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Studies in Computational Intelligence 1061 Oscar Castillo Patricia Melin Editors Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design Studies in Computational Intelligence Volume 1061 Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self- organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. Indexed by SCOPUS, DBLP, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science. · Oscar Castillo Patricia Melin Editors Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design Editors Oscar Castillo Patricia Melin Division of Graduate Studies and Research Division of Graduate Studies and Research Tijuana Institute of Technology Tijuana Institute of Technology Tijuana, Baja California, Mexico Tijuana, Baja California, Mexico ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-031-22041-8 ISBN 978-3-031-22042-5 (eBook) https://doi.org/10.1007/978-3-031-22042-5 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Preface We describe in this book recent developments on fuzzy logic and neural networks, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. There are papers with the main topics of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic theory and their applications. There are also papers that present theory and practice of meta-heuristics in diverse areas of application. There are interesting papers on different applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. In addition, we can find papers describing applications of fuzzy logic, neural networks and meta-heuristics in robotics problems. There are a total of 14 papers forming the book in the above-mentioned topics. In conclusion, the edited book comprises papers on diverse aspects of fuzzy logic, neural networks and nature-inspired optimization meta-heuristics for designing and implementing hybrid intelligent systems and their application in areas , such as intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. We expect that the book will serve as reference for researchers and graduate students working in the theory and applications of the computational intelligence area. Tijuana, Mexico Oscar Castillo Tijuana, Mexico Patricia Melin May 2022 v About This Book This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above- mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which will be of great interest to researchers in these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, that are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students. vii Contents On Decision Making Applications via Distance Measures .............. 1 Feride Tug˘rul and Mehmet Çitil On Intuitionistic Fuzzy Abstract Algebras ........................... 23 Gökhan Çuvalcıog˘lu and Sinem Tarsuslu Generalization of Intuitionistic Fuzzy Submodules of a Module by Using Triangular Norms and Conorms and (T,S)-L Subrings ....... 51 Ümit Deniz Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of Fuzzy Adaptation and Tests on Benchmark Functions and Neural Networks .................................... 69 Enrique Lizarraga, Fevrier Valdez, Oscar Castillo, and Patricia Melin Fuzzy Classifier Using the Particle Swarm Optimization Algorithm for the Diagnosis of Arterial Hypertension ........................... 85 Martha Pulido and Patricia Melin A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem .................................... 105 Miguel Ángel García Morales, Hector Joaquín Fraire Huacuja, Juan Frausto Solís, Laura Cruz Reyes, and Claudia Guadalupe Gómez Santillán A Comparison Between MFCC and MSE Features for Text-Independent Speaker Recognition Using Machine Learning Algorithms .............................................. 123 Joseph Isaac Ramírez-Hernández, Alain Manzo-Martínez, Fernando Gaxiola, Luis C. González-Gurrola, Vania C. Álvarez-Oliva, and Roberto López-Santillán ix x Contents Forecasting Based on Fuzzy Logic of the Level of Epidemiological Risk for the Mexican State of Tamaulipas ............................ 141 Paula Hernández-Hernández and Norberto Castillo-García Bio-inspired Flower Pollination Algorithm for the Optimization of a Monolithic Neural Network .................................... 155 Hector Carreon-Ortiz, Patricia Melin, and Fevrier Valdez Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control ........................................................... 177 Onur Silahtar, Fatih Kutlu, Özkan Atan, and Oscar Castillo Optimizing a Convolutional Neural Network with a Hierarchical Genetic Algorithm for Diabetic Retinopathy Detection ................ 199 Rodrigo Cordero-Martínez, Daniela Sánchez, and Patricia Melin Interval Type-3 Fuzzy Systems: A Natural Evolution from Type-1 and Type-2 Fuzzy Systems .......................................... 209 Oscar Castillo, Juan R. Castro, and Patricia Melin A Comparative Study Between Bird Swarm Algorithm and Artificial Gorilla Troops Optimizer ............................. 223 Ivette Miramontes and Patricia Melin Particle Swarm Optimization of Convolutional Neural Networks for Diabetic Retinopathy Classification .............................. 237 Patricia Melin, Daniela Sánchez, and Rodrigo Cordero-Martínez On Decision Making Applications via Distance Measures Feride Tug˘rul and Mehmet Çitil Abstract Intuitionistic fuzzy sets are an area that has attracted the attention of many researchers recently and is used in many application areas. Researchers have made use of intuitionistic fuzzy sets because of their usefulness in all applications involving decision making. In decision making problems including criteria and alternatives, intuitive fuzzy sets are evaluated with distance measures defined, and more sensitive results are obtained in application areas than many methods. · · · Keywords Fuzzy logic Intuitionistic fuzzy set Decision making Distance measure 1 Introduction The notion of fuzzy logic was firstly defined by Zadeh in 1965 [1]. Then, Intuitionistic fuzzy sets (shortly IFS) were defined by Atanassov [2, 3]. Intuitionistic fuzzy sets form a generalization of the notion of fuzzy sets. The intuitionistic fuzzy set theory is useful in various areas, such as artificial intelligence, engineering, education, algebraic structures, topologic spaces, algebraic structures, control systems, agriculture areas, computer, economy and various engineering fields, real life situations [4–14]. Various applications of intuitionistic fuzzy set have been carried out through distance measures approach [15–20]. Education has many components and is an important issue for the continuity of societies. Each occupational group must complete the training process related to their field. The talents of an individual belonging to a profession and the field in which he/she specializes should be compatible with the needs of the society. Although the basis of success is human, the most important factor affecting success B F. Tug˘rul ( ) · M. Çitil Department of Mathematics, Kahramanmara¸sSütcü˙I mam University, Kahramanmaras¸, Turkey e-mail: [email protected] M. Çitil e-mail: [email protected] © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 1 O. Castillo and P. Melin (eds.), Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design, Studies in Computational Intelligence 1061, https://doi.org/10.1007/978-3-031-22042-5_1