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fns using fuzzy arithmetic and fuzzy logic operations

Adaptive Traffic Signal Control Using Fuzzy Logic

Adaptive Traffic Signal Control Using Fuzzy Logic

Kĩ thuật Viễn thông

... traffic-responsive area traffic control methods: SCATS and SCOOT Traffic Engineering and Control, pp 14-20 Pappis, C and Mamdani, E (1977) A fuzzy logic controller for a traffic junction IEEE Trans ... implementing this type of control using fuzzy logic decision rules can further enhance the appropriateness of the control actions, increase control flexibility ,and produce performance characteristics ... count and the length of the green period At the start of each phase change, the controller computes the time of the next phase change using its current cycle time and phase split values The fuzzy...
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Báo cáo hóa học:

Báo cáo hóa học: " Retina identification based on the pattern of blood vessels using fuzzy logic" doc

Hóa học - Dầu khí

... input and output variables are showed in Figures and 9, respectively Fuzzy rules of our proposed system are as follow If (AP is Low) and (RP is Low) then (Similarity is High) If (AP is Low) and ... vessel segmentation, feature generation, and feature matching parts They have evaluated their system using 60 images of DRIVE [13] and STARE [14] databases and have reported 99% as the average success ... characteristics and low possibility of fraud because pattern of human’s retinas rarely changes during their life and also it is stable and could not be manipulated Retina-based identification and recognition...
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introduction to fuzzy logic using matlab - sivanandam sumathi and deepa

introduction to fuzzy logic using matlab - sivanandam sumathi and deepa

Điện - Điện tử

... Introduction to Fuzzy Logic using MATLAB S.N Sivanandam, S Sumathi and S.N Deepa Introduction to Fuzzy Logic using MATLAB With 304 Figures and 37 Tables 123 Dr S.N Sivanandam S N Deepa Professor and Head ... Sivanandam, S Sumathi and S.N Deepa Introduction to Fuzzy Logic using MATLAB With 304 Figures and 37 Tables 123 Dr S.N Sivanandam S N Deepa Professor and Head Department of Computer Science and ... Vague Fuzzy logic system Decisions statements Fig 1.1 A fuzzy logic system which accepts imprecise data and vague statements such as low, medium, high and provides decisions 1.1 Fuzzy Logic Fuzzy...
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Classification of EMG signals using wavelet features and fuzzy logic classifiers

Classification of EMG signals using wavelet features and fuzzy logic classifiers

Tổng hợp

... Hybrid Fuzzy- Neural approaches Apart from using neural networks and fuzzy logic, researchers also tried their combination called neuro -fuzzy or fuzzy- neural systems for EMG classification and assistive ... designed fuzzy classifiers, which are developed using both type-1 and type-2 fuzzy logic systems (FLS) Given a collection of EMG data for simple human arm motions such as hand close-open and forearm ... approach to EMG classification and control of assistive devices Fuzzy logic has the ability to deal with imprecise, uncertain and imperfect information The strength of fuzzy logic lies in the fact that...
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A comparative assessment of prediction capabilities of modified analytical hierarchy process (MAHP) and Mamdani fuzzy logic models using NetcadGIS for forest fire susceptibility mapping

A comparative assessment of prediction capabilities of modified analytical hierarchy process (MAHP) and Mamdani fuzzy logic models using NetcadGIS for forest fire susceptibility mapping

Tổng hợp

... seashore: Flam Map and GIS In: Second international wild land fire ecology and fire management congress and fifth symposium on fire and forest meteorology Orlando (FL): American Meteorological Society; ... prepared using Landsat-7 images (path 162 and row 34 obtained on 13 November 2010) based on the following equation (Rouse et al 1973): NDVI ¼ NIR ¡ RED ; NIR þ RED (1) where NIR (band 4) and RED (band ... Nefeslioglu et al (2013) 3.4 Mamdani fuzzy logic The fuzzy set theory was first introduced by Zadeh (1965), and it is one of the tools used to handle complex problems Fuzzy sets theory is a mathematical...
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Tài liệu Fuzzy Logic and NeuroFuzzy Applications in Industrial Automation doc

