3 edition of **Linguistic analysis of efficiency using fuzzy system theory and data envelopment analysis.** found in the catalog.

Linguistic analysis of efficiency using fuzzy system theory and data envelopment analysis.

Ozren DespiД‡

- 233 Want to read
- 14 Currently reading

Published
.

Written in English

**Edition Notes**

Thesis (Ph.D.) -- University of Toronto, 2003.

The Physical Object | |
---|---|

Pagination | 192 leaves. |

Number of Pages | 192 |

ID Numbers | |

Open Library | OL19736480M |

ISBN 10 | 061278407X |

OCLC/WorldCa | 56419204 |

Data Envelopment Analysis is a novel decision making tool based on the principle of linear programming to compare the relative operational efficiency of a set of comparable decision making units even with multiple inputs and outputs. DEA was initially developed by Charnes, Cooper, Rhodes (). Data Envelopment Analysis (DEA) evaluates the relative efficiency of decision-making units (DMUs) but does not allow for a ranking of the efficient units themselves. A modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed.

Measuring the efficiency of European education systems by combining Data Envelopment Analysis and Multiple-Criteria Evaluation 22 April | Journal of Productivity Analysis, Vol. 51, No. Performance-based resource allocation for higher education institutions in China. This book offers new transparent views and step-by-step methods for performance evaluation of a set of units using Data Envelopment Analysis (DEA). The book has twelve practical chapters. Elementary concepts and definitions are gradually built in Chapters based upon four examples of one input and one output factors, two input factors, two.

We especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, Energy, and so on. Decision Making and Performance Evaluation Using Data Envelopment Analysis (International Series in Operations Research & Management Science Book ) - Kindle edition by Khezrimotlagh, Dariush, Chen, Yao. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Decision Making and Manufacturer: Springer.

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Data envelopment analysis (DEA) is a non-parametric technique to measure the relative efficiencies of a set of decision making units (DMUs) with common crisp inputs and outputs.

Input and output data of DMUs often fluctuate. These fluctuating data can be represented as linguistic variable characterized by fuzzy by: The aim of this study is presenting a hybrid approach based on the Linguistic FMEA, Fuzzy Inference System (FIS) and Fuzzy Data Envelopment Analysis (DEA) model to calculate a novel score for.

DEA (data envelopment analysis) is a non-parametric technique for measuring and evaluating the relative efficiencies of a set of entities with common crisp inputs and outputs.

Y.M. Wang, K.S. ChinFuzzy data envelopment analysis: A fuzzy expected value approach Expert Systems with Applications, 38 (9) (), pp. Google ScholarCited by: 8.

The use of fuzzy set-theoretic measures is explored here in the context of data envelopment analysis, which utilizes a nonparametric approach to measure efficiency. Data envelopment analysis (DEA), which initially proposed by Charnes et al., is a nonparametric method for evaluating the relative efficiency of decision-making units (DMUs) on the basis of multiple inputs and outputs.

Since DEA was proposed init has been got comprehensive attention both in theory and application. Efficiency analysis of cross-region bank branches using fuzzy data envelopment analysis.

GiokasThe use of data envelopment analysis in banking institutions: evidence from the Commercial Bank of Greece. Interfaces, 30 (2) (), pp. PradeFuzzy Sets and Systems: Theory and Applications. Academic Press Inc., New York ( Comparison between DEA and proposed fuzzy DEA This subsection will set out the results of the efficiency analysis obtained with the application of classical DEA model, which involves only the use of crisp data, and the application of the fuzzy DEA model developed by the authors where the delay time is the fuzzy variable.

The study utilizes the Fuzzy Theory-based Data Envelopment Analysis to evaluate efficiency of the airlines since some of the indices (e.g. punctuality) could be subject to imprecise measurement. Using the neo-classical theory of production economics as the analytical framework, this book, first published inprovides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines.

Slack based measure (SBM) model of Data Envelopment Analysis (DEA) is very effective to evaluate the relative efficiency of decision making units (DMUs).

It deals with the directly input excess and output shortfall to assess the effect of slacks on efficiency with common crisp inputs and outputs. Efficiency measurement in fuzzy additive DEA 3 Research Branch of IAU in His research interests include data envelopment analysis, fuzzy programming and fuzzy MADM.

He has published in journals, such as Ricerca Operativa, Fuzzy Optimisation and Decision Making, Journal of Interdisciplinary Mathematics, Far East Journal. Conventional data envelopment analysis (DEA) treats a system as a whole unit when measuring efficiency, ignoring the operations of the component processes.

Network DEA, on the other hand, takes the component processes into consideration, with results that are more representative and can be used to identify inefficient components.

Data envelopment analysis (DEA) is a prominent technique to make decisions and improve alternatives based on non-parameter modeling and ratio calculation. However, an obvious difficulty to use this method is how to obtain accurate input and output data in the real application.

To address this issue, the fuzzy DEAs (FDEAs) are proposed which have been successfully applied in many real fields. Supplier Performance Evaluation Using a Hybrid Fuzzy Data Envelopment Analysis Approach / Anjali Awasthi, Khoshrow Noshad and Satyaveer Singh Chauhan.

Summary 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. One problem with data envelopment analysis we incorporate fuzzy set theory with classical DEA so that a broader aspect of evaluation could be taken into account.

We propose a method to encapsulate the efficiencies of an unit in different aspects as a fuzzy efficiency. Group decision making with a fuzzy linguistic majority. Fuzzy Sets. Dimitris K.D. and Yiannis G.S., Data envelopment analysis with imprecise data, European Journal of Operational Research (), 24– [22] Wang Y.M., Richard G.

and Yang J.B., Interval efficiency assessment using data envelopment analysis, Fuzzy Sets and Systems. Data Envelopment Analysis is one of the paramount mathematical methods to compute the general performance of organizations, which utilizes similar sources to produce similar outputs.

Original DEA schemes involve crisp information of inputs and outputs that may not always be accessible in real-world applications. Nevertheless, in some cases, the values of the data are information with. Rezaie, K., Majazi Dalfard, V., Hatami-Shirkouhi, L., Nazari-Shirkouhi, S.: Efficiency appraisal and ranking of decision-making units using data envelopment analysis in fuzzy environment: a case study of Tehran stock exchange.

Neural Comput. Appl. doi: /s (in press). 1 Introduction. Efficiency measurement is a very vital topic in management, to better understand the previous achievements and planning for future growth [].The technical efficiency can be defined by weighted sum of outputs weighted sum of inputs. Data envelopment analysis (DEA) is one of the most prominent tools for efficiency evaluation of decision making units (DMUs).

Cost Efficiency Measures with Trapezoidal Fuzzy Numbers in Data Envelopment Analysis Based on Ranking Functions: Application in Insurance Organization and Hospital: /ijfsa Cost efficiency (CE) evaluates the ability to produce current outputs at minimal cost, given its input prices.

In ordinary CE model, the input prices are.2 Data envelopment analysis. Efficiency measurement is a managerial concept that has long history in various topics of management science.

The efficiency shows that an organization to what extent uses its resources for production in the best way possible [].Data Envelopment Analysis (DEA) is a non-parametric performance assessment methodology for assessing relative efficiencies within a group.Wei G.W.

and Wang J.M., A comparative study of robust efficiency analysis and Data Envelopment Analysis with imprecise data, Expert Systems with Applications 81 (), 28– [32] Wen M.L. and Li H.S., Fuzzy data envelopment analysis (DEA): Model and ranking method, Journal of Computational and Applied Mathematics (), –