A Practical Development Of Multi Attribute Decision Making Using Fuzzy Set Theory

Download A Practical Development Of Multi Attribute Decision Making Using Fuzzy Set Theory full books in PDF, epub, and Kindle. Read online A Practical Development Of Multi Attribute Decision Making Using Fuzzy Set Theory ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Fuzzy Multi-Criteria Decision Making

Author : Cengiz Kahraman
Publisher : Springer Science & Business Media
ISBN 13 : 0387768130
Total Pages : 591 pages
Book Rating : 4.3/5 (877 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Multi-Criteria Decision Making by : Cengiz Kahraman

Download or read book Fuzzy Multi-Criteria Decision Making written by Cengiz Kahraman and published by Springer Science & Business Media. This book was released on 2008-08-09 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

Fuzzy Multiple Attribute Decision Making

Author : Shu-Jen Chen
Publisher : Springer Science & Business Media
ISBN 13 : 3642467687
Total Pages : 552 pages
Book Rating : 4.6/5 (424 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Multiple Attribute Decision Making by : Shu-Jen Chen

Download or read book Fuzzy Multiple Attribute Decision Making written by Shu-Jen Chen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is intended for an advanced undergraduate or graduate course as well as for researchers, who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous works: "Multiple Objective Decision Making--Methods and Applications: A state-of-the-Art Survey" (No.164 of the Lecture Notes); "Multiple Attribute Decision Making--Methods and Applications: A State-of-the-Art Survey" (No.186 of the Lecture Notes); and "Group Decision Making under Multiple Criteria--Methods and Applications" (No.281 of the Lecture Notes). In this monograph, the literature on methods of fuzzy Multiple Attribute Decision Making (MADM) has been reviewed thoroughly and critically, and classified systematically. This study provides readers with a capsule look into the existing methods, their characteristics, and applicability to the analysis of fuzzy MADM problems. The basic concepts and algorithms from the classical MADM methods have been used in the development of the fuzzy MADM methods. We give an overview of the classical MADM in Chapter II. Chapter III presents the basic concepts and mathematical operations of fuzzy set theory with simple numerical examples in a easy-to-read and easy-to-follow manner. Fuzzy MADM methods basically consist of two phases: (1) the aggregation of the performance scores with respect to all the attributes for each alternative, and (2) the rank ordering of the alternatives according to the aggregated scores.

Uncertain Multi-Attribute Decision Making

Author : Zeshui Xu
Publisher : Springer
ISBN 13 : 3662456400
Total Pages : 375 pages
Book Rating : 4.6/5 (624 download)

DOWNLOAD NOW!

Book Synopsis Uncertain Multi-Attribute Decision Making by : Zeshui Xu

Download or read book Uncertain Multi-Attribute Decision Making written by Zeshui Xu and published by Springer. This book was released on 2015-02-05 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a reference guide for researchers and practitioners working in e.g. the fields of operations research, information science, management science and engineering. It can also be used as a textbook for postgraduate and senior undergraduate students.

Fuzzy Decision Analysis: Multi Attribute Decision Making Approach

Author : Farhad Hosseinzadeh Lotfi
Publisher : Springer Nature
ISBN 13 : 3031447425
Total Pages : 362 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Decision Analysis: Multi Attribute Decision Making Approach by : Farhad Hosseinzadeh Lotfi

Download or read book Fuzzy Decision Analysis: Multi Attribute Decision Making Approach written by Farhad Hosseinzadeh Lotfi and published by Springer Nature. This book was released on 2023-11-24 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authored by a leading expert in the field, this book introduces an innovative methodology that harnesses the power of fuzzy logic to enhance decision-making in multi-attribute scenarios. In a world of complexity and uncertainty, effective decision-making is paramount. Springer proudly presents a cutting-edge publication that revolutionizes decision analysis: "Fuzzy Decision Analysis: Multi-attribute Decision-Making Approach." This book stands at the forefront of decision analysis, introducing the integration of fuzzy logic into multi-attribute decision-making. It is a transformative journey into the realm of advanced decision analysis. It book not only equips you with the knowledge to comprehend the theoretical underpinnings but also empowers you to apply these insights in practical scenarios. This book serves as your indispensable companion. Its comprehensive coverage serves as a beacon, guiding you through the intricate maze of fuzzy logic and multi-attribute decision-making, ultimately empowering you to embrace innovation and master the art of making well-informed decisions in an ever-changing world.

