Download or read book A Fuzzy Hybrid Intelligent Model for Project Competencies and Performance Evaluation and Prediction in the Construction Industry written by Moataz N. Omar and published by . This book was released on 2015 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: In contemporary construction environments, construction companies measure their performance against a set of predefined performance indicators. These performance indicators are governed by the ability of the company to maintain necessary sets of "competencies" that empower the successful execution of construction projects. Competencies in general are difficult to define and measure due to the multidimensional and subjective nature of their assessment. Additionally, there is little consensus on the performance indicators that capture the different critical aspects of how well a construction project is performing. This thesis expands the body of knowledge on project competencies and performance by demonstrating the power of fuzzy logic combined with other artificial intelligence modeling (i.e., neural networks) in developing a model capable of identifying the relationship between the different project competencies and project performance on construction projects. First, this research identifies 41 project competencies with a total of 248 criteria for evaluating the different project competencies. Appropriate measurement scales are developed for the different project competencies' evaluation criteria. This research also identifies seven performance categories with 46 key project performance indicators. Second, a systematic framework and methodology are developed to measure project competencies and project key performance indicators on construction projects. Finally, several state of the art techniques are developed and applied to model the relationship between project competencies and project performance namely: 1) a new prioritized aggregation method, 2) a dimensionality reduction technique, and 3) a fuzzy hybrid intelligent model incorporating fuzzy logic and artificial neural networks. The new prioritized aggregation method is developed in this research to consider the prioritized relationship between criteria pertaining to the different project competencies. This prioritized aggregation method is developed for both crisp and fuzzy environments. Then, a dimensionality reduction technique, through the application of feature extraction, is applied to reduce the dimensionality of the model input (i.e., project competencies) and enhance its capability in providing more accurate outputs (i.e., key project performance indicators). Finally, granular AND/OR fuzzy neural networks are constructed using fuzzy logic and artificial neural networks to identify and map the relationship between the different project competencies and project key performance indicators. Data collected from seven construction projects are used to train and test the developed granular AND/OR fuzzy neural networks. This thesis contributes to the current body of knowledge in project competencies and performance by establishing a standardized framework and methodology for evaluating the impact of construction project competencies on key project performance indicators. Furthermore, this thesis applies advanced modeling techniques through the application of fuzzy logic and artificial neural networks to identify and model the relationship between project competencies and project key performance indicators.

Download or read book Artificial Intelligence in Construction Engineering and Management written by Limao Zhang and published by Springer Nature. This book was released on 2021-06-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

Download or read book Fuzzy Hybrid Computing in Construction Engineering and Management written by Aminah Robinson Fayek and published by Emerald Group Publishing. This book was released on 2018-10-05 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Collaboration and Integration in Construction Engineering Management and Technology written by Syed M. Ahmed and published by Springer Nature. This book was released on 2020-12-21 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented at the 11th International Conference on Construction in the 21st Century, held in London in 2019. Bringing together a diverse group of government agencies, academics, professionals, and students, the book addresses issues related to construction safety, innovative technologies, lean and sustainable construction, international construction, improving quality and productivity, and innovative materials in the construction industry. In addition, it highlights international collaborations between various disciplines in the areas of construction, engineering, management, and technology. The book demonstrates that, as the industry moves forward in an ever-complex global economy, multi-national collaboration is crucial, and its future growth will undoubtedly depend on international teamwork and alliances.

Download or read book Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5 0 written by D. Jude Hemanth and published by Springer Nature. This book was released on with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Hybrid Fuzzy Bayesian Dynamic Decision Support Tool for Resource based Scheduling of Construction Projects written by Pejman Rezakhani and published by . This book was released on 2017 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation proposes a flexible and intelligent decision support tool for scheduling and resource allocation of construction projects. A hybrid Fuzzy-Bayesian scheduling network and a new optimization model and solution approach have been developed to assess the combinatory effect of different risk factors on scheduling and optimize the time-cost tradeoff. Developed decision support tool employs interval-valued fuzzy numbers and Bayesian networks to dynamically quantify uncertainty and predict project performance during its make span. Using interval-valued fuzzy numbers makes the model more flexible and intelligent comparing to conventional fuzzy risk assessment models through incorporating the decision makers` confidence degree. The linguistic assessments of experts regarding the likelihood and severity of increase or decrease in task duration and cost when influenced by different risk factors are used to generate a set of duration and cost prior-probability distributions. A learning dynamic Bayesian scheduling network is developed to probabilistically combine the prior-probability distributions with initial activity duration estimates and update them as new evidence in form of actual activity data feed into the network. This model also predicts project performance at any point of time during its execution. Optimization model explicitly considers variation of time-cost tradeoff relationship during project execution and complex payment terms to maximize the project net present value (NPV). A sequential solution approach is proposed to combine a procedure for updating time-cost tradeoff data, and mixed integer linear programming (MILP) methods to obtain optimal project crashing and scheduling solutions that is adaptive to the current project status and crew productivity. Capability of proposed model in quantifying uncertainty at initial phases of project where project performance data are scarce, learning from data and predicting project performance, considering financial aspects of scheduling through optimal resource allocation and providing useful and clear advice to managers are advantages of developed decision support tool over already existing approaches.

Download or read book Transactions of the American Society of Civil Engineers written by American Society of Civil Engineers and published by . This book was released on 2005 with total page 1176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vols. 29-30 contain papers of the International Engineering Congress, Chicago, 1893; v. 54, pts. A-F, papers of the International Engineering Congress, St. Louis, 1904.

Download or read book Simulation Based Construction Productivity Improvement Using Neural Network Driven Fuzzy Reasoning System written by Seyedfarid Mirahadi and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 10th International Conference on Theory and Application of Soft Computing Computing with Words and Perceptions ICSCCW 2019 written by Rafik A. Aliev and published by Springer Nature. This book was released on 2019-11-19 with total page 997 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27–28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.

Download or read book Type 2 Fuzzy Logic written by Rómulo Antão and published by Springer. This book was released on 2017-07-23 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms’ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.

Download or read book Fuzzy Modelling written by Witold Pedrycz and published by Springer Science & Business Media. This book was released on 1996-03-31 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides recent information on fuzzy models, identification algorithms, and applications. Section I on relational models includes theory and case studies in areas such as speech recognition, prediction, and ecological systems. Section II on fuzzy neural networks covers fundamentals such as neurocomputing, explains the relationship between fuzzy systems and neural networks, and details architectures. Section III addresses design principles governing the development of rule-based models. Of interest to researchers and practitioners developing models of complex systems. Annotation copyright by Book News, Inc., Portland, OR

Download or read book Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design written by Oscar Castillo and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.

Download or read book written by and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Employee Experience Occupational Health and Organizational Supportive Factors From an Integrated Perspective written by Shengnan Wang and published by Frontiers Media SA. This book was released on 2024-04-04 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attracting, retaining, and motivating employees is one of the most important topics for organizations today. To build a competent, dedicated, and loyal team of employees, it is not enough to focus on compensation and benefits. Employees need to earn not only financial rewards but also the subjective experience when working in an organization. Employee experience is an important part of the overall compensation system, which usually includes recognition and appreciation, work-life balance, personal development, organizational culture, and work environment.

Download or read book Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation written by Cengiz Kahraman and published by Springer Nature. This book was released on 2021-08-23 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.

Download or read book Computational Intelligence Applications in Modeling and Control written by Ahmad Taher Azar and published by Springer. This book was released on 2014-12-26 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications. This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

Download or read book The Hybrid Intelligent Method Based on Fuzzy Inference System and Its Application to Fault Diagnosis written by Yaguo Lei and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: