Fuzzy Hierarchical Model for Risk Assessment
Fuzzy Hierarchical Model for Risk Assessment

Author: Hing Kai Chan

Publisher: Springer Science & Business Media

Published: 2013-04-11

Total Pages: 172

ISBN-13: 1447150430

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Risk management is often complicated by situational uncertainties and the subjective preferences of decision makers. Fuzzy Hierarchical Model for Risk Assessment introduces a fuzzy-based hierarchical approach to solve risk management problems considering both qualitative and quantitative criteria to tackle imprecise information. This approach is illustrated through number of case studies using examples from the food, fashion and electronics sectors to cover a range of applications including supply chain management, green product design and green initiatives. These practical examples explore how this method can be adapted and fine tuned to fit other industries as well. Supported by an extensive literature review, Fuzzy Hierarchical Model for Risk Assessment comprehensively introduces a new method for project managers across all industries as well as researchers in risk management. this area.

Fuzzy Systems Modeling in Environmental and Health Risk Assessment
Fuzzy Systems Modeling in Environmental and Health Risk Assessment

Author: Boris Faybishenko

Publisher: John Wiley & Sons

Published: 2023-04-04

Total Pages: 340

ISBN-13: 1119569478

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Demonstrates the successful application of fuzzy systems modeling to real-world environmental and health problems In Fuzzy Systems Modeling in Environmental and Health Risk Assessment, a team of distinguished researchers delivers an up-to-date collection of the most successful and innovative attempts to apply fuzzy logic to problems involving environmental risk assessment, healthcare decision-making, the management of water distribution networks, and the optimization of water treatment and waste management systems. By explaining both the theoretical and practical aspects of using fuzzy systems modeling methods to solve complex problems, analyze risks and optimize system performance, this handy guide maintains a strongly application-oriented perspective throughout, offering readers a practical treatment of a cutting-edge subject. Readers will also find: Comprehensive explorations of the practical applications of fuzzy systems modeling in hydrogeology and environmental science Practical advice on environmental quality assessments and human health risk analyses In-depth case studies involving air and water pollution, solid waste, indoor swimming pool and landfill risk assessments, wastewater treatment, and more Perfect for environmental engineers and scientists, hydrogeologists and geologists, Fuzzy Systems Modeling in Environmental and Health Risk Assessment will also benefit policy makers, mathematicians, theoretical hydrologists, and researchers and practitioners interested in applying soft computing theories to environmental problems.

Development of a Hierarchical Fuzzy Model for the Evaluation of Inherent Safety
Development of a Hierarchical Fuzzy Model for the Evaluation of Inherent Safety

Author: Michela Gentile

Publisher:

Published: 2004

Total Pages:

ISBN-13:

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Inherent safety has been recognized as a design approach useful to remove or reduce hazards at the source instead of controlling them with add-on protective barriers. However, inherent safety is based on qualitative principles that cannot easily be evaluated and analyzed, and this is one of the major difficulties for the systematic application and quantification of inherent safety in plant design. The present research introduces the use of fuzzy logic for the measurement of inherent safety by proposing a hierarchical fuzzy model. This dissertation establishes a novel conceptual framework for the analysis of inherent safety and proposes a methodology that addresses several of the limitations of the methodologies available for current inherent safety analysis. This research proposes a methodology based on a hierarchical fuzzy model that analyzes the interaction of variables relevant for inherent safety and process safety in general. The use of fuzzy logic is helpful for modeling uncertainty and subjectivities implied in evaluation of certain variables and it is helpful for combining quantitative data with qualitative information. Fuzzy logic offers the advantage of being able to model numerical and heuristic expert knowledge by using fuzzy IF-THEN rules. Safety is traditionally considered a subjective issue because of the high uncertainty associated with its significant descriptors and parameters; however, this research recognizes that rather than subjective, "safety" is a vague problem. Vagueness derives from the fact that it is not possible to define sharp boundaries between safe and unsafe states; therefore the problem is a "matter of degree". The proposed method is computer-based and process simulator-oriented in order to reduce the time and expertise required for the analysis. It is expected that in the future, by linking the present approach to a process simulator, process engineers can develop safety analysis during the early stages of the design in a rapid and systematic way. Another important aspect of inherent safety, rarely addressed, is transportation of chemical substances; this dissertation includes the analysis of transportation hazard by truck using a fuzzy logic-based approach.

