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Granular Computing

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23-11-2018 | Preface

Special issue on “Type-2 fuzzy systems and granular computing”

Authors: Oscar Castillo, Pranab K. Muhuri

Published in: Granular Computing | Issue 2/2019

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The paradigm of Granular Computing (GC) offers quite an important role to type 2 fuzzy sets (T2 FSs) as the latter is capable to represent uncertain information. The objective of this special issue is to explore the theoretical and pragmatic overview of the intersection of two well-connected disciplines, Granular Computing and type-2 fuzzy sets. The special issue has accommodated five papers on a wide variety of topics ranging from reliability optimization, to student’s strategy evaluation, to fuzzy controllers, to classification problem and modular granular neural networks. …

next article Type-2 fuzzy reliability–redundancy allocation problem and its solution using particle-swarm optimization algorithm

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Title: Special issue on “Type-2 fuzzy systems and granular computing”
Authors: Oscar Castillo
Pranab K. Muhuri
Publication date: 23-11-2018
Publisher: Springer International Publishing
Published in: Granular Computing / Issue 2/2019
Print ISSN: 2364-4966
Electronic ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-018-00145-3

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Other articles of this Issue 2/2019

Pythagorean fuzzy prioritized aggregation operators and their application to multi-attribute group decision making

Optimization of granulation for fuzzy controllers of autonomous mobile robots using the Firefly Algorithm

Computing with words for student strategy evaluation in an examination

Improved possibility degree method for ranking intuitionistic fuzzy numbers and their application in multiattribute decision-making

Type-2 fuzzy reliability–redundancy allocation problem and its solution using particle-swarm optimization algorithm

The determination of three-way decisions with decision-theoretic rough sets considering the loss function evaluated by multiple experts

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