Tài liệu Fuzzy Logic and NeuroFuzzy Applications in Industrial Automation doc

Cơ khí - Chế tạo máy

... data sets logic with the learning power of neural nets, and you get NeuroFuzzy Training Fuzzy Logic Systems with NeuroFuzzy Many alternative ways of integrating neural nets and fuzzy logic have ... Altrock, "Fuzzy Logic and NeuroFuzzy Applications Explained", ISBN 0-1336-8465-2, Prentice Hall 1995 Yager, R., "Implementing fuzzy logic controllers using a neural network framework", Fuzzy Sets and ... quality [5] The fuzzy logic system controls the catalyst feed using three input variables that stem from online process sensors The fuzzy logic system uses 75 rules and reduced the standard deviation...
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Tài liệu Fuzzy Logic and NeuroFuzzy Applications in Industrial Automation docx

Tài liệu Fuzzy Logic and NeuroFuzzy Applications in Industrial Automation docx

Cơ khí - Chế tạo máy

... data sets logic with the learning power of neural nets, and you get NeuroFuzzy Training Fuzzy Logic Systems with NeuroFuzzy Many alternative ways of integrating neural nets and fuzzy logic have ... Altrock, "Fuzzy Logic and NeuroFuzzy Applications Explained", ISBN 0-1336-8465-2, Prentice Hall 1995 Yager, R., "Implementing fuzzy logic controllers using a neural network framework", Fuzzy Sets and ... quality [5] The fuzzy logic system controls the catalyst feed using three input variables that stem from online process sensors The fuzzy logic system uses 75 rules and reduced the standard deviation...
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Tài liệu Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory pptx

Tài liệu Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Set Theory pptx

Cơ khí - Chế tạo máy

... functions and conditional mass functions using Equations 14.10 and 14.14 Finally, the fuzzy transition probability and limiting fuzzy transition probability can be calculated using Equations 14.42 and ... ∩ g ′) = 0.3 Hence, the conditional fuzzy degree of g/g′ is [0.3, 0.7] 14.3 Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Sets 14.3.1 Using Fuzzy Systems to Describe the State ... network searching, and fuzzy logic operations depending on the inverse of the relationship In the following subsection, we will show how to use fuzzy set theory to establish a fuzzy relationship...
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C++ Neural Networks and Fuzzy Logic pptx

C++ Neural Networks and Fuzzy Logic pptx

Kỹ thuật lập trình

... Neural Networks and Fuzzy Logic: Preface Chapter 3—A Look at Fuzzy Logic Crisp or Fuzzy Logic? Fuzzy Sets Fuzzy Set Operations Union of Fuzzy Sets Intersection and Complement of Two Fuzzy Sets Applications ... Hopfield and the approach of Kohonen • Chapter 16 treats two application areas of fuzzy logic: fuzzy control systems and fuzzy databases This chapter also expands on fuzzy relations and fuzzy set ... Networks and Fuzzy Logic: Preface H Rao ViaSW@aol.com Table of Contents Copyright © IDG Books Worldwide, Inc Preface C++ Neural Networks and Fuzzy Logic: Preface C++ Neural Networks and Fuzzy Logic...
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cirstea, m. n. (2002). neural and fuzzy logic control of drives and power systemsl

cirstea, m. n. (2002). neural and fuzzy logic control of drives and power systemsl

Điện - Điện tử

... Historical review Fuzzy sets and fuzzy logic Types of membership functions Linguistic variables Fuzzy logic operators Fuzzy control systems Fuzzy logic in power and control applications ... the logic level control and/ or protection circuitry with power handling capability of supplying A and withstanding at least 100 V With the current 22 Neural and Fuzzy Logic Control of Drives and ... drains and sources) are accessible Gate arrays are available for 14 Neural and Fuzzy Logic Control of Drives and Power Systems both single-layer and multilayer metallisation To design an ASIC using...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article An Action Recognition Scheme Using Fuzzy Log-Polar Histogram and Temporal Self-Similarity" pptx

