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18 results with keyword: 'fuzzy granularity the knowledge based dynamic fuzzy sets'

Fuzzy Granularity in the Knowledge-based 

Dynamic Fuzzy Sets

Since in the knowledge-based dynamic fuzzy sets, a given fuzzy label may have many membership functions provided by knowledge, it is necessary to propose a measure,

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2021
A Method to Construct an Extension of Fuzzy Information Granularity Based on Fuzzy Distance

data sets shows that, the extension fuzzy information granularity is the best one to distinguish fuzzy granular structures and characterize the fineness/coarseness of a fuzzy

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2021
FuzzyNon-monotonicLogic Abstract Keywords : I.I

Keywords : fuzzy Sets, twofold fuzzy sets, non-monotonic reasoning, fuzzy non- monotonic reasoning, incomplete knowledge, FTMS, fuzzy logic programming..

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2022
Liquid Fluoride Thorium Power: Pros and

Pros and Cons of Solar Heating and Cooling Pros and Cons of Concentrating Solar Power Pros and Cons of Solar photovoltaics Pros and Cons of Natural Gas Pros and Cons of Fuel Cell

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2021
TOPICS IN ASTROPARTICLE AND UNDERGROUND PHYSICS

As customary in the series, TAUP 2005 will consist of invited review talks, workshop sessions devoted to specific subjects and poster sessions.. In this edition, TAUP will be

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2021
A new method for estimating patient body weight using CT dose modulation data

Rapid BW calculation based on dose modulation for adult patients may show potential in emergency radiology with respect to drug dosage or dosage of contrast media, which are

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2020
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications

We compare the raw data, Gaussian kernel based fuzzy rough sets, fuzzy information, Pawlak rough sets and neighbor- hood rough sets , triangle similarity based fuzzy rough sets and

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2021
Muscle and not neuronal biomarkers correlate with severity in spinal and bulbar muscular atrophy

To determine whether blood biomarkers of neuronal damage (neuro fi lament light chain [NfL]), muscle damage (creatine kinase [CK]), and muscle mass (creatinine) are altered in spinal

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2020
On characterization of fuzzy η-continuous functions where η∈ {α, p, q, semi, pre, β, strongly pre}

introduced and studied the concepts of C-fuzzy α -open sets,C-fuzzy semi-open sets, C-fuzzy pre-open sets, C-fuzzy β -open sets, C-fuzzy strongly pre-opensets, C-fuzzy

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2020
Computational Intelligence Introduction

I fuzzy inference engine combines the fuzzy IF-THEN rules into a mapping from fuzzy sets in the input space to fuzzy sets in the output space based on fuzzy logic principles.. I If

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2021
CiteSeerX — Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons

His research interests include fuzzy logic theory, extensions of fuzzy sets (type-2 fuzzy sets, interval-valued fuzzy sets, Atanassovs intuitionistic fuzzy sets), fuzzy

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2022
Multi fuzzy sets and their correspondence to other sets

This section discusses the relationship between multi-fuzzy sets and similar sets like intuitionistic fuzzy sets, type 2 fuzzy sets, Obtulowicz’s general multi-fuzzy sets,

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2020
SYSTRAN @ WNGT 2019: DGT Task

In machine translation, the source and target sentences are semantically equivalent to each other, whereas in data-to-text generation, the model initially selects appropriate

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2020
Fuzzy TOPSIS: A General View

Multi-criteria decision making, fuzzy sets, fuzzy MCDM, fuzzy numbers, linguistic variable, intuitionistic fuzzy sets, neutrosophic set, hesitant fuzzy set, fuzzy AHP, fuzzy

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2021
Multi-objective Assignment Problem with Generalized Trapezoidal Fuzzy Numbers

Fuzzy sets; Generalized trapezoidal fuzzy numbers; Multi- objective assignment problem; Priority based fuzzy goal

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2020
Design and implementation of robust and 
		dynamic traffic framework with knowledge based vision computing system

Based on the accurate dynamic traffic density measurement on road, robust and dynamic knowledge based fuzzy controller technique with vision computing to manage

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2020
Backward fuzzy rule interpolation

Pan, “Fuzzy rules interpolation for sparse fuzzy rule-based systems based on interval type-2 Gaussian fuzzy sets and genetic algorithms,” IEEE Trans. Fuzzy

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2021
Fuzzy Conditional Inference and Application to Wireless Sensor Network

Sets Type-2, Fuzzy Quantifiers Sets and α-Cut Fuzzy Sets Fuzzy Temporal Sets, Fuzzy Granular Sets and Fuzzy rough Sets for Incomplete Information“, iFUZZY 2014, 2014 International

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