Chapter 1. Citizen Engagement in Smart Cities Municipal Decision-Making -- Part I: Methodology -- Chapter 2. Fuzzy Sets and Fuzzy Algebra -- Chapter 3. Machine learning and Natural Language Processing -- Part II: Framework design and numerical experiments -- Chapter 4. Framework design --...

1. Introduction -- Part I: The Skeleton of Reason -- 2. A formal skeleton of reason -- 3. Reason in light of the skeleton -- Part II: The Model of Precise Reasoning -- 4. Boolean algebras come with lots of laws -- 5. With fewer laws: ortho-lattices and De Morgan algebras -- 6. Conjectures on...

Philosophical Consideration of Quantitative management -- The role of “Fuzz-AI Model” in Quantitative Management -- The Conceptual Investigation of “Deep Data” and “Deep Knowledge” -- Fuzzy Quantitative Risk Management -- Quantitative Studies in Risk Management by Knowledge...

Chapter 1. Introduction -- Chapter 2. Insights into Privacy Research -- Chapter 3. Citizen Privacy Profile Framework -- Chapter 4. Fuzzy-based Privacy Settings Recommender System -- Chapter 5. Conclusions.

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...

Chapter 1. Introduction -- Chapter 2. Data Analysis -- Chapter 3. Fuzzy Cognitive Maps -- Chapter 4. Data Modeling -- Chapter 5. Network analysis, accuracy and stability of the job-satisfaction structures -- Chapter 6. The proposed data-driven glassoFCM method -- Chapter 7. Thesis Conclusions.

Electronic participation is an emerging and growing research area that makes use of internet solutions to enhance citizens' participation in government processes in order to provide a fair and efficient society. This book examines recommender-system technologies and voting advice applications as...

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...

This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so. Further, it details how this is accomplished by combining granular computing, natural language processing and...