Analytic Hierarchy Process with Fuzzy Sets Extensions

Analytic Hierarchy Process with Fuzzy Sets Extensions PDF Author: Cengiz Kahraman
Publisher: Springer Nature
ISBN: 3031394380
Category : Technology & Engineering
Languages : en
Pages : 425

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Book Description
This book presents a comprehensive guide to Analytic Hierarchy Process with Fuzzy Sets Extensions. Written by prominent researchers, it offers readers a step-by-step approach to decision-making that can be applied to a wide range of real-world problems. With clear explanations and practical examples, this book is an essential resource for researchers, lecturers, and postgraduate students pursuing research on Analytic Hierarchy Process with Fuzzy Sets Extensions. Each chapter in the book provides a wealth of both basic and advanced concepts, including Interval Type-2 Fuzzy AHP, Intuitionistic Fuzzy AHP, Hesitant Fuzzy AHP, Pythagorean Fuzzy AHP, Picture Fuzzy AHP, q-Rung Orthopair Fuzzy AHP, Spherical Fuzzy AHP, Circular Intuitionistic Fuzzy AHP, and Decomposed Fuzzy AHP. To foster a better understanding, all the chapters include relevant numerical examples or case studies, making it easy to apply the concepts in practice. Moreover, the book extends all the main aspects of Analytic Hierarchy Process with Fuzzy Sets Extensions, presenting a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments. In summary, this book is an essential reference guide for anyone seeking to gain a deep understanding of Analytic Hierarchy Process with Fuzzy Sets Extensions. It is written in a rigorous and scholarly manner, making it a valuable resource for researchers and academics. Order your copy today and discover the practical insights and strategies for decision-making offered by this authoritative volume.

Fuzzy Analytic Hierarchy Process

Fuzzy Analytic Hierarchy Process PDF Author: Ali Emrouznejad
Publisher: CRC Press
ISBN: 1498732488
Category : Business & Economics
Languages : en
Pages : 408

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Book Description
This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process (FAHP). The AHP is a conceptually and mathematically simple, easily implementable, yet extremely powerful tool for group decision making and is used around the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, and education. The aim of this book is to study various fuzzy methods for dealing with the imprecise and ambiguous data in AHP. Features: First book available on FAHP. Showcases state-of-the-art developments. Contains several novel real-life applications. Provides useful insights to both academics and practitioners in making group decisions under uncertainty This book provides the necessary background to work with existing fuzzy AHP models. Once the material in this book has been mastered, the reader will be able to apply fuzzy AHP models to his or her problems for making decisions with imprecise data.

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions

Intelligent and Fuzzy Techniques: Smart and Innovative Solutions PDF Author: Cengiz Kahraman
Publisher: Springer Nature
ISBN: 3030511561
Category : Technology & Engineering
Languages : en
Pages : 1701

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Book Description
This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.

Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems

Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems PDF Author: Papajorgji, Petraq
Publisher: IGI Global
ISBN: 1466639474
Category : Computers
Languages : en
Pages : 252

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Book Description
Many factors can impact large-scale enterprise management systems, and maintaining these systems can be a complicated and challenging process. Therefore, businesses can benefit from an assortment of models and management styles to track and collect data for processes. Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems supplies a wide array of research on the intersections of business modeling, information systems, and optimization techniques. These various business models and structuring methods are proposed to provide ideas, methods, and points of view for managers, practitioners, entrepreneurs, and researchers on how to improve business processes.

An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making

An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making PDF Author: Mohamed Abdel-Basset
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 18

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Book Description
Every organization seeks to set strategies for its development and growth and to do this, it must take into account the factors that affect its success or failure.

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models PDF Author: Humberto Bustince
Publisher: Springer
ISBN: 3540737235
Category : Computers
Languages : en
Pages : 674

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Book Description
This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions. It pays particular attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modeling and solving problems. The book’s 34 chapters deal with the subject with clarity and effectiveness. They include four review papers introducing some non-standard representations

Intelligent and Fuzzy Systems

Intelligent and Fuzzy Systems PDF Author: Cengiz Kahraman
Publisher: Springer Nature
ISBN: 3031397770
Category : Technology & Engineering
Languages : en
Pages : 795

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Book Description
This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

Pairwise Comparison Matrices and their Fuzzy Extension

Pairwise Comparison Matrices and their Fuzzy Extension PDF Author: Jana Krejčí
Publisher: Springer
ISBN: 3319777157
Category : Technology & Engineering
Languages : en
Pages : 273

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Book Description
This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested in multi-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.

Fuzzy Hybrid Computing in Construction Engineering and Management

Fuzzy Hybrid Computing in Construction Engineering and Management PDF Author: Aminah Robinson Fayek
Publisher: Emerald Group Publishing
ISBN: 1787439968
Category : Technology & Engineering
Languages : en
Pages : 536

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Book Description
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.

Toward Humanoid Robots: The Role of Fuzzy Sets

Toward Humanoid Robots: The Role of Fuzzy Sets PDF Author: Cengiz Kahraman
Publisher: Springer Nature
ISBN: 3030671631
Category : Technology & Engineering
Languages : en
Pages : 310

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Book Description
This book offers a comprehensive reference guide for modeling humanoid robots using intelligent and fuzzy systems. It provides readers with the necessary intelligent and fuzzy tools for controlling humanoid robots by incomplete, vague, and imprecise information or insufficient data, where classical modeling approaches cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including fuzzy control, metaheuristic-based control, neutrosophic control, etc. To foster reader comprehension, all chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers, and postgraduate students pursuing research on humanoid robots. Moreover, by extending all the main aspects of humanoid robots to its intelligent and fuzzy counterparts, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas, and developments.