Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing
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Published By Springer International Publishing

9783319322278, 9783319322292

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A Fuzzy Multiagent Approach for Integrated Product Life Cycle Environment

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_8 ◽

2016 ◽

pp. 99-110

Author(s):

V. V. Taratukhin ◽

Y. V. Yadgarova ◽

E. Y. Skachko

Keyword(s):

Life Cycle ◽

Product Life Cycle ◽

Product Life

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Learning User Intentions in Natural Language Call Routing Systems

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_4 ◽

2016 ◽

pp. 37-46 ◽

Cited By ~ 3

Author(s):

Kamil Aida-zade ◽

Samir Rustamov

Keyword(s):

Natural Language ◽

Call Routing ◽

User Intentions

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Models for Indicating the Period of Failure of Industrial Objects

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_27 ◽

2016 ◽

pp. 389-405 ◽

Cited By ~ 1

Author(s):

T. A. Aliev ◽

N. F. Musaeva ◽

O. Q. Nusratov ◽

A. G. Rzayev ◽

U. E. Sattarova

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On the Concept of Big Data Analysis

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_19 ◽

2016 ◽

pp. 269-277

Author(s):

A. B. Pashayev ◽

E. N. Sabziev

Keyword(s):

Big Data ◽

Data Analysis ◽

Big Data Analysis

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Synthesis and Optimization of Fuzzy Controller for Thermoacoustic Plant

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_31 ◽

2016 ◽

pp. 453-467 ◽

Cited By ~ 5

Author(s):

Y. P. Kondratenko ◽

O. V. Korobko ◽

O. V. Kozlov

Keyword(s):

Fuzzy Controller

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A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_13 ◽

2016 ◽

pp. 171-184 ◽

Cited By ~ 1

Author(s):

Jonathan Amezcua ◽

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Neural Network ◽

Vector Quantization ◽

Multiclass Classification ◽

Learning Vector Quantization ◽

Modular Approach

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A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System Used for Dynamic Parameter Adaptation in Particle Swarm Optimization

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_26 ◽

2016 ◽

pp. 373-385

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Particle Swarm Optimization ◽

Comparative Study ◽

Fuzzy System ◽

Particle Swarm ◽

Dynamic Parameter ◽

Membership Functions ◽

Swarm Optimization ◽

Parameter Adaptation ◽

Interval Type

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Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_6 ◽

2016 ◽

pp. 71-86

Author(s):

Gabriela E. Martínez ◽

Olivia Mendoza ◽

Juan R. Castro ◽

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Neural Networks ◽

Integration Method ◽

Choquet Integral ◽

Modular Neural Networks ◽

Interval Type

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Classification of Air Quality Monitoring Stations Using Fuzzy Similarity Measures: A Case Study

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_34 ◽

2016 ◽

pp. 489-501 ◽

Cited By ~ 1

Author(s):

Kamal Jyoti Maji ◽

Anil Kumar Dikshit ◽

Ashok Deshpande

Keyword(s):

Air Quality ◽

Similarity Measures ◽

Quality Monitoring ◽

Air Quality Monitoring ◽

Fuzzy Similarity ◽

Air Quality Monitoring Stations ◽

Monitoring Stations

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Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognition

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-319-32229-2_10 ◽

2016 ◽

pp. 127-139

Author(s):

Daniela Sánchez ◽

Patricia Melin ◽

Oscar Castillo

Keyword(s):

Pattern Recognition ◽

Fuzzy Systems

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Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft ComputingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Fuzzy Multiagent Approach for Integrated Product Life Cycle Environment

Learning User Intentions in Natural Language Call Routing Systems

Models for Indicating the Period of Failure of Industrial Objects

On the Concept of Big Data Analysis

Synthesis and Optimization of Fuzzy Controller for Thermoacoustic Plant

A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach

A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System Used for Dynamic Parameter Adaptation in Particle Swarm Optimization

Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks

Classification of Air Quality Monitoring Stations Using Fuzzy Similarity Measures: A Case Study

Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognition

Recent Developments and New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing
Latest Publications