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دسته بندی: سایبرنتیک: هوش مصنوعی ویرایش: نویسندگان: María Eugenia Cornejo, László T. Kóczy, Jesús Medina-Moreno, Juan Moreno-García سری: Studies in Computational Intelligence, 955 ISBN (شابک) : 3030888169, 9783030888169 ناشر: Springer سال نشر: 2022 تعداد صفحات: 231 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 5 مگابایت
در صورت تبدیل فایل کتاب Computational Intelligence and Mathematics for Tackling Complex Problems 2 به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب هوش محاسباتی و ریاضیات برای مقابله با مسائل پیچیده 2 نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب نسخههای نهایی مقالات با بالاترین کیفیت ارائه شده در کنفرانس یازدهمین سمپوزیوم اروپایی هوش محاسباتی و ریاضیات را که در تاریخ ۲ تا ۵ اکتبر ۲۰۱۹ در تولدو (اسپانیا) برگزار شد، گردآوری میکند. تلفیق علوم محاسباتی با ابزارهای مختلف ریاضی به منظور حل چالشهای مختلف که در حوزههای دانش گسترده به وجود میآیند ضروری است. امروزه، بسیاری از خطوط تحقیقاتی امیدوارکننده در این راستا از منظر نظری و کاربردی توسعه مییابند.
در این نشریه، هوش محاسباتی و ریاضیات در کارهای تحقیقاتی جالبی با هم ترکیب شدهاند. به مسائل پیچیده واقعی پاسخ دهید. علاوه بر این، برنامه فنی این کنفرانس شامل چهار سخنرانی کلیدی عالی بود که توسط پروفسور خوزه لوئیس وردگای (رهنمودهایی برای حل مشکلات تصمیم گیری)، پروفسور ژوائو پائولو کاروالیو (سیستم های توصیه کننده: استفاده از اثر انگشت فازی برای توصیه های "مناسب") ارائه شد. دکتر Andreja Tepavcevic (ساختارهای با ارزش شبکه ویژه و جواب های تقریبی معادلات خطی) و پروفسور Juan Moreno-Garcia (تولید توصیفات زبانی با استفاده از شبکه های پتری زبانی).
This book collects the final versions of the highest quality papers presented at the conference 11th European Symposium on Computational Intelligence and Mathematics held on October 2–5, 2019, in Toledo (Spain). The conjugation of computational sciences with different mathematical tools is essential in order to solve different challenges that arise in a wide-ranging knowledge areas. Nowadays, many promising research lines are being developed in this direction from the theoretical and applicational perspectives.
In this publication, computational intelligence and mathematics are combined in interesting research works that aim to give answers to complex real problems. Moreover, the technical program of this conference included four excellent keynote speeches, given by Prof. José Luis Verdegay (Guidelines to solve Decision Making Problems), Prof. Joao Paulo Carvalho (Recommender Systems: Using Fuzzy Fingerprints for ``Proper'' Recommendations), Dr. Andreja Tepavcevic (Special lattice valued structures and approximate solutions of linear equations), and Prof. Juan Moreno-Garcia (Generating linguistic descriptions using Linguistic Petri Nets).
Preface Contents A New Exploitation Scheme in the Context of Bipolar Classifiers 1 Introduction 2 Bipolar Knowledge Representation in Supervised Classification 3 A New CART-Based Approach to Exploit Bipolar Scores 4 Experimental Study 5 Concluding Remarks References Dynamic Maximal Covering Location Problem with Facility Types and Time Dependent Availability 1 Introduction 2 Dynamic Maximal Covering Location Problem with Facility Types and Time Dependent Availability 3 Two Illustrative Examples 4 Final Comments References Implicative Linguistic Summaries 1 Introduction 2 Linguistic Summaries 3 Computing the Validity of Linguistic Summaries 4 Conclusions and Future Work References Comparison of Discrete Memetic Evolutionary Metaheuristics for TSP 1 Introduction 2 Increasing Number of Existing Metaheuristics 3 Common Parts of the Algorithms 4 Analized Discrete Memetic Evolutionary Metaheuristics and Other Algorithms, Which Are Applied for TSP 5 The Applied Simulation Test Methods 6 TSP Instances 7 Results of the Simulation and Its Conclusions 8 Future Research Opportunities References Syntactic Analysis of Sentences Using Deep Neural Networks 1 Introduction 2 Detection of Sentence Components Using Deep Learning Models 3 Experimental Results 4 Conclusions and Future Works References Estimating Remaining Time of Business Processes with Structural Attributes of the Traces 1 Introduction 2 A New Prediction Model for Remaining Time Estimation 2.1 Definition of Attributes 2.2 Extended Annotated Transition System 3 Experimental Validation and Conclusions References Convolutional Neural Networks in the Ovarian Cancer Detection 1 Introduction 2 Histopathological Preliminaries 3 Data Pre-procesing and Convolutional Neural Network 4 Numerical Results 5 Conclusions References Analyzing the Performance of TSP Solver Methods 1 Introduction 2 Computational Results 2.1 Comparison of Tour Lengths Found by the TSP Solver Algorithms 2.2 Fitting Curves to the Run Times of the Algorithms 3 Conclusion References A Fuzzy Model to Aggregate Performance Indicators in Sports 1 Introduction 2 Background 2.1 Type-1 