Performance measurement with fuzzy data envelopment analysis
Author(s)
Bibliographic Information
Performance measurement with fuzzy data envelopment analysis
（Studies in fuzziness and soft computing, 309）
Springer, c2014
Available at 5 libraries
Note
Includes bibliographical references
Description and Table of Contents
Description
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.
Table of 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.- Fuzzy Mix-efficiency in Fuzzy Data Envelopment Analysis and its Applications.- Ranking of Fuzzy Efficiency Measures Via Satisfaction Degree.- Inexact discretionary inputs in Data Envelopment Analysis.- Network Data Envelopment Analysis with Fuzzy Data.- Network Fuzzy Data Envelopment Analysis.- An application of Fuzzy Data Envelopment Analysis Approach for Occupational Safety.- Integrating Fuzzy Intermediate Factors in Supply Chain Efficiency Evaluation.- Supplier Evaluation and Selection Using FDEA Model.- Supplier Performance Evaluation Using a Hybrid Fuzzy Data Envelopment Analysis Approach.
by "Nielsen BookData"