Multi-Attribute Decision-Making Based on Preference Perspective with Interval Neutrosophic Sets in Venture Capital

Author : Yanran Hong
Publisher : Infinite Study
ISBN 13 :
Total Pages : 13 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Multi-Attribute Decision-Making Based on Preference Perspective with Interval Neutrosophic Sets in Venture Capital by : Yanran Hong

Download or read book Multi-Attribute Decision-Making Based on Preference Perspective with Interval Neutrosophic Sets in Venture Capital written by Yanran Hong and published by Infinite Study. This book was released on with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy information in venture capital can be well expressed by neutrosophic numbers, and TODIM method is an effective tool for multi-attribute decision-making. The distance measure is an essential step in TODIM method. The keystone of this paper is to define several new distance measures, in particular the improved interval neutrosophic Euclidean distance, and these measures are applied in the TODIM method for multi-attribute decision-making. Firstly, the normalized generalized interval neutrosophic Hausdorff distance is defined and proved to be valid in this paper. Secondly, we define a weighted parameter interval neutrosophic distance and discuss whether different weight parameters affect the decision result based on TODIM method. Thirdly, considering the preference perspective of decision-makers in behavioral economics, we define the improved interval neutrosophic Euclidean distance with the known parameter of risk preference. Finally, an application example is given to compare the effects of different parameters on the result and discuss the feasibility of these two distance measures in TODIM method.

Multi-criteria Decision Making Methods with Bipolar Fuzzy Sets

Author : Muhammad Akram
Publisher : Springer Nature
ISBN 13 : 9819905699
Total Pages : 232 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Multi-criteria Decision Making Methods with Bipolar Fuzzy Sets by : Muhammad Akram

Download or read book Multi-criteria Decision Making Methods with Bipolar Fuzzy Sets written by Muhammad Akram and published by Springer Nature. This book was released on 2023-05-21 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph discusses the theoretical and practical development of multicriteria decision making (MCDM). The main purpose of MCDM is the construction of systematized strategies for the "optimisation" of feasible options, as well as the justification of why some alternatives can be declared "optimal". However, at time, we must make decisions in an uncertain environment and such inconvenience gives rise to a much more elaborate scenario. This book highlights models where this lack of certainty can be flexibly fitted in and goes on to explore valuable strategies for making decisions under a multiplicity of criteria. Methods discussed include bipolar fuzzy TOPSIS method, bipolar fuzzy ELECTRE-I method, bipolar fuzzy ELECTRE-II method, bipolar fuzzy VIKOR method, bipolar fuzzy PROMETHEE method, and two-tuple linguistic bipolar fuzzy Heronian mean operators. This book is a valuable resource for researchers, computer scientists, and social scientists alike.

Theoretical and Practical Advancements for Fuzzy System Integration

Author : Li, Deng-Feng
Publisher : IGI Global
ISBN 13 : 1522518495
Total Pages : 415 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Theoretical and Practical Advancements for Fuzzy System Integration by : Li, Deng-Feng

Download or read book Theoretical and Practical Advancements for Fuzzy System Integration written by Li, Deng-Feng and published by IGI Global. This book was released on 2017-01-05 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: In real management situations, uncertainty is inherently present in decision making. As such, it is increasingly imperative to research and develop new theories and methods of fuzzy sets. Theoretical and Practical Advancements for Fuzzy System Integration is a pivotal reference source for the latest scholarly research on the importance of expressing and measuring fuzziness in order to develop effective and practical decision making models and methods. Featuring coverage on an expansive range of perspectives and topics, such as fuzzy logic control, intuitionistic fuzzy set theory, and defuzzification, this book is ideally designed for academics, professionals, and researchers seeking current research on theoretical frameworks and real-world applications in the area of fuzzy sets and systems.

Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information

Author : Muhammad Akram
Publisher : Springer Nature
ISBN 13 : 3031436369
Total Pages : 564 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information by : Muhammad Akram

Download or read book Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information written by Muhammad Akram and published by Springer Nature. This book was released on 2024-01-04 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making. It reports on set of hybrid models developed by the authors, and show how they can be adapted, case by case, to the lack of certainty under a variety of criteria. Among them, hybrid models combining m-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, and m-polar hesitant fuzzy sets and hesitant m-polar fuzzy are presented, together with some significant applications. In turn, outranking decision-making techniques such as m-polar fuzzy ELECTRE I, II, III and IV methods, as well as m-polar fuzzy PROMETHEE I and II methods, are developed. The efficiency of these decision-making procedures, as well as other possible extensions studied by the authors, is shown in some real-world applications. Overall, this book offers a guide on methodologies to deal with the multi-polarity and fuzziness of the real-world problems, simultaneously. By including algorithms and computer programming codes, it provides a practice-oriented reference guide to both researchers and professionals working at the interface between computational intelligence and decision making.

Pythagorean Fuzzy Sets

Author : Harish Garg
Publisher : Springer Nature
ISBN 13 : 9811619891
Total Pages : 443 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Pythagorean Fuzzy Sets by : Harish Garg

Download or read book Pythagorean Fuzzy Sets written by Harish Garg and published by Springer Nature. This book was released on 2021-07-22 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of recent research on topics related to Pythagorean fuzzy set, dealing with dynamic and complex decision-making problems. It discusses a wide range of theoretical and practical information to the latest research on Pythagorean fuzzy sets, allowing readers to gain an extensive understanding of both fundamentals and applications. It aims at solving various decision-making problems such as medical diagnosis, pattern recognition, construction problems, technology selection, and more, under the Pythagorean fuzzy environment, making it of much value to students, researchers, and professionals associated with the field.

Multiple Criteria Decision Making with Fuzzy Sets

Author : Babek Erdebilli
Publisher : Springer Nature
ISBN 13 : 3030988724
Total Pages : 215 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Multiple Criteria Decision Making with Fuzzy Sets by : Babek Erdebilli

Download or read book Multiple Criteria Decision Making with Fuzzy Sets written by Babek Erdebilli and published by Springer Nature. This book was released on 2022-06-28 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using numerical examples to illustrate their concepts and results, this book examines recently developed fuzzy multi-criteria methods, such as Intuitionistic Fuzzy TOPSIS, Intuitionistic Fuzzy TOPSIS & DEA-AHP, Intuitionistic VIKOR, Pythagorean WASPAS, Pythagorean ENTROPI, Hesitant CBD, Hesitant MABAC, Triangular EDAS, Triangular PROMETHEE, q-Rung Orthopair COPRAS, and Fuzzy Type – 2 ELECTRE. Each chapter covers practical applications in addition to fresh developments and results. Given its structure and scope, the book can be used as a textbook in graduate courses on operations research and industrial engineering. It also offers a valuable resource for scientists working in a range of disciplines that require multi-criteria decision making.

A New Method Based on PROMETHEE and TODIM for Multi-Attribute Decision-Making with Single-Valued Neutrosophic Sets

Author : Dongsheng Xu
Publisher : Infinite Study
ISBN 13 :
Total Pages : 12 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis A New Method Based on PROMETHEE and TODIM for Multi-Attribute Decision-Making with Single-Valued Neutrosophic Sets by : Dongsheng Xu

Download or read book A New Method Based on PROMETHEE and TODIM for Multi-Attribute Decision-Making with Single-Valued Neutrosophic Sets written by Dongsheng Xu and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, a new method based on PROMETHEE and TODIM is proposed to solve the MADM problem under the single-valued neutrosophic environment. Based on the calculation formula of inflow and outflow in PROMETHEE method, and the calculation formula of overall dominance in the TODIM method, a new integrated formula is obtained.

Multiple-Attribute Decision-Making Method Based on Normalized Geometric Aggregation Operators of Single-Valued Neutrosophic Hesitant Fuzzy Information

Download Multiple-Attribute Decision-Making Method Based on Normalized Geometric Aggregation Operators of Single-Valued Neutrosophic Hesitant Fuzzy Information PDF Online Free

Author : Li Wang
Publisher : Infinite Study
ISBN 13 :
Total Pages : 15 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Multiple-Attribute Decision-Making Method Based on Normalized Geometric Aggregation Operators of Single-Valued Neutrosophic Hesitant Fuzzy Information by : Li Wang

Download or read book Multiple-Attribute Decision-Making Method Based on Normalized Geometric Aggregation Operators of Single-Valued Neutrosophic Hesitant Fuzzy Information written by Li Wang and published by Infinite Study. This book was released on with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a generalization of both single-valued neutrosophic element and hesitant fuzzy element, single-valued neutrosophic hesitant fuzzy element (SVNHFE) is an efficient tool for describing uncertain and imprecise information. Thus, it is of great significance to deal with single-valued neutrosophic hesitant fuzzy information for many practical problems. In this paper, we study the aggregation of SVNHFEs based on some normalized operations from geometric viewpoint. Firstly, two normalized operations are defined for processing SVNHFEs. Then, a series of normalized aggregation operators which fulfill some basic conditions of a valid aggregation operator are proposed. Additionally, a decision-making method is developed for resolving multi-attribute decision-making problems based on the proposed operators.

