Fuzzy-DEA모형을 이용한 한우비육농가 경영효율성 분석

• 영문명: (Using Fuzzy-DEA to Measure the Efficiency of Korean Cattle Farms)
• 발행기관: 한국농식품정책학회
• 저자명: 김윤호(Yun Ho Kim) 천동원(Dong Won Chun) 박승용(Sung Yong Park) 이준배(Jun Vae Lee)
• 간행물 정보: 『농업경영.정책연구』농업경영·정책연구 38권 4호, 888~916쪽, 전체 29쪽
• 주제분류: 농수해양 > 식품과학
• 파일형태: PDF
• 발행일자: 2011.12.31

영문 초록

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 equired 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.

목차

Ⅰ. 서 론

Ⅱ. 이론모형

Ⅲ. 연구방법

Ⅳ. 분석결과

Ⅵ. 결론 및 요약

키워드

Data Envelopment Analysis (DEA) Fuzzy-DEA