The Signed Distance Measure In Fuzzy Statistical Analysis

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The Signed Distance Measure in Fuzzy Statistical Analysis

Author : Rédina Berkachy
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2021
Category : Electronic
ISBN : 3030769178

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The Signed Distance Measure in Fuzzy Statistical Analysis by Rédina Berkachy Pdf

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy. The proposed method for estimating these intervals is based on the likelihood method and employs the bootstrap technique. A new metric generalizing the signed distance measure is also developed. In turn, the book presents two conceptually diverse applications in which defended intervals play a role: one is a novel methodology for evaluating linguistic questionnaires developed at the global and individual levels; the other is an extension of the multi-ways analysis of variance to the space of fuzzy sets. To illustrate these approaches, the book presents several empirical and simulation-based studies with synthetic and real data sets. In closing, it presents a coherent R package called "FuzzySTs" which covers all the previously mentioned concepts with full documentation and selected use cases. Given its scope, the book will be of interest to all researchers whose work involves advanced fuzzy statistical methods.

The Signed Distance Measure in Fuzzy Statistical Analysis

Author : Rédina Berkachy
Publisher : Springer Nature
Page : 356 pages
File Size : 47,9 Mb
Release : 2021-10-31
Category : Computers
ISBN : 9783030769161

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The Signed Distance Measure in Fuzzy Statistical Analysis by Rédina Berkachy Pdf

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy. The proposed method for estimating these intervals is based on the likelihood method and employs the bootstrap technique. A new metric generalizing the signed distance measure is also developed. In turn, the book presents two conceptually diverse applications in which defended intervals play a role: one is a novel methodology for evaluating linguistic questionnaires developed at the global and individual levels; the other is an extension of the multi-ways analysis of variance to the space of fuzzy sets. To illustrate these approaches, the book presents several empirical and simulation-based studies with synthetic and real data sets. In closing, it presents a coherent R package called “FuzzySTs” which covers all the previously mentioned concepts with full documentation and selected use cases. Given its scope, the book will be of interest to all researchers whose work involves advanced fuzzy statistical methods.

Performance Measurement with Fuzzy Data Envelopment Analysis

Author : Ali Emrouznejad,Madjid Tavana
Publisher : Springer
Page : 293 pages
File Size : 52,5 Mb
Release : 2013-11-29
Category : Technology & Engineering
ISBN : 9783642413728

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Performance Measurement with Fuzzy Data Envelopment Analysis by Ali Emrouznejad,Madjid Tavana Pdf

The intensity of global competition and ever-increasing economic uncertainties has led organizations to search for more efficient and effective ways to manage their business operations. Data envelopment analysis (DEA) has been widely used as a conceptually simple yet powerful tool for evaluating organizational productivity and performance. Fuzzy DEA (FDEA) is a promising extension of the conventional DEA proposed for dealing with imprecise and ambiguous data in performance measurement problems. This book is the first volume in the literature to present the state-of-the-art developments and applications of FDEA. It is designed for students, educators, researchers, consultants and practicing managers in business, industry, and government with a basic understanding of the DEA and fuzzy logic concepts.

Fuzzy Statistical Inferences Based on Fuzzy Random Variables

Author : Gholamreza Hesamian
Publisher : CRC Press
Page : 313 pages
File Size : 54,7 Mb
Release : 2022-02-24
Category : Mathematics
ISBN : 9781000539776

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Fuzzy Statistical Inferences Based on Fuzzy Random Variables by Gholamreza Hesamian Pdf

This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas used in statistical inferences in one place, based on fuzzy information including fuzzy data. This book covers a much wider range of topics than a typical introductory text on fuzzy statistics. It includes common topics like elementary probability, descriptive statistics, hypothesis tests, one-way ANOVA, control-charts, reliability systems and regression models. The reader is assumed to know calculus and a little fuzzy set theory. The conventional knowledge of probability and statistics is required. Key Features: Includes example in Mathematica and MATLAB. Contains theoretical and applied exercises for each section. Presents various popular methods for analyzing fuzzy data. The book is suitable for students and researchers in statistics, social science, engineering, and economics, and it can be used at graduate and P.h.D level.

Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis

Author : Xiaolu Zhang,Zeshui Xu
Publisher : Springer
Page : 191 pages
File Size : 54,8 Mb
Release : 2016-10-08
Category : Technology & Engineering
ISBN : 9783319420011

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Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis by Xiaolu Zhang,Zeshui Xu Pdf

The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making.

Fuzzy Cluster Analysis

Author : Frank Höppner,Frank Klawonn,Rudolf Kruse,Thomas Runkler
Publisher : John Wiley & Sons
Page : 308 pages
File Size : 55,9 Mb
Release : 1999-07-09
Category : Science
ISBN : 0471988642

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Fuzzy Cluster Analysis by Frank Höppner,Frank Klawonn,Rudolf Kruse,Thomas Runkler Pdf

Dieser Band konzentriert sich auf Konzepte, Algorithmen und Anwendungen des Fuzzy Clustering. In sich geschlossen werden Techniken wie das Fuzzy-c-Mittel und die Gustafson-Kessel- und Gath- und Gava-Algorithmen behandelt, wobei vom Leser keine Vorkenntnisse auf dem Gebiet von Fuzzy-Systemen erwartet werden. Durch anschauliche Anwendungsbeispiele eignet sich das Buch als Einführung für Praktiker der Datenanalyse, der Bilderkennung und der angewandten Mathematik. (05/99)

Network Data Envelopment Analysis

Author : Chiang Kao
Publisher : Springer Nature
Page : 483 pages
File Size : 55,6 Mb
Release : 2023-07-24
Category : Business & Economics
ISBN : 9783031275937

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Network Data Envelopment Analysis by Chiang Kao Pdf

This second edition systematically presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA). It discusses the models used to measure the efficiency of systems in specific network structures and introduces readers to the latest applications. It demonstrates how the “network DEA” approach helps identify and manage the specific components that cause inefficiencies in the overall system. The existing models for measuring the efficiency of systems in specific network structures are also discussed, and the relationships between system efficiency and component efficiency are explored. Moreover, the book provides an advanced exposition on performance evaluation of systems with network structures. It explores the networked nature of most production and operation systems, and explains why network analyses are necessary. Accordingly, the book will inspire new research and applications based on the state of the art. In this new edition, the latest research advances and discoveries are discussed. Two new chapters on Linkage Efficiency and External and Internal Evaluations have been added. This book is mainly aimed at researchers and graduate students who are interested in performance evaluation, DEA, and multi-criteria decision analysis. Practitioners who want to measure the performance of production, operation, or any type of decision-making units will also find it useful.

The Consistency between Cross-Entropy and Distance Measures in Fuzzy Sets

Author : Yameng Wang, Han Yang,Keyun Qin
Publisher : Infinite Study
Page : 11 pages
File Size : 53,6 Mb
Release : 2024-07-01
Category : Mathematics
ISBN : 8210379456XXX

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The Consistency between Cross-Entropy and Distance Measures in Fuzzy Sets by Yameng Wang, Han Yang,Keyun Qin Pdf

The processing of uncertain information is increasingly becoming a hot topic in the artificial intelligence field, and the information measures of uncertainty information processing are also becoming of importance. In the process of decision-making, decision-makers make decisions mostly according to information measures such as similarity, distance, entropy, and cross-entropy in order to choose the best one. However, we found that many researchers apply cross-entropy to multi-attribute decision-making according to the minimum principle, which is in accordance with the principle of distance measures.

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics

Author : Florentin Smarandache,Muhammad Aslam
Publisher : Elsevier
Page : 495 pages
File Size : 48,5 Mb
Release : 2023-02-11
Category : Computers
ISBN : 9780323994576

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Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics by Florentin Smarandache,Muhammad Aslam Pdf

Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data. Introduces the field of neutrosophic statistics and how it can solve problems working with indeterminate (imprecise, ambiguous, vague, incomplete, unknown) data Presents various applications of neutrosophic statistics in the fields of bioinformatics, medicine, cognitive science and agriculture Provides practical examples and definitions of neutrosophic statistics in relation to the various types of indeterminacies

