Type-2 fuzzy granular models

In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple appro...

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Bibliographic Details
Main Author: Sanchez, Mauricio A.
Other Authors: Castillo, Oscar, 1959-, Castro, Juan R.
Format: eBook
Language: English
Published: Switzerland : Springer, 2016, ©2017.
Series: SpringerBriefs in applied sciences and technology. Computational intelligence.
Subjects:
Granular computing.
Fuzzy sets.
elektronické knihy
electronic books
ISBN: 9783319412887
9783319412870
Physical Description: 1 online resource

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040 |a IDEBK  |b eng  |e rda  |e pn  |c IDEBK  |d N$T  |d YDX  |d EBLCP  |d GW5XE  |d N$T  |d OCLCF  |d IDB  |d UAB  |d IOG  |d ESU  |d JBG  |d IAD  |d ICW  |d AZU  |d ICN  |d OTZ  |d OCLCQ  |d U3W  |d MERUC  |d CAUOI  |d OCLCQ  |d KSU  |d OCLCQ  |d UKMGB  |d UKAHL  |d OCLCQ 
020 |a 9783319412887  |q (electronic bk.) 
020 |z 9783319412870 
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100 1 |a Sanchez, Mauricio A. 
245 1 0 |a Type-2 fuzzy granular models /  |c Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro. 
264 1 |a Switzerland :  |b Springer,  |c 2016, ©2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in applied sciences and technology, Computational intelligence 
505 0 |a Preface; Contents; 1 Introduction; 2 Background and Theory; 2.1 Granular Computing; 2.2 Information Granule Representations; 2.3 Principle of Justifiable Granularity; 2.4 Data Granulation Algorithms; 2.5 Fuzzy Logic; 2.5.1 Type-1 Fuzzy Sets; 2.5.2 Type-2 Fuzzy Sets; 2.6 Fuzzy Granular Computing; References; 3 Advances in Granular Computing; 3.1 Fuzzy Granular Gravitational Clustering Algorithm; 3.2 Higher-Type Information Granule Formation; 3.2.1 A Hybrid Method for IT2 TSK Formation Based on the Principle of Justifiable Granularity and PSO for Spread Optimization. 
505 8 |a 3.2.2 Information Granule Formation via the Concept of Uncertainty-Based Information with IT2 FS Representation with TSK Consequents Optimized with Cuckoo Search3.2.3 Method for Measurement of Uncertainty Applied to the Formation of IT2 FS; 3.2.4 Formation of GT2 Gaussian Membership Functions Based on the Information Granule Numerical Evidence; References; 4 Experimentation and Results Discussion; 4.1 Granulation Algorithms; 4.2 Higher-Type Information Granule Algorithms; 4.3 Application. General Type-2 Fuzzy Controller; References; 5 Conclusions; Appendix A; Appendix B; Outline placeholder. 
505 8 |a Appendix B.1Appendix B.2; Appendix B.3; Appendix B.4; Appendix B.5; Appendix C; Outline placeholder; Appendix C.1; Appendix C.2; Appendix C.3; Appendix C.4; Appendix C.5; Appendix C.6; Index. 
504 |a Includes bibliographical references. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a In this book, a series of granular algorithms are proposed. A nature inspired granular algorithm based on Newtonian gravitational forces is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based. And a fuzzy granular application comparison is given as to demonstrate the differences in how uncertainty affects the performance of fuzzy information granules. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Granular computing. 
650 0 |a Fuzzy sets. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Castillo, Oscar,  |d 1959- 
700 1 |a Castro, Juan R. 
776 0 8 |i Print version:  |a Sanchez, Mauricio A.  |t Type-2 fuzzy granular models.  |d Switzerland : Springer, 2016, ©2017  |z 9783319412870  |z 3319412876  |w (OCoLC)951761278 
830 0 |a SpringerBriefs in applied sciences and technology.  |p Computational intelligence. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-41288-7  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99311  |d 99311 
993 |x NEPOSILAT  |y EIZ 

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