Structural Seismic and Civil Engineering Research
Structural Seismic and Civil Engineering Research

Author: Ankit Garg

Publisher: CRC Press

Published: 2023-04-12

Total Pages: 946

ISBN-13: 1000911004

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Structural Seismic and Civil Engineering focuses on civil engineering research, anti-seismic technology and engineering structure. These proceedings gather the most cutting-edge research and achievements, aiming to provide scholars and engineers with preferable research directions and engineering solutions as reference. Subjects in these proceedings include: Engineering Structure Materials of Civil Engineering Structural Seismic Resistance Monitoring and Testing The works in these proceedings aim to promote the development of civil engineering and earthquake engineering. Thereby, promoting scientific information interchange between scholars from top universities, research centers and high-tech enterprises working all around the world.

Internet of Things and Machine Learning for Type I and Type II Diabetes
Internet of Things and Machine Learning for Type I and Type II Diabetes

Author: Sujata Dash

Publisher: Elsevier

Published: 2024-07-15

Total Pages: 450

ISBN-13: 0323956939

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Internet of Things and Machine Learning for?Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics. Integrates many Machine learning techniques in biomedical domain to detect various types of diabetes to utilizing large volumes of available diabetes-related data for extracting knowledge It integrates data mining and IoT techniques to monitor diabetes patients using their medical records (HER) and administrative data Includes clinical applications to highlight contemporary use of these machine learning algorithms and artificial intelligence-driven models beyond research settings

Geophysical, Climatological and Anthropogenic Hazards and Disaster: Vulnerability, Risk Assessment, and Sustainability
Geophysical, Climatological and Anthropogenic Hazards and Disaster: Vulnerability, Risk Assessment, and Sustainability

Author: Shankar Karuppannan

Publisher: Frontiers Media SA

Published: 2024-02-12

Total Pages: 180

ISBN-13: 2832544649

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Nowadays, the whole world faces frequent natural and anthropogenic hazards-from drought to flood to deforestation which impends a large number of people into catastrophic destruction and damage. Since natural hazards cannot be eliminated, quantifying these events and creating reliable forecasts can alleviate their detrimental effects which can help build a more resilient and safe society. This Research Topic will comply with the available knowledge of the multi-hazards in response to monitoring and management and intends to fulfil the gap between science, policy and the community concerned. It also focuses on the use of precision techniques, remote sensing, and GIS technologies for the quantification of various natural and environmental hazards along with the capacity and sustainable mitigation strategies for resilient societies.

Hazard-causing System and Assessment of Water and Mud Inrush in Tunnel
Hazard-causing System and Assessment of Water and Mud Inrush in Tunnel

Author: Shucai Li

Publisher: Springer Nature

Published: 2023-05-18

Total Pages: 415

ISBN-13: 9811995230

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This book is composed of eight chapters, introducing the authors’ research and application achievements in the hazard-causing system and disaster evaluation of water and mud inrush in tunnels over the past 10 years. Through a large number of case studies and analysis, and on the basis of existing research, this book puts forward 3 categories and 11 types of tunnel water and mud inrush hazard-causing systems and 4 typical water and mud inrush disaster-forming modes. The authors carefully study the typical cases of tunnel water and mud inrush hazard-causing system, discuss the types of karst water system, structural characteristics, macro-geological identification, engineering identification, karst tunnel route selection principles and evaluation methods in detail, and then develop a dynamic evaluation method of tunnel water and mud inrush construction risk interval and an evaluation method for the resistance body. Ultimately, the authors put forward a systematic identification method of tunnel water and mud inrush disaster, which integrates geological identification, geophysical exploration identification, and drilling identification, and construct a dynamic management and analysis platform for tunnel water and mud inrush cases. This book is used as a reference book for teachers, graduate students, and undergraduates in colleges and universities of civil engineering, transportation, water conservancy and hydropower, mining, geology, etc., and also as a reference for technicians in related engineering fields.

Electronic Systems and Intelligent Computing
Electronic Systems and Intelligent Computing

Author: Pradeep Kumar Mallick

Publisher: Springer Nature

Published: 2020-09-22

Total Pages: 1126

ISBN-13: 9811570310

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This book presents selected, high-quality research papers from the International Conference on Electronic Systems and Intelligent Computing (ESIC 2020), held at NIT Yupia, Arunachal Pradesh, India, on 2 – 4 March 2020. Discussing the latest challenges and solutions in the field of smart computing, cyber-physical systems and intelligent technologies, it includes papers based on original theoretical, practical and experimental simulations, developments, applications, measurements, and testing. The applications and solutions featured provide valuable reference material for future product development.

Life System Modeling and Simulation
Life System Modeling and Simulation

Author: Minrui Fei

Publisher: Springer Science & Business Media

Published: 2007-08-30

Total Pages: 580

ISBN-13: 3540747702

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This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes modeling and simulation of societies and collective behavior, computational methods and intelligence in biomechanical systems, tissue engineering and clinical bioengineering, computational intelligence in bioinformatics and biometrics, and brain stimulation.