Performance Measurement with Fuzzy Data Envelopment Analysis [electronic resource] /
Emrouznejad, Ali.editor.
Tavana, Madjid.editor.
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.
Bibliographic Level Mode of Issuance: Monograph
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.
Computational intelligence.
Operations research.
Decision making.
Computational Intelligence.
Operations Research/Decision Theory.
Studies in fuzziness and soft computing