Emrouznejad, Ali.
Performance Measurement with Fuzzy Data Envelopment Analysis [electronic resource] / edited by Ali Emrouznejad, Madjid Tavana. - XIV, 288 p. 42 illus., 4 illus. in color. online resource. - Studies in Fuzziness and Soft Computing, 309 1434-9922 ; . - Studies in Fuzziness and Soft Computing, 309 .
From the Contents: The State of the Art in Fuzzy Data Envelopment Analysis -- Imprecise Data Envelopment Analysis: Concepts, Methods, and Interpretations -- A General Framework of Dealing with Qualitative Data in DEA — A Fuzzy Number Approach -- Fuzzy Data Envelopment Analysis in Composite Indicator Construction -- Cross-efficiency in Fuzzy Data Envelopment Analysis.
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.
9783642413728
10.1007/978-3-642-41372-8 doi
Engineering.
Operations research.
Engineering.
Computational Intelligence.
Operation Research/Decision Theory.
Q342
006.3
Performance Measurement with Fuzzy Data Envelopment Analysis [electronic resource] / edited by Ali Emrouznejad, Madjid Tavana. - XIV, 288 p. 42 illus., 4 illus. in color. online resource. - Studies in Fuzziness and Soft Computing, 309 1434-9922 ; . - Studies in Fuzziness and Soft Computing, 309 .
From the Contents: The State of the Art in Fuzzy Data Envelopment Analysis -- Imprecise Data Envelopment Analysis: Concepts, Methods, and Interpretations -- A General Framework of Dealing with Qualitative Data in DEA — A Fuzzy Number Approach -- Fuzzy Data Envelopment Analysis in Composite Indicator Construction -- Cross-efficiency in Fuzzy Data Envelopment Analysis.
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.
9783642413728
10.1007/978-3-642-41372-8 doi
Engineering.
Operations research.
Engineering.
Computational Intelligence.
Operation Research/Decision Theory.
Q342
006.3