• No results found

type-2 fuzzy logic

An Optimized Interval Type 2 Fuzzy Logic Control Scheme based on Optimal Defuzzification

An Optimized Interval Type 2 Fuzzy Logic Control Scheme based on Optimal Defuzzification

... Oscar Castillo led the way in the field of T1 and T2 FLS optimization by using bio-inspired algorithms. In his paper with Valdez and Melin [27], they described a new hybrid approach for mathematical function optimization ...

6

Learning of interval and general type 2 fuzzy logic systems using simulated annealing: theory and practice

Learning of interval and general type 2 fuzzy logic systems using simulated annealing: theory and practice

... design fuzzy logic systems by search- ing for the best configurations of these ...with fuzzy systems is that it does not require the existence of mathematical properties such as differentiability in ...

35

Improving security requirements adequacy: an interval type 2 fuzzy logic security assessment system

Improving security requirements adequacy: an interval type 2 fuzzy logic security assessment system

... network type, the password (Pwd), the logout timer (Timer), the total number of participants per scenario, and the percent agreement, which is the total number of overall ratings that match the ratings produced by ...

8

Interval Type 2 Fuzzy Logic Control of Mobile Robots

Interval Type 2 Fuzzy Logic Control of Mobile Robots

... by fuzzy logic, all the cited forms of uncertainties will be multiplied over fuzzi- fication, inference and ...controller. Type-2 fuzzy logic has been used by researchers to try ...

12

Identification of Question and Non Question Segments in Arabic Monologues Using Prosodic Features: Novel Type 2 Fuzzy Logic and Sensitivity Based Linear Learning Approaches

Identification of Question and Non Question Segments in Arabic Monologues Using Prosodic Features: Novel Type 2 Fuzzy Logic and Sensitivity Based Linear Learning Approaches

... powerful type-2 fuzzy logic systems (type-2 FLS) and the other on the use of the discriminative sensitivity-based linear learning method ...the type-2 FLS ...

11

Handling Uncertain Leases in Infrastructure as a Service Clouds

Handling Uncertain Leases in Infrastructure as a Service Clouds

... There are hundreds of examples available for use of fuzzy and neural based systems for working with the industrial and technical applications [6]. Industrial applications like fire zone control, waste water ...

5

Interval type 2 intuitionistic fuzzy logic system for non linear system prediction

Interval type 2 intuitionistic fuzzy logic system for non linear system prediction

... interval type-2 intuitionistic fuzzy logic system (IT2IFLS) of Takagi-Sugeno-Kang (TSK) fuzzy ...a type-1 fuzzy logic approach and some interval ...

6

Fuzzy Assessment Methods

Fuzzy Assessment Methods

... different fuzzy assessment models focusing to the quality performance of a system, including the newly created trapezoidal ...(Section 2), and the trapezoidal fuzzy assessment model (TRFAM) (Section ...

6

Development of Interest in Science and Interest in Teaching Elementary Science: Influence of Informal, School,  and Inquiry Methods Course Experiences

Development of Interest in Science and Interest in Teaching Elementary Science: Influence of Informal, School, and Inquiry Methods Course Experiences

... the fuzzy sets and MFs are specified for all the fuzzy linguistic ...two fuzzy sets. The fuzzy system has one output represented by 16 fuzzy sets according to Mamdani fuzzy model ...

127

: Fuzzy Decision making, Fuzzy Logic, Target Tracking with 2-D Radars

: Fuzzy Decision making, Fuzzy Logic, Target Tracking with 2-D Radars

... two 2-D Radars deployed in different ships, which are separated ...Each 2-D Radar deployed in the ship tracks the air object, if the air object is within the coverage ...that fuzzy systems perform ...

5

Optimal Design of Photovoltaic–Battery Systems Using Interval Type 2 Fuzzy Adaptive Genetic Algorithm

Optimal Design of Photovoltaic–Battery Systems Using Interval Type 2 Fuzzy Adaptive Genetic Algorithm

... The use of renewable energy resources has mapped in many developed countries. One of the most promising technologies among renewable energy resources is Photovoltaic (PV). PV technology is growing rapidly in developed ...

6

Type 2 Fuzzy Point

Type 2 Fuzzy Point

... of type-2 fuzzy point in the formation of type-2 fuzzy open sets such as type-2 fuzzy δ  -closed set this important role make the main objective of this ...

6

Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process

Perpetual Learning Framework based on Type-2 Fuzzy Logic System for a Complex Manufacturing Process

... 2006), fuzzy rule- based systems (FRBS) (Jang and Sun, 1996), and evolutionary and genetic algorithms (GAs) (Yang et ...methodologies, fuzzy rule- based systems offer good level of transparency and ...

7

Adaptive Self‐Tuning Fuzzy Controller for a Soft Rehabilitation Machine Actuated by Pneumatic Artificial Muscles

Adaptive Self‐Tuning Fuzzy Controller for a Soft Rehabilitation Machine Actuated by Pneumatic Artificial Muscles

... and fuzzy sliding-mode conroller associated with fixed fuzzy rules and scaling factors were implemented on an Intel Pentium ...fixed fuzzy rules of the FSMC are presented in Figure ...

13

Automatic room temperature control

Automatic room temperature control

... years, Fuzzy Logic Control (FLC) [45] and Artificial Neural Network (ANN) [33], the branches of Artificial Intelligence (AI), have traced considerable attention as candidates for novel computational systems ...

40

Type 2 fuzzy elliptic membership functions for modeling uncertainty

Type 2 fuzzy elliptic membership functions for modeling uncertainty

... Fuzzy logic has had a significant impact on identification and control prob- lems since it was firstly proposed by Zadeh in 1965 ...[1]. Fuzzy logic owes its exceptional scientific reputation ...

38

An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis

An Interval Type-2 Fuzzy Logic Approach for Instrument Fault Detection and Diagnosis

... In a GPU each SGC trip implies in at least two hours of shutdown until the SGC system can be restarted, which represents a cost of thousands of dollars for the company. This work shows the potentiality, simplicity and ...

5

Contrasting singleton type 1 and interval type 2 non singleton type 1 fuzzy logic systems

Contrasting singleton type 1 and interval type 2 non singleton type 1 fuzzy logic systems

... In this work, different versions of the training and the testing data are generated, i.e. the data is corrupted with a zero-mean uniform noise for different SNRs. We use 12 noise levels in training and testing data. ...

8

AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH 
USING NCRR SIMILARITY MEASURE

AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE

... for fuzzy systems to reduce their computational time [9]. Fuzzy systems are computational costly due to their many computation steps and ...of fuzzy systems was performed using openMP through ...

10

Type-2 fuzzy logic control in computer games

Type-2 fuzzy logic control in computer games

... T2 fuzzy moon landing system was able to pilot the spaceship to the dock without a crash for all testing scenarios while T1 and conventional PD controller structures crashed the spaceship in three of ...T1 ...

20

Show all 10000 documents...

Related subjects