Applying Fuzzy Logic For The Digital Economy And Society
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Applying Fuzzy Logic for the Digital Economy and Society by Andreas Meier,Edy Portmann,Luis Terán Pdf
This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.
Applying Fuzzy Logic for the Digital Economy and Society by Andreas Meier Pdf
This edited book presents the state-of-the-art of applying fuzzy logic to managerial decision-making processes in areas such as fuzzy-based portfolio management, recommender systems, performance assessment and risk analysis, among others. Presenting the latest research, with a strong focus on applications and case studies, it is a valuable resource for researchers, practitioners, project leaders and managers wanting to apply or improve their fuzzy-based skills.
Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post-COVID Era by Marko Mihić,Sandra Jednak,Gordana Savić Pdf
This book covers high-quality peer-reviewed research papers presented at the 18th International Symposium of Organizational Sciences (SymOrg 2022) held in Belgrade, Serbia, from 11 to 14 June 2022. The aim of the book is providing stimulative framework for readers to explore viable alternatives and indicate implications for the post-pandemic world. Researchers from academia and industry present their original work focusing on different aspects of sustainable management and digital transformation including blockchain technology, business analytics, e-business, innovation, digital operations and logistics management, financial industry, public administration, lean business systems, digital transformation projects, human resources, marketing and communication, and quality and standardization. The chapters could be useful for industry experts, research institutions, universities, and all others who share a common interest in contemporary organizational sciences.
Introduction to Fuzzy Logic by James K. Peckol Pdf
Learn more about the history, foundations, and applications of fuzzy logic in this comprehensive resource by an academic leader Introduction to Fuzzy Logic delivers a high-level but accessible introduction to the rapidly growing and evolving field of fuzzy logic and its applications. Distinguished engineer, academic, and author James K. Peckol covers a wide variety of practical topics, including the differences between crisp and fuzzy logic, the people and professions who find fuzzy logic useful, and the advantages of using fuzzy logic. While the book assumes a solid foundation in embedded systems, including basic logic design, and C/C++ programming, it is written in a practical and easy-to-read style that engages the reader and assists in learning and retention. The author includes introductions of threshold and perceptron logic to further enhance the applicability of the material contained within. After introducing readers to the topic with a brief description of the history and development of the field, Introduction to Fuzzy Logic goes on to discuss a wide variety of foundational and advanced topics, like: A review of Boolean algebra, including logic minimization with algebraic means and Karnaugh maps A discussion of crisp sets, including classic set membership, set theory and operations, and basic classical crisp set properties A discussion of fuzzy sets, including the foundations of fuzzy sets logic, set membership functions, and fuzzy set properties An analysis of fuzzy inference and approximate reasoning, along with the concepts of containment and entailment and relations between fuzzy subsets Perfect for mid-level and upper-level undergraduate and graduate students in electrical, mechanical, and computer engineering courses, Introduction to Fuzzy Logic covers topics included in many artificial intelligence, computational intelligence, and soft computing courses. Math students and professionals in a wide variety of fields will also significantly benefit from the material covered in this book.
The Signed Distance Measure in Fuzzy Statistical Analysis by Rédina Berkachy Pdf
The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy. The proposed method for estimating these intervals is based on the likelihood method and employs the bootstrap technique. A new metric generalizing the signed distance measure is also developed. In turn, the book presents two conceptually diverse applications in which defended intervals play a role: one is a novel methodology for evaluating linguistic questionnaires developed at the global and individual levels; the other is an extension of the multi-ways analysis of variance to the space of fuzzy sets. To illustrate these approaches, the book presents several empirical and simulation-based studies with synthetic and real data sets. In closing, it presents a coherent R package called “FuzzySTs” which covers all the previously mentioned concepts with full documentation and selected use cases. Given its scope, the book will be of interest to all researchers whose work involves advanced fuzzy statistical methods.
Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance by Tom Rutkowski Pdf
The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority of AI models work like black box models. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations. Therefore, the development of artificial intelligence cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.
The Role of Digital Technologies in Shaping the Post-Pandemic World by Savvas Papagiannidis,Eleftherios Alamanos,Suraksha Gupta,Yogesh K. Dwivedi,Matti Mäntymäki,Ilias O. Pappas Pdf
This book constitutes the refereed proceedings of the 21st IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2022, which took place Newcastle-upon-Tyne, UK, in September 2022. The 37 papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections as follows: Artificial intelligence; Data and Analytics; Careers and ICT; Digital Innovation and Transformation; Electronic Services; Health and Wellbeing; Pandemic; Privacy, Trust and Security.
Multi-Criteria Decision Analysis for Risk Assessment and Management by Jingzheng Ren Pdf
This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.
