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Computational Intelligence and Soft Computing Applications in Healthcare Management Science (Hardcover): Muhammet Gul, Erkan... Computational Intelligence and Soft Computing Applications in Healthcare Management Science (Hardcover)
Muhammet Gul, Erkan Celik, Suleyman Mete, Faruk Serin
R8,603 Discovery Miles 86 030 Ships in 10 - 15 working days

In today's modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.

Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment - Approaches, Case Studies and Python Applications... Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment - Approaches, Case Studies and Python Applications (Hardcover, 1st ed. 2021)
Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
R2,873 Discovery Miles 28 730 Ships in 10 - 15 working days

This book presents a number of approaches to Fine-Kinney-based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process. The book begins by giving a review of Fine-Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX. This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

Multi-Criteria Decision Analysis - Case Studies in Disaster Management (Hardcover): Muhammet Gul, Melih Yucesan, Melike Erdogan Multi-Criteria Decision Analysis - Case Studies in Disaster Management (Hardcover)
Muhammet Gul, Melih Yucesan, Melike Erdogan
R4,047 Discovery Miles 40 470 Ships in 12 - 19 working days

Multi-Criteria Decision-Making (MCDM) includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management. With a presentation of both Multi-Attribute Decision-Making (MADM) and Multi-Objective Decision-Making (MODM) models, this is the first book to merge these methods and tools with disaster management. This book raises awareness for society and decision-makers on how to measure readiness and what necessary preventive measures need to be taken. It offers models and case studies that can be easily adapted to solve complex problems and find solutions in other fields. Multi-Criteria Decision Analysis: Case Studies in Disaster Management will offer new insights to researchers working in the areas of industrial engineering, systems engineering, healthcare systems, operations research, mathematics, business, computer science, and disaster management, and, hopefully, the book will also stimulate further work in MCDM.

Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment - Approaches, Case Studies and Python Applications... Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment - Approaches, Case Studies and Python Applications (Paperback, 1st ed. 2021)
Muhammet Gul, Suleyman Mete, Faruk Serin, Erkan Celik
R2,840 Discovery Miles 28 400 Ships in 10 - 15 working days

This book presents a number of approaches to Fine-Kinney-based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process. The book begins by giving a review of Fine-Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX. This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

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