Fuzzy Hybrid Computing in Construction Engineering and Management : Theory and Applications.

Front Cover -- Fuzzy Hybrid Computing in Construction Engineering and Management: Theory and applications -- Copyright Page -- Acknowledgements -- Contents -- List of Figures -- List of Tables -- About the Editor -- About the Authors -- Foreword -- Preface -- Introduction -- Purpose and Structure of the Book -- Chapter Summaries -- Part 1: Introduction to Fuzzy Logic and Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management -- Introduction to Fuzzy Logic in Construction Engineering and Management -- Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management -- Part 2: Theoretical Approaches of Fuzzy Hybrid Computing in Construction Engineering and Management -- Fuzzy Arithmetic Operations: Theory and Applications in Construction Engineering and Management -- Fuzzy Simulation Techniques in Construction Engineering and Management -- Fuzzy Set Theory and Extensions for Multi-criteria Decision-making in Construction Management -- Fuzzy Consensus and Fuzzy Aggregation Processes for Multi-criteria Group Decision-making Problems in Construction Engineering and Management -- Fuzzy AHP with Applications in Evaluating Construction Project Complexity -- Part 3: Applications of Fuzzy Hybrid Computing in Construction Engineering and Management -- The Fuzzy Analytic Hierarchy Process in the Investment Appraisal of Drilling Methods -- Modelling Risk Allocation Decisions in Public-Private Partnership Contracts Using the Fuzzy Set Approach -- Flexible Management of Essential Construction Tasks Using Fuzzy OLAP Cubes -- Using an Adaptive Neuro-fuzzy Inference System for Tender Price Index Forecasting: A Univariate Approach -- Modelling Construction Management Problems with Fuzzy Cognitive Maps -- Crane Guidance Gesture Recognition Using Fuzzy Logic and Kalman Filtering -- Future Directions.

Part 1: Introduction to Fuzzy Logic and Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management -- Introduction to Fuzzy Logic in Construction Engineering and Management -- List of Notations -- Fuzzy Logic for Handling Uncertainty in Construction Engineering and Management -- Fuzzy Sets and Membership Functions -- Representing Membership Functions -- Characteristics of Membership Functions -- Fuzzy Variables and Fuzzy Partitions -- Basic Set Operations on Fuzzy Sets -- Fuzzy Relations and Fuzzy Composition -- Defuzzification -- Non-probabilistic Entropy: Measuring the Degree of Fuzziness -- Fuzzy Numbers -- Membership Function Specification Methods -- Direct Assignment of Membership Functions: Horizontal and Vertical Methods -- Pairwise Comparison Using the Analytic Hierarchy Process -- Statistical Methods -- Methods Based on Clustering -- Fuzzy Rule-based Systems -- Methods of Generating Fuzzy Rule-based Systems -- Fuzzy Hybrid Modelling in Construction -- References -- Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management -- Introduction -- Systematic Literature Review Methodology -- Fuzzy Hybrid Optimization -- Fuzzy Hybrid Evolutionary Models -- Fuzzy Hybrid Particle Swarm Optimization Models -- Fuzzy Hybrid Machine Learning -- Hybridisation of Fuzzy Logic with the Artificial Neural Network Technique -- Fuzzy Clustering Techniques -- Fuzzy Multi-criteria Decision-making -- Fuzzy AHP -- Fuzzy TOPSIS -- Fuzzy VIKOR -- Fuzzy Simulation -- Fuzzy Monte Carlo Simulation -- Fuzzy Discrete Event Simulation -- Fuzzy System Dynamics -- Fuzzy Agent-based Modelling -- Conclusions -- Fuzzy Hybrid Optimization -- Fuzzy Hybrid Machine Learning -- Fuzzy Multi-criteria Decision-making -- Fuzzy Simulation -- Future Research Directions -- References.

Part 2: Theoretical Approaches of Fuzzy Hybrid Computing in Construction Engineering and Management -- Fuzzy Arithmetic Operations: Theory and Applications in Construction Engineering and Management -- List of Notations -- Fuzzy Arithmetic Operations: Exact Mathematical Methods -- Exact Mathematical Method for Implementation of Standard Fuzzy Arithmetic -- Discussion -- Exact Mathematical Method for Implementation of Extended Fuzzy Arithmetic -- Fuzzy Arithmetic Operations: Computational Methods -- Computational Method for the Implementation of Standard Fuzzy Arithmetic -- Computational Method for the Implementation of Extended Fuzzy Arithmetic -- Extended Fuzzy Arithmetic Using the Algebraic Product t-norm. -- Extended Fuzzy Addition Using the Algebraic Product t-norm -- Extended Fuzzy Multiplication Using the Algebraic Product t-norm -- Extended Fuzzy Arithmetic Using the Bounded Difference t-norm -- Extended Fuzzy Addition Using the Bounded Difference t-norm. -- Extended Fuzzy Multiplication Using the Bounded Difference t-norm -- Extended Fuzzy Arithmetic Using the Drastic Product t-norm -- Extended Fuzzy Addition Using the Drastic Product t-norm. -- Extended Fuzzy Multiplication Using the Drastic Product t-norm. -- Fuzzy Arithmetic Operations in Construction Applications -- Conclusions and Future Work -- References -- Fuzzy Simulation Techniques in Construction Engineering and Management -- Introduction -- Literature Review on Simulation Techniques in Construction -- Discrete Event Simulation -- System Dynamics -- Agent-based Modelling -- Limitations of Simulation Techniques -- Integrating Fuzzy Logic and Simulation Techniques: Basic Concepts, Theory and Modelling Methodologies -- Fuzzy Discrete Event Simulation -- Fuzzy System Dynamics -- Fuzzy Agent-based Modelling -- Step 1. Determining the Architecture of the Agent-based Model.

