Fuzzy-DEA모형을 이용한 한우비육농가 경영효율성 분석 = Using Fuzzy-DEA to Measure the Efficiency of Korean Cattle Farms

다국어 초록 (Multilingual Abstract)

DEA(Data Envelopment Analysis) model is a methodology for performance analysis. It is a set of LP technique used to construct empirical production frontiers and evaluates the relative efficiency of DMU(Decision Making Units) with multiple inputs and outputs by given input-output data. The DEA model is particularly very useful when a form of the production function of a DMU like an cattle farm is not known. It has also advantages that can evaluate the relative efficiency by using survey real data without trying to unify or modify units for measured data, and can provide the extend of inefficiency factors of DMUs, which is especially useful information required to improve efficiency. The assumptions underlying DEA are that all the data assume the form of specific numerical value and require a consistent and/or homogeneous operating environment. However, in real world problem as cattle farms system, the input-output data may be imprecise. Another problem in the classical DEA is its low discriminating power when evaluated DMUs are insufficient or inputs-outputs are too many relative to the number of DMUs. To resolve these problems, this study take to incorporate fuzzy set theory with classical DEA. The fuzzy set theory has been proposed as a way to quantify imprecise and vague data in DEA model. Fuzzy-DEA model enables the result to have a higher discrimination, a meaningful interpretation and comparison of the efficiency among DMUs. Simultaneously, the result of DEA offer decision makers bench-marking informations that can help to transform inefficient farms into efficient farms.

참고문헌 (Reference)

1 조석진, "한우생산기반 불안정의 배경과 한우정책" 한국농업정책학회 36 (36): 338-351, 2009

2 김윤호, "한우비육 전업농가 경영진단모형 개발" 충북대학교 2007

3 김석은, "한우브랜드농가의 경영효율성 분석" 한국농업정책학회 29 (29): 403-416, 2002

4 임성묵, "퍼지 선형계획법 해법 및 퍼지 DEA에의 적용에 관한 연구" 한국산업경영시스템학회 31 (31): 51-60, 2008

5 이준배, "퍼지 DEA모형을 이용한 양돈 전업농가의 효율성 분석" 한국농업경제학회 51 (51): 37-65, 2010

6 안동환, "비육산업의 생산성 변화분석" 39 (39): 87-111, 1998

7 권오옥, "비모수적 접근에 의한 비육우생산의 효율성 분석" 27 (27): 63-74, 2000

8 유동선, "기초퍼지이론" 교우사 2006

9 최정남, "‘농업경쟁력’ 정의 및 접근방법에 대한 고찰" 한국농촌경제연구원 32 (32): 23-46, 2009

10 Arnade, C. A., "Using data envelopment analysis to measure international agriculture efficiency and productivity" United States Department of Agriculture, Economic Research Service (1831) : 1-30, 1994

11 Liu, J., "Using Data Envelopment Analysis to Compare Suppliers for Supplier Selection and Performance Improvement" 5 (5): 143-150, 2000

12 Miller, S. M., "The Technical Efficiency of Large Bank Production" 20 : 495-509, 1996

13 Johansson, H., "Technical, Allocative, and Economic Efficiency in Swedish Dairy Farms ; The DEA versus The SFA" 2005

14 Andreu, M. L., "Sources of Inefficiency in Kansas Farms" 2006

15 Banker, R. D., "Some models for estimating technical and scale inefficiency in data envelopment analysis" 30 : 1078-1092, 1984

16 Torgersen, A. M., "Slack-Adjusted Efficiency Measures and Ranking of Deficient Units" 7 : 379-398, 1996

17 Banker, R. D., "Simulation studies of efficiency, returns to scale and misspecification with nonlinear functions in DEA" 66 : 233-253, 1996

18 Dubois, D., "Possibility Theory: An Approach to Computerized Processing of Uncertainty" Plenum Press 1988

19 Charnes, A., "Measuring the efficiency of decisionmarking units" 2 : 429-444, 1978

20 Helmers, G. A., "Measuring Scope and Scale Efficiency Gains Due to Specialization" 2005

21 Zadeh, L. A., "Fuzzy sets as a basis for a theory of possibility" 1 : 3-28, 1978

22 Kao, C., "Fuzzy efficiency Measure in data envelopment analysis" 113 : 427-437, 2000

23 Zimmermann, H. J., "Fuzzy Set Theory and Its Application" Kluwer Academic Publishers 1996

24 Lertworasirikal, S., "Fuzzy Data Envelopment Analysis: A Possibility Approach" 139 : 379-394, 2003

25 Lertworasirikal, S., "Fuzzy Data Envelopment Analysis for Supply Chain Modeling and Analysis" North Carolina State University 2001

26 Guo, P., "Fuzzy DEA: a perceptual evaluation method" 119 : 149-160, 2001

27 Kahraman, C., "Data envelopment analysis using fuzzy concept" 338-343, 1998

28 임성묵, "DEA에서 투입․산출 요소 선택 방법" 대한산업공학회 22 (22): 44-55, 2009

29 강기봉, "DEA를 이용한 제주마 사육농가의 경영효율성 분석" 한국농업정책학회 29 (29): 265-282, 2002

30 Charnes, A., "Chance-constrained programming" 6 : 73-79, 1959

31 Kaplan, R. S., "Balanced Score Card(BSC)" Harvard Business Press 1996

32 Sengupta, J. K., "A fuzzy systems approach in data envelopment analysis" 24 : 259-266, 1992