type-1 fuzzy uncertainties
Control Design for Interval Type-2 Fuzzy Systems Under Imperfect Premise Matching
... Type-1 fuzzy sets are able to effectively capture the system nonlinearities but not the ...that type-2 fuzzy sets [28], which extend the capability of type-1 fuzzy ...
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SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES
... different uncertainties in many real- world applications. These uncertainties can be classified into stochastic and nonstochastic uncertainties ...stochastic uncertainties can be captured well ...
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Contrasting singleton type 1 and interval type 2 non singleton type 1 fuzzy logic systems
... these uncertainties. Fuzzy sets (FSs) and fuzzy logic systems (FLSs) are established con- cepts and techniques that have been accepted as methodologies for building systems that can deliver excellent ...
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Asymmetry width probabilistic fuzzy logic system for rigid flexible manipulator modeling
... Type 1 fuzzy set [1] is able to model linguistic variable and it can deal with fuzzy information especially the uncertainties related the ...the uncertainties are very ...
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A Comparison Of Type-1 Fuzzy And Type-2 Fuzzy Methods In Anfis Modelling To Analyze FTSE Bursa Malaysia Kuala Lumpur Composite Index
... and uncertainties, many researchers are focusing on fuzzy ...the Type-2 Fuzzy in ANFIS in this project, it will successful to modelling the FTSE Bursa Malaysia KLCI stock market than ...
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A Multi-Criteria Evaluation for Sustainable Supplier Selection Based on Fuzzy Sets*
... integrated fuzzy multi-criteria evaluation fremework SSS in the context of ...Then, fuzzy TOPSIS method is performed to rank potential suppliers both type-1 fuzzy sets and type-2 ...
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Modeling of Uncertainties using Fuzzy Interval for Enhancement of Images Corrupted by Impulse Noise
... The type-2 fuzzy set is introduced by Zadeh as an extension of type-1 fuzzy set [14-16] which is based upon the concept of taking an interval instead of a crisp value of membership ...
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The asymmetry center probabilistic fuzzy set for forecasting of pledging by warehouse receipt financing in agricultural products
... many uncertainties in real-world applications. Although these uncertainties come from various sources, they share common feature that is stochastic or non-stochastic ...stochastic uncertainties, it ...
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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 and overcome ...
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Application of Type-1 and Type-2 Fuzzy Logic Controller for The Real Swarm Robot
... compare type-1 and type-2 fuzzy logic performance in controlling swarm robot as tools for complex problem modeling, especially for path ...some type of fuzzy logic system. In ...
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Time series forecasting with interval type 2 intuitionistic fuzzy logic systems
... Abstract—Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy ...models. Type-1 models with one index (membership grade) cannot fully handle the ...
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LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... ANFIS, Type-1 Fuzzy Model and Type-2 Fuzzy Model were developed to predict compressive strength of ...different fuzzy model on the performance of concrete strength prediction has ...
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Image Mining Using Disease Accuracy Analysis (Muda)
... 1965[4]. Fuzzy logic systems (FLSs) are well known for their ability to model linguistics and system ...controlling. Type-1 FLSs (T1 FLSs) are the best known and widely used types of ...a ...
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Recruitment Process Based on Computing with Words using Interval Type-2 Fuzzy Set HM Approach
... interval type-2 fuzzification process using the Hao and Mendel algorithm, the data Intervals obtained from the decision makers are the input into this ...number 1 to 4 under data part in Table V represents ...
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Fuzzy Mathematical Models of Type 1 and Type 2 for Computing the Parameters and its Applications
... In the first part of work, we will focus on rule-based FLSs when no uncertainties are present [21], [27]. This is similar to first studying deterministic systems before studying random systems [12]. Then we will ...
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The effect of fuzzy controller on damage of steel structure considering structural uncertainties
... semi-active Fuzzy Logic Controllers (FLC) on the damage imposed on steel structures, considering structural uncertainties, are ...structural uncertainties on the ...of fuzzy controllers, ...
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AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE
... To conduct performance measurement, we developed 25 synthetic models for each of the three types of FIS. These synthetic models were developed based on synthetic datasets. Synthetic datasets contained data points that ...
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Multilayer Fuzzy Extreme Learning Machine Applied to Active classification and Transport of objects using an Unmanned Aerial Vehicle
... and Fuzzy Logic theory (FL), in this paper a Multilayer Fuzzy Extreme Learning Machine (ML-FELM) has been developed with an application to active classification and transport of objects using an indoors ...
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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
Conceptual of Type 2 Fuzzy Geometric Modelling
... characteristics. Type-1 Fuzzy Set Theory (T1FST) is unable to define this complex uncertainty ...problem, Type-2 Fuzzy Set Theory (T2FST) is used due to its ability to define a higher ...
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