Uncertain Data Envelopment Analysis

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Uncertain Data Envelopment Analysis

Author : Meilin Wen
Publisher : Springer
ISBN 13 : 366243802X
Total Pages : 157 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Uncertain Data Envelopment Analysis by : Meilin Wen

Download or read book Uncertain Data Envelopment Analysis written by Meilin Wen and published by Springer. This book was released on 2014-07-24 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to present the milestones in the progression of uncertain Data envelopment analysis (DEA). Chapter 1 gives some basic introduction to uncertain theories, including probability theory, credibility theory, uncertainty theory and chance theory. Chapter 2 presents a comprehensive review and discussion of basic DEA models. The stochastic DEA is introduced in Chapter 3, in which the inputs and outputs are assumed to be random variables. To obtain the probability distribution of a random variable, a lot of samples are needed to apply the statistics inference approach. Chapter 4 and 5 provide two uncertain DEA methods to evaluate the DMUs with limited or insufficient statistical data, named fuzzy DEA and uncertain DEA. In order to evaluate the DMUs in which uncertainty and randomness appear simultaneously, the hybrid DEA based on chance theory is presented in Chapter 6.

Uncertainty in Data Envelopment Analysis

Author : Farhad Hosseinzadeh Lotfi
Publisher : Elsevier
ISBN 13 : 0323994458
Total Pages : 348 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Uncertainty in Data Envelopment Analysis by : Farhad Hosseinzadeh Lotfi

Download or read book Uncertainty in Data Envelopment Analysis written by Farhad Hosseinzadeh Lotfi and published by Elsevier. This book was released on 2023-05-19 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classical data envelopment analysis (DEA) models use crisp data to measure the inputs and outputs of a given system. In cases such as manufacturing systems, production processes, service systems, etc., the inputs and outputs may be complex and difficult to measure with classical DEA models. Crisp input and output data are fundamentally indispensable in the conventional DEA models. If these models contain complex uncertain data, then they will become more important and practical for decision makers.Uncertainty in Data Envelopment Analysis introduces methods to investigate uncertain data in DEA models, providing a deeper look into two types of uncertain DEA methods, fuzzy DEA and belief degree-based uncertainty DEA, which are based on uncertain measures. These models aim to solve problems encountered by classical data analysis in cases where the inputs and outputs of systems and processes are volatile and complex, making measurement difficult. Introduces methods to deal with uncertain data in DEA models, as a source of information and a reference book for researchers and engineers Presents DEA models that can be used for evaluating the outputs of many reallife systems in social and engineering subjects Provides fresh DEA models for efficiency evaluation from the perspective of imprecise data Applies the fuzzy set and uncertainty theories to DEA to produce a new method of dealing with the empirical data

Network Data Envelopment Analysis

Author : Chiang Kao
Publisher : Springer
ISBN 13 : 3319317180
Total Pages : 447 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Network Data Envelopment Analysis by : Chiang Kao

Download or read book Network Data Envelopment Analysis written by Chiang Kao and published by Springer. This book was released on 2016-08-23 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) in a systematic way. The field of network DEA extends and complements conventional DEA by considering not only inputs and outputs when measuring system efficiency, but also the internal structure of the system being analyzed. By analyzing the efficiency of individual internal components, and more particularly by studying the effects of relationships among components which are modeled and implemented by means of various network structures, the “network DEA” approach is able to help identify and manage the specific components that contribute inefficiencies into the overall systems. This relatively new approach comprises an important analytical tool based on mathematical programming techniques, with valuable implications to production and operations management. The existing models for measuring the efficiency of systems of specific network structures are also discussed, and the relationships between the system and component efficiencies are explored. This book should be able to inspire new research and new applications based on the current state of the art. Performance evaluation is an important task in management, and is needed to (i) better understand the past accomplishments of an organization and (ii) plan for its future development. However, this task becomes rather challenging when multiple performance metrics are involved. DEA is a powerful tool to cope with such issues. For systems or operations composed of interrelated processes, managers need to know how the performances of the various processes evaluated and how they are aggregated to form the overall performance of the system. This book provides an advanced exposition on performance evaluation of systems with network structures. It explores the network nature of most production and operation systems, and explains why network analyses are necessary.

Incorporating Uncertainty Into Allocative Data Envelopment Analysis

Author : Donna L. Retzlaff-Roberts
Publisher :
ISBN 13 :
Total Pages : 314 pages
Book Rating : 4.:/5 (235 download)

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Book Synopsis Incorporating Uncertainty Into Allocative Data Envelopment Analysis by : Donna L. Retzlaff-Roberts

Download or read book Incorporating Uncertainty Into Allocative Data Envelopment Analysis written by Donna L. Retzlaff-Roberts and published by . This book was released on 1990 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

Author : Joe Zhu
Publisher : Springer Science & Business Media
ISBN 13 : 0387716076
Total Pages : 334 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis by : Joe Zhu

Download or read book Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis written by Joe Zhu and published by Springer Science & Business Media. This book was released on 2007-06-08 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.

