Luis Martinez – författare
1 053 kr
Skickas inom 3-6 vardagar
204 kr
Skickas inom 3-6 vardagar
745 kr
Läs direkt efter köp
The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework.
The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains, including distributed computing, cloud computing, IoT and other online platforms.
For researchers, students, data scientists and technical practitioners, this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics, including Fuzzy Decisions, ELICIT, OWA aggregation, Directed Acyclic Graph, RNN, LSTM, GRU, Type-2 Fuzzy Decision, Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.
745 kr
Läs direkt efter köp
The rapidly evolving business and technology landscape demands sophisticated decision-making tools to stay ahead of the curve. Advances in Complex Decision Making: Using Machine Learning and Tools for Service-Oriented Computing is a cutting-edge technical guide exploring the latest decision-making technology advancements. This book provides a comprehensive overview of machine learning algorithms and examines their applications in complex decision-making systems in a service-oriented framework.
The authors also delve into service-oriented computing and how it can be used to build complex systems that support decision making. Many real-world examples are discussed in this book to provide a practical insight into how discussed techniques can be applied in various domains, including distributed computing, cloud computing, IoT and other online platforms.
For researchers, students, data scientists and technical practitioners, this book offers a deep dive into the current developments of machine learning algorithms and their applications in service-oriented computing. This book discusses various topics, including Fuzzy Decisions, ELICIT, OWA aggregation, Directed Acyclic Graph, RNN, LSTM, GRU, Type-2 Fuzzy Decision, Evidential Reasoning algorithm and robust optimisation algorithms. This book is essential for anyone interested in the intersection of machine learning and service computing in complex decision-making systems.
789 kr
Skickas inom 10-15 vardagar
1 223 kr
Skickas inom 10-15 vardagar
295 kr
Skickas inom 5-8 vardagar
232 kr
Skickas inom 3-6 vardagar
332 kr
Skickas inom 3-6 vardagar
232 kr
Skickas inom 5-8 vardagar
391 kr
Skickas inom 5-8 vardagar
265 kr
Skickas inom 5-8 vardagar
390 kr
Skickas inom 3-6 vardagar
247 kr
Skickas inom 5-8 vardagar
153 kr
Skickas inom 5-8 vardagar
155 kr
Skickas inom 5-8 vardagar
294 kr
Skickas inom 5-8 vardagar
537 kr
Skickas inom 7-10 vardagar
603 kr
Skickas inom 7-10 vardagar
329 kr
Skickas inom 7-10 vardagar
1 781 kr
Skickas inom 10-15 vardagar
2 273 kr
Läs direkt efter köp
1 781 kr
Skickas inom 10-15 vardagar
Intelligent Data Engineering and Automated Learning – IDEAL 2025
26th International Conference, Jaén, Spain, November 13–15, 2025, Proceedings, Part I
1 005 kr
Skickas inom 5-8 vardagar
1 223 kr
Läs direkt efter köp
Intelligent Data Engineering and Automated Learning – IDEAL 2025
26th International Conference, Jaén, Spain, November 13–15, 2025, Proceedings, Part II
916 kr
Skickas inom 5-8 vardagar
1 077 kr
Läs direkt efter köp
561 kr
Skickas inom 10-15 vardagar
734 kr
Läs direkt efter köp
This book examines one of the more common and wide-spread methodologies to deal with uncertainty in real-world decision making problems, the computing with words paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular methodology for computing with words (CWW), because it improves the accuracy of the linguistic computations and keeps the interpretability of the results.
The authors provide a thorough review of the specialized literature in CWW and highlight the rapid growth and applicability of the 2-tuple linguistic model. They explore the foundations and methodologies for CWW in complex frameworks and extensions. The book introduces the software FLINTSTONES that provides tools for solving linguistic decision problems based on the 2-tuple linguistic model.
Professionals and researchers working in the field of classification or fuzzy sets and systems will find The 2-tuple Linguistic Model: Computing with Words in Decision Making a valuable resource. Undergraduate and postdoctoral students studying computer science and statistics will also find this book a useful study guide.
561 kr
Skickas inom 10-15 vardagar