OWA Aggregation Operator 3 Methodology 4 Case of Study 5 Conclusions and Future Work References Formal Analysis of Solar Power and Weather Data 1 Introduction 2 Preliminary Concepts 2.1 Multi-adjoint Formal Concept Analysis 2.2 Open Data and JavaScript Object Notation 3 From Open Data to Formal Contexts 4 Study of Environmental States 4.1 General Study of Environmental States 4.2 Particular Study of Environmental States 5 Analysis of Energy Production 6 Conclusions and Future Work References A New Community Detection Problem Based on Bipolar Fuzzy Measures 1 Introduction 2 Community Detection Problems over Extended Fuzzy Graphs 3 An Adaptation of Louvain Algorithm for Extended Bipolar Fuzzy Graphs 4 Conclusions References Novel Methods of FCM Model Reduction 1 Introduction 1.1 Quick Overview of Fuzzy Cognitive Maps 1.2 The Motivating Problem: Waste Management System 1.3 Existing Model Reduction Methods 1.4 Model Reduction Technique Based on Fuzzy Tolerance Relations 2 Further Clustering-Based Model Reduction Techniques 2.1 K-Means-Based Method 2.2 Fuzzy C-Means-Based Method 3 Results 3.1 A Basic Example of Model Reduction 3.2 Reduction of the Waste Management Model 4 Conclusions References Some Implications of Interval Approach to Dimension for Network Complexity 1 Introduction 2 Quasiorthogonal Dimension 3 Computation of Finite Mappings by Feedforward Networks 4 Bounds on Approximate Measure of Network Sparsity 5 Discussion References Social Indexes Segregation Based on MEOWA and MOOWA Aggregation Operators 1 Introduction 2 OWA and MEOWA Aggregation Operators 3 MOOWA Aggregation Operators 4 Social Indexes Segregation Based on MEOWA, MOOWA and OWA Aggregation Operators 5 Final Remarks References Combining Conceptual Graphs and Sentiment Analysis for Fake News Detection 1 Introduction 2 Related Work 3 Framework Architecture 4 Experiments 4.1 System Initialization 4.2 Evaluation of New Content 5 Conclusions References A Weakened Notion of Congruence to Reduce Concept Lattices 1 Introduction 2 Preliminaries 3 Local congruences 4 Conclusions and Future Work References Interactive Search by Using Minimal Generators 1 Introduction 2 Preliminaries 3 Using Minimal Generators as Forks 4 Conclusions and Future Works References Knowledge Implications in Multi-adjoint Concept Lattices 1 Introduction 2 Preliminaries 3 Knowledge-Implications in Multi-adjoint Concept Lattices 4 Conclusions and Future Works References Fuzzy Decision Support Methodology for Sustainable Packaging System Design 1 Introduction 1.1 General Introduction and Motivation 1.2 Structure of the Paper 1.3 Literature Review 1.4 Preliminaries of the Research 2 Methodology Applied 2.1 The Fuzzy Signature Model 3 Results 3.1 External Factors 3.2 Main Aspects 3.3 Aggregation Operators 4 Conclusions and Future Research References Some Relationships Between the Notions of f-Inclusion and f-Contradiction 1 Introduction 2 Preliminaries 2.1 Basic Notions About Fuzzy Sets 2.2 -Indexes of Inclusion 2.3 -Indexes of Contradiction 3 Relationships Between f-Contradiction and f-Inclusion 3.1 From f-Inclusion to f-Contradiction 3.2 From f-Contradiction to f-Inclusion 4 Conclusion and Future Work References Decomposition Integrals for Interval-Valued Functions 1 Introduction 2 Preliminaries 3 Aumann-Like Decomposition Integral 4 Direct Modification of Definition 5 Concluding Remarks References Relational Powerset Theories 1 Introduction 2 Relational Powerset Theory 3 Conclusions References On Some Categories Underlying Knowledge Graphs 1 Introduction 2 RDFData in a Nutshell 3 Constructing Categories on RDF-Based Graphs 3.1 Category of RDF Triples: RdfT 3.2 Introducing Formal Contexts and Isotone Galois Connections 3.3 Construction of RDF Power Set Category 4 Conclusions and Future Work References On Two Categories of Many-Level Fuzzy Morphological Spaces 1 Introduction 2 Many-Level L-fuzzy Relations 3 Image and Preimage Operators on L-fuzzy Powersets Induced by Many-Level L-fuzzy Relations 4 Operators of Many-Level Fuzzy Erosion and Dilation 4.1 Many-Level Fuzzy Erosion 4.2 Many-Level Fuzzy Dilation 5 Categories of Many-Level Fuzzy Morphological Spaces 5.1 Category E of Many-Valued Erosion Spaces 5.2 Category Δ of Many-Valued Fuzzy Dilation Spaces 5.3 Categories EΔ-1 and E-1Δ 6 Conclusion References Congruences on Lattices and Lattice-Valued Functions 1 Introduction 2 Preliminaries 3 Results 3.1 Complete Congruences on L Induced by L-Valued Functions 3.2 From Congruences to Residuated Maps 3.3 Representation of Finite Lattices 4 Conclusion References Some Roughness Features of Fuzzy Sets 1 Introduction 2 Preliminary Notions 3 Rough Numbers 4 Rough Real Functions 4.1 Rough Continuity–Discontinuity 4.2 Pointwise Lower and Upper Approximations of Real Functions 5 Fuzzy Sets from the Point of View of Rough Calculus 6 Conclusion References Author Index