Handbook on Data Envelopment Analysis

Author : William W. Cooper
Publisher : Springer Science & Business Media
ISBN 13 : 1441961518
Total Pages : 513 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Handbook on Data Envelopment Analysis by : William W. Cooper

Download or read book Handbook on Data Envelopment Analysis written by William W. Cooper and published by Springer Science & Business Media. This book was released on 2011-08-23 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research. It defines the state-of-the-art of DEA methodology and its uses. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are generally major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, which, in the present issue extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, engineering, health care, and services. The handbook's chapters are organized into two categories: (i) basic DEA models, concepts, and their extensions, and (ii) DEA applications. First edition contributors have returned to update their work. The second edition includes updated versions of selected first edition chapters. New chapters have been added on: different approaches with no need for a priori choices of weights (called “multipliers) that reflect meaningful trade-offs, construction of static and dynamic DEA technologies, slacks-based model and its extensions, DEA models for DMUs that have internal structures network DEA that can be used for measuring supply chain operations, Selection of DEA applications in the service sector with a focus on building a conceptual framework, research design and interpreting results.

Uncertain Range Directional Measure Model Under Deep Uncertainty

Author : Pejman Peykani
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Uncertain Range Directional Measure Model Under Deep Uncertainty by : Pejman Peykani

Download or read book Uncertain Range Directional Measure Model Under Deep Uncertainty written by Pejman Peykani and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional data envelopment analysis (DEA) models cannot deal with negative and uncertain values. Accordingly, the main objective of current study is to present a novel robust data envelopment analysis (RDEA) approach that is capable to be used in the presence of negative values and uncertain data. Notably, to propose RDEA approach, range directional measure (RDM) model and robust convex programming approach are employed. Finally, the applicability and efficacy of the proposed robust range directional measure (RRDM) model is demonstrated by assessing the relative performance of 15 stocks from Tehran stock exchange. The results indicate on the efficacy of the presented RRDM model for performance measurement of DMUs in the presence of negative values and uncertainty environment.

Advances in DEA Theory and Applications

Author : Kaoru Tone
Publisher : John Wiley & Sons
ISBN 13 : 1118946707
Total Pages : 579 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Advances in DEA Theory and Applications by : Kaoru Tone

Download or read book Advances in DEA Theory and Applications written by Kaoru Tone and published by John Wiley & Sons. This book was released on 2017-04-12 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: A key resource and framework for assessing the performance of competing entities, including forecasting models Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models. It helps readers to determine the most appropriate methodology in order to make the most accurate decisions for implementation. Written by a noted expert in the field, this text provides a review of the latest advances in DEA theory and applications to the field of forecasting. Designed for use by anyone involved in research in the field of forecasting or in another application area where forecasting drives decision making, this text can be applied to a wide range of contexts, including education, health care, banking, armed forces, auditing, market research, retail outlets, organizational effectiveness, transportation, public housing, and manufacturing. This vital resource: Explores the latest developments in DEA frameworks for the performance evaluation of entities such as public or private organizational branches or departments, economic sectors, technologies, and stocks Presents a novel area of application for DEA; namely, the performance evaluation of forecasting models Promotes the use of DEA to assess the performance of forecasting models in a wide area of applications Provides rich, detailed examples and case studies Advances in DEA Theory and Applications includes information on a balanced benchmarking tool that is designed to help organizations examine their assumptions about their productivity and performance.

Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

Author : M. Kenan Terzioğlu
Publisher : Springer Nature
ISBN 13 : 3030852547
Total Pages : 607 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advances in Econometrics, Operational Research, Data Science and Actuarial Studies by : M. Kenan Terzioğlu

Download or read book Advances in Econometrics, Operational Research, Data Science and Actuarial Studies written by M. Kenan Terzioğlu and published by Springer Nature. This book was released on 2022-01-17 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields. The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes. This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

Data Envelopment Analysis with R

Author : Farhad Hosseinzadeh Lotfi
Publisher : Springer
ISBN 13 : 3030242773
Total Pages : 236 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Data Envelopment Analysis with R by : Farhad Hosseinzadeh Lotfi

Download or read book Data Envelopment Analysis with R written by Farhad Hosseinzadeh Lotfi and published by Springer. This book was released on 2019-07-23 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the use of R codes for optimization problems. First, it provides the necessary background to understand data envelopment analysis (DEA), with a special emphasis on fuzzy DEA. It then describes DEA models, including fuzzy DEA models, and shows how to use them to solve optimization problems with R. Further, it discusses the main advantages of R in optimization problems, and provides R codes based on real-world data sets throughout. Offering a comprehensive review of DEA and fuzzy DEA models and the corresponding R codes, this practice-oriented reference guide is intended for masters and Ph.D. students in various disciplines, as well as practitioners and researchers.