Step 2. Developing the Basic Structure of Agents: Agents, Agent Attributes and Agent Behaviours. -- Step 3. Defining Protocols Governing Interactions among Agents and Determining Agent Decision-making Rules. -- Step 4. Incorporating Fuzzy Logic into the Agent-based Model. -- The Appropriate Choice of Fuzzy Simulation Techniques for Construction Modelling -- Applications of Fuzzy Simulation Techniques in Construction -- Applications of Fuzzy System Dynamics: An FSD Model of Quality Management Practice in Construction -- Fuzzy Agent-based Modelling Applications: A Fuzzy ABM Model of Construction Crew Motivation and Performance -- Conclusions and Future Work -- References -- Fuzzy Set Theory and Extensions for Multi-criteria Decision-making in Construction Management -- List of Notations -- Introduction -- MCDM Process and Methods in Construction Management -- Weighted Sum Method -- Analytic Hierarchy Process -- Analytic Network Process -- Technique for Order of Preference by Similarity to Ideal Solution -- Elimination and Choice Expressing Reality -- Preference Ranking Organisation Method for Enrichment Evaluation -- Fuzzy Set Theory and Typical Extensions -- Fuzzy Sets -- Intuitionistic Fuzzy Sets -- Hesitant Fuzzy Sets -- Type-2 Fuzzy Sets -- FMCDM Methods and Applications in Construction Management -- FS-based MCDM Methods and Applications in Construction Management -- Fuzzy Sets-based Weighted Sum Method -- Fuzzy Sets-based Analytic Hierarchy Process -- Fuzzy Sets-based Technique for Order of Preference by Similarity to Ideal Solution -- Fuzzy Sets-based Elimination and Choice Expressing Reality -- Fuzzy Sets-based Preference Ranking Organisation Method Enrichment Evaluation -- F-MCDM Method Applications in Construction Management -- IFS-based MCDM Methods and Applications in Construction Management.

Intuitionistic Fuzzy Sets-based Analytic Hierarchy Process -- Intuitionistic Fuzzy Sets-based Technique for Order of Preference by Similarity to Ideal Solution -- Intuitionistic Fuzzy Sets-based Elimination and Choice Expressing Reality -- Intuitionistic Fuzzy Sets-based Preference Ranking Organisation Method Enrichment Evaluation -- IF-MCDM Method Applications in Construction Management -- HFS-based MCDM Methods and Applications in Construction Management -- Hesitant Fuzzy Sets-based Analytic Hierarchy Process -- Hesitant Fuzzy Sets-based Technique for Order of Preference by Similarity to Ideal Solution -- Hesitant Fuzzy Sets-based Elimination and Choice Expressing Reality -- HF-MCDM Methods Applications in Construction Management -- T2FS-based MCDM Methods and Applications in Construction Management -- Type-2 Fuzzy Sets-based Weighted Sum Method -- Type-2 Fuzzy Sets-based Weighted Product Method -- Type-2 Fuzzy Sets-based Analytic Hierarchy Process -- Type-2 Fuzzy Sets-based Technique for Order of Preference by Similarity to Ideal Solution -- Type-2 Fuzzy Sets-based Elimination and Choice Expressing Reality -- Type-2 Fuzzy Sets-based Preference Ranking Organisation Method for Enrichment Evaluation -- T2FS-MCDM Method Applications in Construction Management -- Conclusions -- References -- Fuzzy Consensus and Fuzzy Aggregation Processes for Multi-criteria Group Decision-making Problems in Construction Engineering and Management -- List of Notations -- Introduction -- Fuzzy Consensus-reaching Process -- Types of Fuzzy Consensus-reaching Processes and Models -- Mechanism Adopted to Guide the Discussion Process -- Importance Degree of Experts -- Preference Representation Formats -- Consensus Measures -- Fuzzy Consensus-reaching Process for Multi-criteria Group Decision-making Problems -- Fuzzy Aggregation Processes for Constructing Collective Opinions.

Classification of Fuzzy Aggregation Operators and Their Properties.

This book is a guide for students, researchers, and practitioners to the latest developments in fuzzy hybrid computing in construction engineering and management. It discusses basic theory related to fuzzy logic and fuzzy hybrid computing, their application in a range of practical construction problems, and emerging and future research trends.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.