The Prioritization of Mobility Improvements Using a Multicriteria Prioritization Algorithm PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Prioritization of Mobility Improvements Using a Multicriteria Prioritization Algorithm PDF full book. Access full book title The Prioritization of Mobility Improvements Using a Multicriteria Prioritization Algorithm by Joel P. Franklin. Download full books in PDF and EPUB format.
Author: Joel P. Franklin
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 64
Get Book Here
Book Description
Author: Joel P. Franklin
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 64
Get Book Here
Book Description
Author: Joel Patrick Franklin
Publisher:
ISBN:
Category : Urban transportation
Languages : en
Pages : 430
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Urban transportation
Languages : en
Pages : 32
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Urban transportation
Languages : en
Pages : 96
Get Book Here
Book Description
Author: Rhonda Young
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 328
Get Book Here
Book Description
Author: Tracy L. Reed
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 154
Get Book Here
Book Description
Author: Michael Gr. Voskoglou
Publisher: Elsevier
ISBN: 0443237336
Category : Mathematics
Languages : en
Pages : 240
Get Book Here
Book Description
Fuzzy Methods for Assessment and Decision Making presents the assessment of learning and problem-solving skills with qualitative grades. These methods are outcomes of the author's research work on the subject for more than 20 years. In particular, a hybrid assessment model uses the Center of Gravity (COG) defuzzification technique, closed real intervals (grey numbers), neutrosophic sets, and soft sets as tools. The book starts with the basic mathematical background that is needed for an understanding of its contents. The Rectangular Fuzzy Assessment Model (RFAM) of Subbotin and Voskoglou is presented next, the outcomes of which are compared to those of the GPA index.The book presents innovative fuzzy assessment methods, enabling readers to assess the mean and quality performance of learning or problem-solving skills of a group of students when qualitative (linguistic) grades are used for this purpose. In the case of using linguistic grades for the assessment of a group's skills, the classical method of calculating the mean value of the (numerical) grades cannot be applied. Also, no safe conclusions can be obtained on comparing the quality performance of two groups when the values of their GPA index are equal. - Presents innovative, fuzzy assessment methods to enable readers to assess the mean and quality performance of learning - Discusses fuzzy logic and techniques for decision-making in all domains - Includes applications of fuzzy decision-making as a hybrid model using soft sets, grey numbers, and neutrosophic sets
Author: Jingzheng Ren
Publisher: Elsevier
ISBN: 012824240X
Category : Science
Languages : en
Pages : 446
Get Book Here
Book Description
Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization presents cutting edge, detailed methodologies needed to create sustainable growth in any field or industry, including life cycle assessments, building design, and energy systems. The book utilized a systematic structured approach to each of the methodologies described in an interdisciplinary way to ensure the methodologies are applicable in the real world, including case studies to demonstrate the methods. The chapters are written by a global team of authors in a variety of sustainability related fields. Methods in Sustainability Science: Assessment, Prioritization, Improvement, Design and Optimization will provide academics, researchers and practitioners in sustainability, especially environmental science and environmental engineering, with the most recent methodologies needed to maintain a sustainable future. It is also a necessary read for postgraduates in sustainability, as well as academics and researchers in energy and chemical engineering who need to ensure their industrial methodologies are sustainable. - Provides a comprehensive overview of the most recent methodologies in sustainability assessment, prioritization, improvement, design and optimization - Sections are organized in a systematic and logical way to clearly present the most recent methodologies for sustainability and the chapters utilize an interdisciplinary approach that covers all considerations of sustainability - Includes detailed case studies demonstrating the efficacies of the described methods
Author: T.F. Fwa
Publisher: CRC Press
ISBN: 1420039504
Category : Technology & Engineering
Languages : en
Pages : 886
Get Book Here
Book Description
Modern highway engineering reflects an integrated view of a road system's entire lifecycle, including any potential environmental impacts, and seeks to develop a sustainable infrastructure through careful planning and active management. This trend is not limited to developed nations, but is recognized across the globe. Edited by renowned authority
Author: Ali Ahmadian
Publisher: Elsevier
ISBN: 044321476X
Category : Computers
Languages : en
Pages : 340
Get Book Here
Book Description
Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others. The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science. - Provides readers a thorough understanding of the uncertainty that arises in artificial intelligence (AI), computational intelligence (CI) paradigms, and algorithms - Encourages readers to put concepts into practice and solve complex real-world problems using CI development frameworks like decision support systems and visual decision design - Provides a comprehensive overview of the techniques used in computational intelligence, uncertainty, and decision