Multi-criteria Decision Making for Smart Grid Design and Operation by Lazar Z. Velimirović,Aleksandar Janjić,Jelena D. Velimirović Pdf
The book is dedicated to the implementation of different multi-criteria decision-making techniques for various problems concerning planning and operation of the smart grid from the Society 5.0 perspective. It consists of a practical explanation of several multi-criteria approaches and examples of their application to real problems. In this book, the choice of the optimal smart grid strategy in planning and operation is made. Various areas of smart grid problems are analyzed, from the smart grid project efficiency assessment to the electric vehicle charging schedule optimization. The comparison of alternatives is made using different techniques taking into account the presence of multiple criteria of both qualitative and quantitative nature, different performance indicators, and the uncertain environment of the smart grid. The book outlines in clear terms how the electricity grid can be modernized in such a way that it monitors, protects, and automatically optimizes the operation of its interconnected elements, taking into account different stakeholders and criteria and society in general. The book covers various smart grid aspects—from the distributed generator through the medium-voltage network and distribution system, to energy storage installations and to end-use consumers and their thermostats, electric vehicles, appliances, and other household devices. The book serves as a practical guide for researchers, energy and utility professionals, power system planners, regulators, policymakers, and others in the field.
Digital Era and Fuzzy Applications in Management and Economy by Martha del Pilar Rodríguez García,Klender Aimer Cortez Alejandro,José M. Merigó,Antonio Terceño-Gómez,Maria Teresa Sorrosal Forradellas,Janusz Kacprzyk Pdf
This book aims to contribute to the discussion about the implications of fuzzy logic, neural networks, digital era, and other intelligent techniques on organizations. This book will be very useful for academic researchers and postgraduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments and developing models to make decisions. Developments in other theories and socioeconomic and computational changes have shed light on the importance of fuzzy applications in social sciences. The treatment of uncertainty in the economic and business analysis is fundamental and requires instruments compatible with the uncertain environment of economics and business, because most of the traditional models have been overtaken by this reality when trying to make decisions with uncertain information. In the face of information technology, digitization, and uncertainty, organizations confront new opportunities and challenges. In order to take advantage of these opportunities and overcome current and future challenges, it is needed to understand the evolution of these phenomenon.
The Application of Fuzzy Logic for Managerial Decision Making Processes by Andreas Meier,Edy Portmann,Kilian Stoffel,Luis Terán Pdf
This book addresses the latest research and applications of fuzzy management methods for business decisions. It showcases a broad set of applications and discusses topics such as measures for the quality of analytics outcomes in big data environments; how fuzzy management methods support the inclusion of human thinking and human behavior in decision making processes; how to generate better results with fuzzy management methods in cases of imprecise information; new personalization concepts enabled by fuzzy logic for the offering of customized products and services especially in the electronic market; and lastly the application of fuzzy analysis for executives using natural rather than computer language. The combination of research papers and case studies makes it a valuable resource both for researchers and practitioners in the digital economy.
Fifty Years of Fuzzy Logic and its Applications by Dan E. Tamir,Naphtali D. Rishe,Abraham Kandel Pdf
This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.
Social Goal-Objective Formation, Democracy and National Interest by Kofi Kissi Dompere Pdf
This book presents the development of a theory of social goal-objective formation and its relationship to national interest and social vision under a democratic decision-choice system with imperfect information structure. It provides a framework for the application of fuzzy logic and its mathematics to the analysis in resolving conflicts in individual preferences in the collective decision-choice space without violence. The book demonstrates how to use fuzzy logic and its mathematics in the study of economics, social sciences and other complex systems. It also presents the use of collaborative tools of opposites, duality, polarity, continuum in fuzzy paradigm with its logic, laws of thought and mathematics in developing a new approach to the theory of political economy in order to enhance the constructs of social decision-choice theory.
Digital Transformation, Cyber Security and Resilience of Modern Societies by Todor Tagarev,Krassimir T. Atanassov,Vyacheslav Kharchenko,Janusz Kacprzyk Pdf
This book presents the implementation of novel concepts and solutions, which allows to enhance the cyber security of administrative and industrial systems and the resilience of economies and societies to cyber and hybrid threats. This goal can be achieved by rigorous information sharing, enhanced situational awareness, advanced protection of industrial processes and critical infrastructures, and proper account of the human factor, as well as by adequate methods and tools for analysis of big data, including data from social networks, to find best ways to counter hybrid influence. The implementation of these methods and tools is examined here as part of the process of digital transformation through incorporation of advanced information technologies, knowledge management, training and testing environments, and organizational networking. The book is of benefit to practitioners and researchers in the field of cyber security and protection against hybrid threats, as well as to policymakers and senior managers with responsibilities in information and knowledge management, security policies, and human resource management and training.
14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 by Rafik A. Aliev,Janusz Kacprzyk,Witold Pedrycz,Mo Jamshidi,Mustafa Babanli,Fahreddin M. Sadikoglu Pdf
This book presents the proceedings of the 14th International Conference on Applications of Fuzzy Systems, Soft Computing, and Artificial Intelligence Tools, ICAFS-2020, held in Budva, Montenegro, on August 27–28, 2020. It includes contributions from diverse areas of fuzzy systems, soft computing, AI tools such as uncertain computation, decision making under imperfect information, deep learning and others. The topics of the papers include theory and application of soft computing, neuro-fuzzy technology, intelligent control, deep learning–machine learning, fuzzy logic in data analytics, evolutionary computing, fuzzy logic and artificial intelligence in engineering, social sciences, business, economics, material sciences and others.