
Agility metrics are difficult to define, mainly due to the multidimensionality and vagueness of the concept of agility. In this paper, a fuzzy logic, knowledge-based framework is presented for the assessment of manufacturing agility. The combined measure incorporates certain operational parameters, their variations, and their effect on the value of agility. The necessary expertise used to quantitatively determine and measure agility is represented via fuzzy logic terminology, which allows for hu ...
In this paper we design a new Fuzzy Logic controller (FLC) chip with mixed-signal input and digital output. For implementing this idea, a new programmable Fuzzifier circuit based on generation of three current membership functions including Gaussian, Trapezoidal and Triangular shapes and three new circuits for implementing Min operators are proposed. We improved a Multiplier/Divider circuit and a current mode Analog to Digital (A/D) converter with 7 bit resolutions to complete and implement Defu ...