Hóa học - Dầu khí

... symmetric matrix 4.3 Fusing Global Features and Local Features It emerges from the discussion in the previous subsections that the features extracted using fuzzy log-polar histograms and temporal self-similarities ... respectively, and Lx and L y are the derivatives of the scalespace representation L(·; σd ) of the image with respect to x and y directions, respectively The local derivatives are computed using Gaussian ... Preprocessing and Keypoint Detection For later successful feature extraction and classification, it is important to preprocess all video sequences to remove noisy, erroneous, and incomplete data and to...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum" pptx

Báo cáo khoa học

... an improvement between 3–5 dB) and providing more precise answers We have implemented our method using Matlab functions and tested it on 80 randomly selected standard images of 256 × 256 pixels ... the following sections we propose a novel, simple, and robust algorithm based on Radon transform and fuzzy sets to estimate motion direction and length, respectively 4.1 Motion direction estimation ... degraded by L = 20 pixels, φ = 60◦ and Gaussian additive noise (SNR = 30 dB) Estimated values for this image using our algorithm were L = 21.8 pixels and φ = 58.7◦ standard deviation of errors show...
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FUZZY LOGIC – ALGORITHMS, TECHNIQUES AND IMPLEMENTATIONS ppt

FUZZY LOGIC – ALGORITHMS, TECHNIQUES AND IMPLEMENTATIONS ppt

Kỹ thuật lập trình

... Judgment: Fuzzy Set Model and Data Analysis From Fuzzy Datalog to Multivalued Knowledge-Base Resolution Principle and Fuzzy Logic Standard Fuzzy Sets and Some Many-Valued Logics Parametric Type-2 Fuzzy ... chapters that focus on fuzzy logic modeling and implementations, particularly: Fuzzy Logic Approach for QoS Routing Analysis Term Weighting for Information Retrieval using Fuzzy Logic Artificial Intelligence ... Multiobjective fuzzy linear regression analysis for fuzzy input-output data Fuzzy Sets and Systems, 47, 173–181 24 Fuzzy Logic – Algorithms, Techniques and Implementations Sherif,M.,& Hovland,C,I (1961)...
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FUZZY LOGIC – ALGORITHMS, TECHNIQUES AND IMPLEMENTATIONS potx

FUZZY LOGIC – ALGORITHMS, TECHNIQUES AND IMPLEMENTATIONS potx

Điện - Điện tử

... Judgment: Fuzzy Set Model and Data Analysis From Fuzzy Datalog to Multivalued Knowledge-Base Resolution Principle and Fuzzy Logic Standard Fuzzy Sets and Some Many-Valued Logics Parametric Type-2 Fuzzy ... chapters that focus on fuzzy logic modeling and implementations, particularly: Fuzzy Logic Approach for QoS Routing Analysis Term Weighting for Information Retrieval using Fuzzy Logic Artificial Intelligence ... Multiobjective fuzzy linear regression analysis for fuzzy input-output data Fuzzy Sets and Systems, 47, 173–181 24 Fuzzy Logic – Algorithms, Techniques and Implementations Sherif,M.,& Hovland,C,I (1961)...
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algebraic aproach to meaning of  linguistic terms, fuzzy logic and  approximate reasoning

algebraic aproach to meaning of linguistic terms, fuzzy logic and approximate reasoning

Tin học

... paper Fuzzy sets, Information and Control (1965)”, Fuzzy sets were introduced to model the meaning of linguistic terms of natural languages - Allow manipulate and process fuzzy, uncertain and inexact ... representing logical connectives Given fuzzy sets A and B - AND, OR, NEGATION by Union, Intersection and Complement - If X is A then Y is B : A ⇒ B µ A⇒ B (u,v) = µ A(u) → * µ A(v) , where → * is a logical ... dependency between physical variables Xj and Y linguistically: If X1 = A11 and and Xm = A1m then Y = B1 If X1 = An1 and and Xm = Anm then Y = Bn It is called a fuzzy model representing expert knowledge...
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Human behavioral modeling using fuzzy and dempster–shafer theory