Handbook of Operations Analytics Using Data Envelopment Analysis

Author : Shiuh-Nan Hwang
Publisher : Springer
ISBN 13 : 1489977058
Total Pages : 511 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Handbook of Operations Analytics Using Data Envelopment Analysis by : Shiuh-Nan Hwang

Download or read book Handbook of Operations Analytics Using Data Envelopment Analysis written by Shiuh-Nan Hwang and published by Springer. This book was released on 2016-07-01 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook focuses on Data Envelopment Analysis (DEA) applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness. In fact, the handbook demonstrates that DEA can be viewed as Data Envelopment Analytics. Chapters include a review of cross-efficiency evaluation; a case study on measuring the environmental performance of OECS countries; how to select a set of performance metrics in DEA with an application to American banks; a relational network model to take the operations of individual periods into account in measuring efficiencies; how the efficient frontier methods DEA and stochastic frontier analysis (SFA) can be used synergistically; and how to integrate DEA and multidimensional scaling. In other chapters, authors construct a dynamic three-stage network DEA model; a bootstrapping based methodology to evaluate returns to scale and convexity assumptions in DEA; hybridizing DEA and cooperative games; using DEA to represent the production technology and directional distance functions to measure band performance; an input-specific Luenberger energy and environmental productivity indicator; and the issue of reference set by differentiating between the uniquely found reference set and the unary and maximal types of the reference set. Finally, additional chapters evaluate and compare the technological advancement observed in different hybrid electric vehicles (HEV) market segments over the past 15 years; radial measurement of efficiency for the production process possessing multi-components under different production technologies; issues around the use of accounting information in DEA; how to use DEA environmental assessment to establish corporate sustainability; a summary of research efforts on DEA environmental assessment applied to energy in the last 30 years; and an overview of DEA and how it can be utilized alone and with other techniques to investigate corporate environmental sustainability questions.

Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis

Author : Toshiyuki Sueyoshi
Publisher : John Wiley & Sons
ISBN 13 : 1118979338
Total Pages : 721 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis by : Toshiyuki Sueyoshi

Download or read book Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis written by Toshiyuki Sueyoshi and published by John Wiley & Sons. This book was released on 2018-02-02 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces a bold, new model for energy industry pollution prevention and sustainable growth Balancing industrial pollution prevention with economic growth is one of the knottiest problems faced by industry today. This book introduces a novel approach to using data envelopment analysis (DEA) as a powerful tool for achieving that balance in the energy industries—the world’s largest producers of greenhouse gases. It describes a rigorous framework that integrates elements of the social sciences, corporate strategy, regional economics, energy economics, and environmental policy, and delivers a methodology and a set of strategies for promoting green innovation while solving key managerial challenges to greenhouse gas reduction and business growth. In writing this book the authors have drawn upon their pioneering work and considerable experience in the field to develop an unconventional, holistic approach to using DEA to assess key aspects of sustainability development. The book is divided into two sections, the first of which lays out a conventional framework of DEA as the basis for new research directions. In the second section, the authors delve into conceptual and methodological extensions of conventional DEA for solving problems of environmental assessment in all contemporary energy industry sectors. Introduces a powerful new approach to using DEA to achieve pollution prevention, sustainability, and business growth Covers the fundamentals of DEA, including theory, statistical models, and practical issues of conventional applications of DEA Explores new statistical modeling strategies and explores their economic and business implications Examines applications of DEA to environmental analysis across the complete range of energy industries, including coal, petroleum, shale gas, nuclear energy, renewables, and more Summarizes important studies and nearly 800 peer reviewed articles on energy, the environment, and sustainability Environmental Assessment on Energy and Sustainability by Data Envelopment Analysis is must-reading for researchers, academics, graduate students, and practitioners in the energy industries, as well as government officials and policymakers tasked with regulating the environmental impacts of industrial pollution.

