15fuzzy sets and fuzzy logic

... 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 ... from data sets (+++) Fuzzy Logic Explicit, verification and optimization easy and efficient (+++) None, you have to define everything explicitly (-) Figure 13: Both neural nets and fuzzy logic have ... strengths and weaknesses In simple words, both neural nets and fuzzy logic are powerful design techniques that have its strengths and weaknesses Neural nets can learn from data sets while fuzzy logic...

Ngày tải lên: 13/12/2013, 01:15

... 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 ... from data sets (+++) Fuzzy Logic Explicit, verification and optimization easy and efficient (+++) None, you have to define everything explicitly (-) Figure 13: Both neural nets and fuzzy logic have ... strengths and weaknesses In simple words, both neural nets and fuzzy logic are powerful design techniques that have its strengths and weaknesses Neural nets can learn from data sets while fuzzy logic...

Ngày tải lên: 22/12/2013, 10:15

... 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...

Ngày tải lên: 23/03/2014, 22:21

... two fuzzy sets A and B find Complement, Union, ∼ ∼ Intersection, Difference, and De Morgan’s law 24 Classical Sets and Fuzzy Sets m m A ~ A ~ A A ~ ~ x Fuzzy set A and its complement ~ x Fuzzy ... 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 sets ... overlap in the middle Fuzzy rule base Fuzzy sets in X Fuzzy inference engine Fuzzy sets in Y Fig 1.4 Configuration of a pure fuzzy system membership and non-membership Thus, a fuzzy set works as...

Ngày tải lên: 08/04/2014, 10:12

... 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 ... device nodes (gates, 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...

Ngày tải lên: 18/04/2014, 12:29

... 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 ... images and the use of fuzzy sets in motion length estimation are addressed in Section Experimental results are provided in Section In Section 6, we compare our method with other methods and finally ... 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...

Ngày tải lên: 22/06/2014, 23:20

... 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 ... 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) ... Habiballa Chapter Standard Fuzzy Sets and some Many-Valued Logics Jorma K Mattila Chapter Parametric Type-2 Fuzzy Logic Systems Arturo Tellez, Heron Molina, Luis Villa, Elsa Rubio and Ildar Batyrshin...

Ngày tải lên: 27/06/2014, 00:20

... 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 ... 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) ... Habiballa Chapter Standard Fuzzy Sets and some Many-Valued Logics Jorma K Mattila Chapter Parametric Type-2 Fuzzy Logic Systems Arturo Tellez, Heron Molina, Luis Villa, Elsa Rubio and Ildar Batyrshin...

Ngày tải lên: 28/06/2014, 14:20

... 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 ... Denote the set of all fuzzy sets on U by F(U,[0,1]) July 1, 2014 Fuzy Sets: An Overview + Fuzzy Sets Operations Given fuzzy sets A and B Union: A ∪ B µ A∪ B (u) = µ A(u) ∨ µ A(u) Intersection: A ∩...

Ngày tải lên: 01/07/2014, 12:33

... 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 system, antecedent and consequent sets are type-2 fuzzy ... input fuzzy sets Rules are expressed into IF-THEN statement relating antecedent sets and consequent sets In the inference engine, the operations between type-1 input fuzzy sets and antecedent sets ... 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...

Ngày tải lên: 09/09/2015, 18:49

... 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 ... function for a type-2 fuzzy set 50 19 µ (x) lower membership function for a type-2 fuzzy set 50 20 F1 , , F9 type-1 fuzzy sets 61 ~ ~ 21 F1 , , F9 type-2 fuzzy sets 61 22 ... 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...

Ngày tải lên: 03/10/2015, 20:57

... 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 sets ... p) and Y l are type-1 fuzzy sets in Ui and V , respectively, and x = (x1 , , xp ) ∈ U1 × U2 × · · · × Up ≡ U and y ∈ V are linguistic variables More specifically, x is the input to the FLS and ... the fuzzy set For type-1 fuzzy sets, the MFs are totally certain The fuzzifier performs a mapping from the crisp input x = (x1 , , xp ) into fuzzy sets in U In the fuzzy inference engine, fuzzy...

Ngày tải lên: 04/10/2015, 10:25

... independent random compact sets and fuzzy random sets Fuzzy Sets and Systems, 159, 24, 3360-3368 [5] Fu, K A and Zhang, L X (2008) Strong limit theorems for random sets and fuzzy random sets with slowly ... S and Ogura, Y (1999) Convergence of set-valued and fuzzy- valued martingales Fuzzy Sets and Systems, 101, 3, 453-461 18 [12] Inoue, H (1995) Randomly weighted sums for exchangeable fuzzy random ... exchangeable random sets in Kuratowski-Mosco sense Stochastic Analysis and Applications, 24, 2, pp 263-275 [15] Kim, Y K (2000) A strong law of large numbers for fuzzy random variables Fuzzy Sets and Systems,...

Ngày tải lên: 16/10/2015, 09:31

... 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 ... 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 ... 02A4 A 02A6 B 02A9 C Fuzzy Logic Preprocessor for C Fuzz-C™ is a stand-alone preprocessor that seamlessly integrates fuzzy logic into the C language Now you can add fuzzy logic to your applications...

Ngày tải lên: 08/03/2016, 11:34

... 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 ... 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; ... applied between the fuzzy sets for each input parameter, and triangular membership functions are used for each fuzzy set (Akgun et al 2012) On the other hand, output set as FFSM and its membership...

Ngày tải lên: 25/04/2016, 07:43

... 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...

Ngày tải lên: 07/11/2012, 10:55

... (M), large (L) generates the inputs and a fuzzy core that performs and extra large (EL) The output variable expresses how quick fuzzyfication, inference and defuzzyfication More in detail, the ... value as (QM) between quick and medium period and (MS) between medium and slow I 990 I I The membership functions for input and output variables are reported in Fig 7, Fig and Fig The amplitude of ... currents and the power factor during the start-up with fuzzy compensation In contrast with Fig 5, obtained without fuzzy logic control, here the reference currents are well smoothed and both...

Ngày tải lên: 03/01/2014, 19:44

... variable to demanded proportional and integral gain The base values for k,i, and kii can he taken from calculated gains for classical PI The proposed FLC has five fuzzy sets for error input and three ... proportional and integral gain, respectively From reference and actual values, by equation (9) and (IO) are made two input variables There is no theoly about how many terms (fuzzy sets) are ... The fuzzy tules are described in TABLE I The tules for kp and ki output are chosen separately The fuzzy rules have been set by formula: R ~ Iiferror, and error change, then kpj : R: if err05 and...

Ngày tải lên: 03/01/2014, 19:46

... hiểu logic mờ (Fuzzy logic) , logic mềm dẻo logic thông thường (logic Boolean) thích hợp toán phức tạp (ví dụ toán coi nóng, lạnh, ấm logic Boolean không đưa kết luận xác được) Từ nguyên tắc fuzzy ... cho mềm dẻo Logic mờ việc xác định lứa tuổi: Boolean Logic Fuzzy Logic Hình 6: Sự khác hai loại Logic việc xác định lứa tuổi Nhìn hình vẽ trên, Boolean Logic (tương ứng với Crisp Sets) quy định ... quan Logic mờ (Fuzzy Logic) , công cụ hỗ trợ bước để thực hệ thống Logic mờ Ngoài ra, trình bày lý thuyết phân tích kỹ thuật chứng khoán Ở phần thí nghiệm, trình bày chi tiết việc áp dụng Logic...

Ngày tải lên: 15/02/2014, 15:10

Ngày tải lên: 20/03/2014, 20:20