Human behavioral modeling using fuzzy and dempster–shafer theory

Kỹ thuật lập trình

... three candidates we are able to conclude that Red will support low interest rates and White will support high interest rates For the candidate 92 Human Behavioral Modeling Using Fuzzy and Dempster–Shafer ... Modeling Using Fuzzy and Dempster–Shafer Theory membership grade B (x) = -B(x) Using these we extend the concepts of plausibility and belief If m is a belief structure on X with focal fuzzy elements ... elements A and X and where m(A) = α and m(X) = The information that the probability of A is exactly α can be represented as a belief structure m with focal elements A and A where m(A) = α and m(A)...
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Analysis and applications of the km algorithm in type 2 fuzzy logic control and decision making

Analysis and applications of the km algorithm in type 2 fuzzy logic control and decision making

Y - Dược

... type-1 fuzzy logic system Figure 2.9: The structure of type-1 fuzzy logic system In type-1 fuzzy logic system, the antecedent and consequent sets are type-1 fuzzy sets; while in a type-2 fuzzy logic ... understanding of the theory of type-2 fuzzy logic, Chapter provides a brief description of the fundamental theory of type-2 fuzzy logic including the basics of type-2 fuzzy set and type-2 fuzzy logic ... a fuzzy set between and enables a fuzzy set to better model uncertainties and minimize the effect of the uncertainties A widely adopted reasoning method in the theory of fuzzy logic is fuzzy logic...
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Design and analysis of type 2 fuzzy logic systems

Design and analysis of type 2 fuzzy logic systems

Tổng hợp

... Introduction 1.1 Type-1 Fuzzy Logic 1.2 Type-1 Fuzzy Modeling and Control: A Review 1.3 Type-2 Fuzzy Logic 1.4 Aims and Scope of This ... cumbersome, costly, and time-consuming • A fuzzy model can be obtained by using available measurements and using identification methods, e.g., clustering methods to find the parameters and fuzzy terms ... fuzzy logic principles are used to combine the fuzzy IF-THEN rules in the fuzzy rule base into a mapping from the fuzzy sets in U to fuzzy sets in V The defuzzifier performs a mapping from fuzzy...
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Fuzzy logic in embedded microcomputers and control systems

Fuzzy logic in embedded microcomputers and control systems

Điện - Điện tử

... inherent reliability and self scaling aspects of fuzzy logic are becoming important and may in fact be the over riding reason for the use of fuzzy logic Byte Craft Limited i Fuzzy Logic in Embedded ... Janusz and Yager, Ronald R., ed., "Management decision support systems using fuzzy sets and possibility theory", Kaufmann, Arnold and Gupta, Madan M., "Introduction to Fuzzy Arithmetic, Theory and ... Journals on Fuzzy Logic "Fuzzy Sets and Systems", North-Holland, Amsterdam, (started in 1978) Article References "Fuzzy sets as a basis for a theory of possibility.", Lofti Zadeh, Fuzzy Sets and Sytems...
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 Áp dụng Fuzzy logic trong điều khiển SVC trên lưới điện

Áp dụng Fuzzy logic trong điều khiển SVC trên lưới điện

Thạc sĩ - Cao học

... 3: Áp dụng fuzzy logic điều khiển SVC CHƯƠNG ÁP DỤNG FUZZY LOGIC ĐIỀU KHIỂN SVC 3.1 Fuzzy Logic Những năm gần chứng kiến phát triển nhanh chóng số lượng ứng dụng nhiều lĩnh vực khác fuzzy Khái ... khác fuzzy Khái niệm chung Fuzzy logic có hai cách hiểu Theo nghĩa hẹp, fuzzy logic mở rộng hệ thống logic nhiều giá trị Nhưng theo nghĩa rộng sử dụng ngày hôm nay, fuzzy logic gần đồng nghĩa với ... nay, fuzzy logic gần đồng nghĩa với lý thuyết tập mờ 3.1.1 Nền tảng fuzzy logic Nền tảng fuzzy logic bao gồm :  Toán tử logic (Logical Operation)  Luật điều khiển (If-Then Rule) 3.1.1.1 Tập mờ...
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