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Author : Samarjit Kar
Publisher : MDPI
ISBN 13 : 3039211420
Total Pages : 394 pages
Book Rating : 4.0/5 (392 download)

DOWNLOAD NOW!

Book Synopsis Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding by : Samarjit Kar

Download or read book Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding written by Samarjit Kar and published by MDPI. This book was released on 2019-09-20 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

Decision Making with Spherical Fuzzy Sets

Author : Cengiz Kahraman
Publisher : Springer Nature
ISBN 13 : 3030454614
Total Pages : 551 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Decision Making with Spherical Fuzzy Sets by : Cengiz Kahraman

Download or read book Decision Making with Spherical Fuzzy Sets written by Cengiz Kahraman and published by Springer Nature. This book was released on 2020-05-27 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems. It also demonstrates that these sets provide a larger preference volume in 3D space for decision-makers. Written by authoritative researchers, the various chapters cover a large amount of theoretical and practical information, allowing readers to gain an extensive understanding of both the fundamentals and applications of spherical fuzzy sets in intelligent decision-making and mathematical programming.

Strategic Fuzzy Extensions and Decision-making Techniques

Author : Kamal Kumar
Publisher : CRC Press
ISBN 13 : 1040088694
Total Pages : 177 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Strategic Fuzzy Extensions and Decision-making Techniques by : Kamal Kumar

Download or read book Strategic Fuzzy Extensions and Decision-making Techniques written by Kamal Kumar and published by CRC Press. This book was released on 2024-07-31 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of a novel correlation coefficient of linguistic intuitionistic fuzzy sets to medical diagnosis problems provides the topic for Strategic Fuzzy Extensions and Decision-making Techniques. It further explains neutrosophic cubic set-based aggregation operators for library ranking systems, and techniques for order performance by similarity to ideal solution. The text also introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. This book: Introduces the new aggregation operators, similarity measures, and distance measures for the fuzzy sets and their extensions. Covers recent studies in the field of fuzzy optimization and decision making such as advanced decision-making algorithms. Highlights the application in the field of image processing and pattern recognition. Presents a technique for order performance by similarity to an ideal solution and VIKOR method for decision-making. Explores the limitations of existing fuzzy decision-making approaches such as the malfunctioning of existing formulations. It is primarily written for senior undergraduate, graduate students, and academic researchers in fields including industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and engineering mathematics.

Fuzzy Sets, Decision Making, and Expert Systems

Author : Hans-Jürgen Zimmermann
Publisher : Springer Science & Business Media
ISBN 13 : 9400932499
Total Pages : 342 pages
Book Rating : 4.4/5 (9 download)

DOWNLOAD NOW!

Book Synopsis Fuzzy Sets, Decision Making, and Expert Systems by : Hans-Jürgen Zimmermann

Download or read book Fuzzy Sets, Decision Making, and Expert Systems written by Hans-Jürgen Zimmermann and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed.

Neural Computing for Advanced Applications

Author : Haijun Zhang
Publisher : Springer Nature
ISBN 13 : 9811651884
Total Pages : 774 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Neural Computing for Advanced Applications by : Haijun Zhang

Download or read book Neural Computing for Advanced Applications written by Haijun Zhang and published by Springer Nature. This book was released on 2021-08-20 with total page 774 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents refereed proceedings of the Second International Conference Neural Computing for Advanced Applications, NCAA 2021, held in Guangzhou, China, in August, 2021. The 54 full papers papers were thorougly reviewed and selected from a total of 144 qualified submissions. The papers are organized in topical sections on neural network theory, cognitive sciences, neuro-system hardware implementations, and NN-based engineering applications; machine learning, data mining, data security and privacy protection, and data-driven applications; neural computing-based fault diagnosis, fault forecasting, prognostic management, and system modeling; computational intelligence, nature-inspired optimizers, and their engineering applications; fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences; control systems, network synchronization, system integration, and industrial artificial intelligence; computer vision, image processing, and their industrial applications; cloud/edge/fog computing, the Internet of Things/Vehicles(IoT/IoV), and their system optimization; spreading dynamics, forecasting, and other intelligent techniques against coronavirus disease (COVID-19).