Creative Business and Social Innovations for a Sustainable Future

Author : Miroslav Mateev
Publisher : Springer
ISBN 13 : 3030016625
Total Pages : 306 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Creative Business and Social Innovations for a Sustainable Future by : Miroslav Mateev

Download or read book Creative Business and Social Innovations for a Sustainable Future written by Miroslav Mateev and published by Springer. This book was released on 2019-01-10 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents high-quality research papers presented at the 1st AUE International research conference, AUEIRC 2017, organized by the American University in the Emirates, Dubai, held on November 15th-16th, 2017. The book is broadly divided into three sections: Creative Business and Social Innovation, Creative Industries and Social Innovation, Education and Social Innovation. The areas covered under these sections are credit risk assessment and vector machine-based data analytics, entry mode choice for MNE, risk exposure, liquidity and bank performance, modern and traditional asset allocation models, bitcoin price volatility estimation models, digital currencies, cooperative classification system for credit scoring, trade-off between FDI, GDP and unemployment, sustainable management in the development of SMEs, smart art for smart cities, smart city services and quality of life, effective drivers of organizational agility, enterprise product management, DEA modeling with fuzzy uncertainty, optimization model for stochastic cooperative games, social media advertisement and marketing, social identification, brand image and customer satisfaction, social media and disaster management, corporate e-learning system, learning analytics, socially innovating international education, integration of applied linguistics and business communication in education, cognitive skills in multimedia, creative pedagogies in fashion design education, on-line summative assessment and academic performance, cloud concept and multimedia-based learning in higher education, hybrid alliances and security risks, industry and corporate security significance, legal regulation and governance. The papers in this book present high-quality original research work, findings and practical development experiences, and solutions for a sustainable future.

Robustness Analysis in Decision Aiding, Optimization, and Analytics

Author : Michael Doumpos
Publisher : Springer
ISBN 13 : 3319331213
Total Pages : 337 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Robustness Analysis in Decision Aiding, Optimization, and Analytics by : Michael Doumpos

Download or read book Robustness Analysis in Decision Aiding, Optimization, and Analytics written by Michael Doumpos and published by Springer. This book was released on 2016-07-12 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. It offers a comprehensive illustration of the challenges that robustness raises in different operations research and management science (OR/MS) contexts and the methodologies proposed from multiple perspectives. Aside from covering recent methodological developments, this volume also features applications of robust techniques in engineering and management, thus illustrating the robustness issues raised in real-world problems and their resolution within advances in OR/MS methodologies. Robustness analysis seeks to address issues by promoting solutions, which are acceptable under a wide set of hypotheses, assumptions and estimates. In OR/MS, robustness has been mostly viewed in the context of optimization under uncertainty. Several scholars, however, have emphasized the multiple facets of robustness analysis in a broader OR/MS perspective that goes beyond the traditional framework, seeking to cover the decision support nature of OR/MS methodologies as well. As new challenges emerge in a “big-data'” era, where the information volume, speed of flow, and complexity increase rapidly, and analytics play a fundamental role for strategic and operational decision-making at a global level, robustness issues such as the ones covered in this book become more relevant than ever for providing sound decision support through more powerful analytic tools.

Understanding Risks and Uncertainties in Energy and Climate Policy

Author : Haris Doukas
Publisher : Springer
ISBN 13 : 3030031527
Total Pages : 271 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Understanding Risks and Uncertainties in Energy and Climate Policy by : Haris Doukas

Download or read book Understanding Risks and Uncertainties in Energy and Climate Policy written by Haris Doukas and published by Springer. This book was released on 2018-12-10 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book analyzes and seeks to consolidate the use of robust quantitative tools and qualitative methods for the design and assessment of energy and climate policies. In particular, it examines energy and climate policy performance and associated risks, as well as public acceptance and portfolio analysis in climate policy, and presents methods for evaluating the costs and benefits of flexible policy implementation as well as new framings for business and market actors. In turn, it discusses the development of alternative policy pathways and the identification of optimal switching points, drawing on concrete examples to do so. Lastly, it discusses climate change mitigation policies’ implications for the agricultural, food, building, transportation, service and manufacturing sectors.

Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International Flins Conference

Author : Cengiz Kahraman
Publisher : World Scientific
ISBN 13 : 9814417734
Total Pages : 1373 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International Flins Conference by : Cengiz Kahraman

Download or read book Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International Flins Conference written by Cengiz Kahraman and published by World Scientific. This book was released on 2012 with total page 1373 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.

Stochastic Benchmarking

Author : Alireza Amirteimoori
Publisher : Springer Nature
ISBN 13 : 3030898695
Total Pages : 154 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Stochastic Benchmarking by : Alireza Amirteimoori

Download or read book Stochastic Benchmarking written by Alireza Amirteimoori and published by Springer Nature. This book was released on 2021-12-11 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and interpretations of the mathematical programs, which are combined with economic and organizational thinking. The book’s main purpose is to shed light on the advantages of the different methods in deterministic and stochastic environments and thoroughly prepare readers to properly use these methods in various cases. Simple examples, along with graphical illustrations and real-world applications in industry, are provided for a better understanding. The models introduced here can be easily used in both theoretical and real-world evaluations. This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation.