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Applying Fuzzy Logic for the Digital Economy and Society

Applying Fuzzy Logic for the Digital Economy and Society
Author: Andreas Meier
Publisher: Springer
Total Pages: 207
Release: 2019-02-28
Genre: Business & Economics
ISBN: 3030033686

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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

Applying Fuzzy Logic for the Digital Economy and Society
Author: Andreas Meier
Publisher:
Total Pages:
Release: 2019
Genre: Decision making
ISBN: 9783030033699

Download Applying Fuzzy Logic for the Digital Economy and Society Book in PDF, ePub and Kindle

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.


Introduction to Fuzzy Logic

Introduction to Fuzzy Logic
Author: James K. Peckol
Publisher: John Wiley & Sons
Total Pages: 308
Release: 2021-08-02
Genre: Technology & Engineering
ISBN: 1119772613

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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.


Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post-COVID Era

Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post-COVID Era
Author: Marko Mihić
Publisher: Springer Nature
Total Pages: 703
Release: 2022-11-11
Genre: Technology & Engineering
ISBN: 3031186451

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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.


Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance

Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance
Author: Tom Rutkowski
Publisher: Springer Nature
Total Pages: 167
Release: 2021-06-07
Genre: Technology & Engineering
ISBN: 3030755215

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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 Signed Distance Measure in Fuzzy Statistical Analysis

The Signed Distance Measure in Fuzzy Statistical Analysis
Author: Rédina Berkachy
Publisher: Springer Nature
Total Pages: 356
Release: 2021-10-31
Genre: Computers
ISBN: 303076916X

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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.


The Role of Digital Technologies in Shaping the Post-Pandemic World

The Role of Digital Technologies in Shaping the Post-Pandemic World
Author: Savvas Papagiannidis
Publisher: Springer Nature
Total Pages: 504
Release: 2022-09-06
Genre: Computers
ISBN: 3031153421

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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

Multi-Criteria Decision Analysis for Risk Assessment and Management
Author: Jingzheng Ren
Publisher: Springer Nature
Total Pages: 254
Release: 2021-11-13
Genre: Science
ISBN: 3030781526

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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.


The Application of Fuzzy Logic for Managerial Decision Making Processes

The Application of Fuzzy Logic for Managerial Decision Making Processes
Author: Andreas Meier
Publisher: Springer
Total Pages: 108
Release: 2017-03-30
Genre: Computers
ISBN: 3319540483

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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.