Farhad Hosseinzadeh Lotfi's Books

Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis

By: Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Witold Pedrycz,Mohammad Reza Mozaffari,Javad Gerami

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Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis

By: Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Witold Pedrycz,Mohammad Reza Mozaffari,Javad Gerami

The combination of DEA and ratio analysis is introduced as a suitable field for evaluating the performance of DMUs. In this regard, DEA-R is also proposed as a hybrid technique for calculating efficiency, ranking DMUs, and finding efficient faces. Therefore, the relationship between DEA and DEA-R provides a suitable field for researchers in the field of evaluating the performance of DMUs. The audience of this book is not limited to researchers in mathematics fields, but experts and students in industrial engineering and management fields also benefit from the topics of this book.

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Page Count

192

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Springer Nature

Published Date

ISBN 10

3031431812

ISBN 13

9783031431814

Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis

By: Mehdi Soltanifar,Hamid Sharafi,Farhad Hosseinzadeh Lotfi,Witold Pedrycz,Tofigh Allahviranloo

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Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis

By: Mehdi Soltanifar,Hamid Sharafi,Farhad Hosseinzadeh Lotfi,Witold Pedrycz,Tofigh Allahviranloo

This book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support. This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming. This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.

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Page Count

190

Publisher

Springer Nature

Published Date

ISBN 10

3031304039

ISBN 13

9783031304033

Supply Chain Performance Evaluation

Application of Data Envelopment Analysis

By: Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Morteza Shafiee,Hilda Saleh

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Supply Chain Performance Evaluation

Application of Data Envelopment Analysis

By: Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Morteza Shafiee,Hilda Saleh

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.

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Page Count

453

Publisher

Springer Nature

Published Date

ISBN 10

3031282477

ISBN 13

9783031282478

Fuzzy Decision Analysis: Multi Attribute Decision Making Approach

By: Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Witold Pedrycz,Mohammadreza Shahriari,Hamid Sharafi,Somayeh Razipour GhalehJough

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Fuzzy Decision Analysis: Multi Attribute Decision Making Approach

By: Farhad Hosseinzadeh Lotfi,Tofigh Allahviranloo,Witold Pedrycz,Mohammadreza Shahriari,Hamid Sharafi,Somayeh Razipour GhalehJough

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.

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Page Count

362

Publisher

Springer Nature

Published Date

ISBN 10

3031447425

ISBN 13

9783031447426

Data Envelopment Analysis with R

By: Farhad Hosseinzadeh Lotfi,Ali Ebrahimnejad,Mohsen Vaez-Ghasemi,Zohreh Moghaddas

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Data Envelopment Analysis with R

By: Farhad Hosseinzadeh Lotfi,Ali Ebrahimnejad,Mohsen Vaez-Ghasemi,Zohreh Moghaddas

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.

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Page Count

248

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Springer

Published Date

ISBN 10

3030242773

ISBN 13

9783030242770

Uncertainty in Data Envelopment Analysis

Fuzzy and Belief Degree-Based Uncertainties

By: Farhad Hosseinzadeh Lotfi,Masoud Sanei,Ali Asghar Hosseinzadeh,Sadegh Niroomand,Ali Mahmoodirad

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Uncertainty in Data Envelopment Analysis

Fuzzy and Belief Degree-Based Uncertainties

By: Farhad Hosseinzadeh Lotfi,Masoud Sanei,Ali Asghar Hosseinzadeh,Sadegh Niroomand,Ali Mahmoodirad

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

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