Fuzzy hybrid computing construction (19 résultats)

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Hardback. Etat : New. This book provides an introduction to fuzzy logic and surveys emergingresearch trends and the application of state-of-the-art fuzzy hybridcomputing techniques in the field of construction engineering andmanagement. Authors cover the theory and implementation of fuzzyhybrid computing methodologies for arithmetic, optimization, machinelearning, multi-criteria decision-making, simulation, cognitive maps and datamodelling. The practical application of these techniques to solve real-worldproblems across a wide range of construction engineering and managementissues is also demonstrated and discussed. The completion of effectively planned, executed and controlled constructionprojects is dependent on numerous interacting factors and human activities,both of which introduce vagueness and subjective uncertainty into alreadycomplex processes. While expert knowledge is an essential component ofeffective decision-making, analysis and consideration of expert knowledgeexpressed in linguistic terms remains a challenging aspect of constructionengineering and management. Fuzzy logic, which has applications in many disciplines, has the potentialto address certain challenges inherent in construction engineering andmanagement, in part because of its strengths in modelling human reasoning,dealing with subjective uncertainty and computing with linguistic terms.However, fuzzy logic alone has a number of limitations that can only beovercome by its integration with other, complementary methodologies,together leading to advanced and powerful fuzzy hybrid computingtechniques. This book is of particular interest to students, researchers and practitionerswho want to learn about the latest developments in fuzzy hybrid computingin construction engineering and management.…

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Hardback. Etat : New. This book provides an introduction to fuzzy logic and surveys emergingresearch trends and the application of state-of-the-art fuzzy hybridcomputing techniques in the field of construction engineering andmanagement. Authors cover the theory and implementation of fuzzyhybrid computing methodologies for arithmetic, optimization, machinelearning, multi-criteria decision-making, simulation, cognitive maps and datamodelling. The practical application of these techniques to solve real-worldproblems across a wide range of construction engineering and managementissues is also demonstrated and discussed. The completion of effectively planned, executed and controlled constructionprojects is dependent on numerous interacting factors and human activities,both of which introduce vagueness and subjective uncertainty into alreadycomplex processes. While expert knowledge is an essential component ofeffective decision-making, analysis and consideration of expert knowledgeexpressed in linguistic terms remains a challenging aspect of constructionengineering and management. Fuzzy logic, which has applications in many disciplines, has the potentialto address certain challenges inherent in construction engineering andmanagement, in part because of its strengths in modelling human reasoning,dealing with subjective uncertainty and computing with linguistic terms.However, fuzzy logic alone has a number of limitations that can only beovercome by its integration with other, complementary methodologies,together leading to advanced and powerful fuzzy hybrid computingtechniques. This book is of particular interest to students, researchers and practitionerswho want to learn about the latest developments in fuzzy hybrid computingin construction engineering and management.…

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorAminah Robinson Fayek, Phd, Professional Engineer, is Professor in the Faculty of Engineering at the University of Alberta, Canada. She holds a Tier 1 Canada Research Chair in Fuzzy Hybrid Decision Support Syste.…

Buch. Etat : Neu. Fuzzy Hybrid Computing in Construction Engineering and Management | Theory and Applications | Aminah Robinson Fayek | Buch | Gebunden | Englisch | 2018 | Emerald Publishing Limited | EAN 9781787438699 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an introduction to fuzzy logic and surveys emerging research trends and the application of state-of-the-art fuzzy hybrid computing techniques in the field of construction engineering and management. Authors cover the theory and implementation of fuzzy hybrid computing methodologies for arithmetic, optimization, machine learning, multi-criteria decision-making, simulation, cognitive maps and data modelling. The practical application of these techniques to solve real-world problems across a wide range of construction engineering and management issues is also demonstrated and discussed. The completion of effectively planned, executed and controlled construction projects is dependent on numerous interacting factors and human activities, both of which introduce vagueness and subjective uncertainty into already complex processes. While expert knowledge is an essential component of effective decision-making, analysis and consideration of expert knowledge expressed in linguistic terms remains a challenging aspect of construction engineering and management. Fuzzy logic, which has applications in many disciplines, has the potential to address certain challenges inherent in construction engineering and management, in part because of its strengths in modelling human reasoning, dealing with subjective uncertainty and computing with linguistic terms. However, fuzzy logic alone has a number of limitations that can only be overcome by its integration with other, complementary methodologies, together leading to advanced and powerful fuzzy hybrid computing techniques. This book is of particular interest to students, researchers and practitioners who want to learn about the latest developments in fuzzy hybrid computing in construction engineering and management. …