Uncertainty Modelling in Data Science

Author : Sébastien Destercke,Thierry Denoeux,María Ángeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer
Page : 234 pages
File Size : 44,8 Mb
Release : 2018-07-24
Category : Technology & Engineering
ISBN : 9783319975474

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Uncertainty Modelling in Data Science by Sébastien Destercke,Thierry Denoeux,María Ángeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz Pdf

This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17–21, 2018. It includes foundational, methodological and applied contributions on topics as varied as imprecise data handling, linguistic summaries, model coherence, imprecise Markov chains, and robust optimisation. These proceedings were produced using EasyChair. Over recent decades, interest in extensions and alternatives to probability and statistics has increased significantly in diverse areas, including decision-making, data mining and machine learning, and optimisation. This interest stems from the need to enrich existing models, in order to include different facets of uncertainty, like ignorance, vagueness, randomness, conflict or imprecision. Frameworks such as rough sets, fuzzy sets, fuzzy random variables, random sets, belief functions, possibility theory, imprecise probabilities, lower previsions, and desirable gambles all share this goal, but have emerged from different needs. The advances, results and tools presented in this book are important in the ubiquitous and fast-growing fields of data science, machine learning and artificial intelligence. Indeed, an important aspect of some of the learned predictive models is the trust placed in them. Modelling the uncertainty associated with the data and the models carefully and with principled methods is one of the means of increasing this trust, as the model will then be able to distinguish between reliable and less reliable predictions. In addition, extensions such as fuzzy sets can be explicitly designed to provide interpretable predictive models, facilitating user interaction and increasing trust.

Supply Chain Performance Evaluation

Author : Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Morteza Shafiee,Hilda Saleh
Publisher : Springer Nature
Page : 453 pages
File Size : 51,6 Mb
Release : 2023-05-02
Category : Computers
ISBN : 9783031282478

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Supply Chain Performance Evaluation by Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Morteza Shafiee,Hilda Saleh Pdf

The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field. This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model.

Risk Analysis Based on Data and Crisis Response Beyond Knowledge

Author : Chongfu Huang,Zoe Nivolianitou
Publisher : CRC Press
Page : 709 pages
File Size : 46,9 Mb
Release : 2019-10-11
Category : Science
ISBN : 9781000727999

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Risk Analysis Based on Data and Crisis Response Beyond Knowledge by Chongfu Huang,Zoe Nivolianitou Pdf

This book collects the papers presented at the 7th International Conference on Risk Analysis and Crisis Response (RACR-2019) held in Athens, Greece, on October 15-19, 2019. The overall theme of the seventh international conference on risk analysis and crisis response is Risk Analysis Based on Data and Crisis Response Beyond Knowledge, highlighting science and technology to improve risk analysis capabilities and to optimize crisis response strategy. This book contains primarily research articles of risk issues. Underlying topics include natural hazards and major (chemical) accidents prevention, disaster risk reduction and society resilience, information and communication technologies safety and cybersecurity, modern trends in crisis management, energy and resources security, critical infrastructure, nanotechnology safety and others. All topics include aspects of multidisciplinarity and complexity of safety in education and research. The book should be valuable to professors, engineers, officials, businessmen and graduate students in risk analysis and risk management.

The Journal of Fuzzy Mathematics

Author : Anonim
Publisher : Unknown
Page : 524 pages
File Size : 54,8 Mb
Release : 2007
Category : Fuzzy arithmetic
ISBN : UOM:39015072606240

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The Journal of Fuzzy Mathematics by Anonim Pdf

Data Analytics

Author : Thomas A. Runkler
Publisher : Springer Nature
Page : 161 pages
File Size : 49,7 Mb
Release : 2020-05-13
Category : Computers
ISBN : 9783658297794

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Data Analytics by Thomas A. Runkler Pdf

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

Uncertainty Management with Fuzzy and Rough Sets

Author : Rafael Bello,Rafael Falcon,José Luis Verdegay
Publisher : Springer
Page : 413 pages
File Size : 40,7 Mb
Release : 2019-01-22
Category : Technology & Engineering
ISBN : 9783030104634

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Uncertainty Management with Fuzzy and Rough Sets by Rafael Bello,Rafael Falcon,José Luis Verdegay Pdf

This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones.