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Wan Shik Ahn(安完植),Jong Yeal Choi(崔鍾烈),Wung Jik Lee(李雄稙) 한국육종학회 1987 한국육종학회지 Vol.19 No.2
Wheat-barley nucleo-cytoplasm hybrids, having barley cytoplasm was developed by three backcrosses of Chinese Spring to the inter-generic hybrid between barley, Manker 16, and wheat, Chinese Spring. Hybrids having wheat cytoplasm were higher in stem height, earlier in days to heading and showed more grains per spike than those having barley cytoplasm. Hybrids having barley cytoplasm showed thinner speltoid and oblong shaped spikes, while those having wheat cytoplasm showed oblong or clavate shaped spikes with much vigorous growth. Compared to the hybrids having wheat cytoplasm, those having barley cytoplasm were characterized to have long awns. Wheat hybrids having wheat cytoplasm showed relatively normal growth compared to those having barley cytoplasm.
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최상문,최종열 釜山 大學校 經營 經濟 硏究所 2000 經營 經濟 硏究 Vol.19 No.1
금사공업지역은 타 지역에 비해 저임금의 단순 노동력이 풍부하고 교통의 요지에 위치하여 물류비용을 절감할 수 있으며, 인근에 위치한 부산대학교 등의 우수 연구시설로부터 기술개발, 신제품개발 및 고급인력의 확보가 용이한 이점을 지니고 있는 반면, 부산시 및 인근의 타 공단지역에 비해 상대적 지가가 매우 비싸고 공장확장 공간부족 및 준공업지역으로서 산업공단이 갖추어야 할 인프라(도로망, 주차시설, 하수처리시설) 미비 등으로 인해 많은 어려움을 겪고 있다. 금사공업지역의 사업체 수와 종사자 수는 부산광역시의 2.5%와 6.6%를 점유하고 있으며 이는 비공단지역, 단일 지역으로서는 상대적으로 큰 수치이다. 그리고 최근 수년간 업체 수, 종사자 수 및 출하액을 분석해 보면 금정구 지역경제의 중요한 역할을 담당하고 있으며, 최근 지역경제에서 차지하는 비중은 점차 높아지고 있는 실정이다. 중소기업 및 벤처기업의 경영지원 활동을 통해 지역경제 활성화에 기여할 목적으로 구성된 '부산대학교 상과대학 중소기업 경영지원단'은 금사공업지역의 활성화를 위하여 유관기관의 협조 하에 현황분석, 지원기관들의 역할 및 활동 분석하였다. 2000년 1월 중 금사공업지역의 경영 상태 진단을 위한 설문조사와 2000년 2월말과 3월초에 걸쳐 설문조사에 응답한 업체들의 경영진 면담을 실시하여 금사공업지역이 가진 문제점들을 도출하고 이에 대한 해결방안을 모색하였다.
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崔鍾烈 부산대학교 과학교육연구소 1986 교사교육연구 Vol.13 No.-
As the environment of organization becomes dynamic and complex, today's decision making in business should be made, which is not based on a single criterion but based on the multiple criteria. Thus most of today's decision making in business is able to be thought as multiple criteria decision making(MCDM) or multiple objective decision making(MODM). Until now, many studies on MCDM have been presented. Hwang and Masud grouped these MCDM techniques into three cases, based on the requiring timing of preference information in decision making. These are the case where preference information is given prior to optimization, the case where preference imformation is given in the procedure of optimization, and the case where prefernce information is given after optimization. Second case is called interactive approach in MCDM. The interactive approach assumes that the decision maker is at least capable of defining which goal variables influence his preference. Futhermore, it assumes that decision maker is able to provide local preference information, i.e. information with respect to a given solution (or a given set of solutions) which is known to exist and to be feasible. The kind of local preference information required varies for each interactive procedure. With respect to the nature of preference information to be given at each iteration by the decision maker, the set of available interactive procedure can be subdivided as follows. (a) Methods in which the decision maker has to determine trade-offs among the goal variables at each iteration given the goal values in the current solution. (b) Methods in which the decision maker has to choose the 'best' solution from a limited (discrete) set of (generally efficient) solutions at each iteration. (c) Methods in which the decision maker at each iteration has to define minimum or maximum values for one or more of the goal variables, which in most methods are translated into restrictions reducing the feasible region. The union of type (a), (b) and (c) methods will be considered as the class of interactive multiple objective programming methods. Methods of type (c) will be classified interactive multiple goal programming (IMGP), and survey on methods of this type is made in this paper. This study is operated as follows. First, the basic concept of MCDM, characteristics of decision making problem and the classification of MCDM techniques are reviewed. Second, the concept, the advantages, and the elements of interactive approach methods is reviewed. And then, the classification of interactive approch is described. Third, the definition and the assumptions of IMGP, and the procedure of IMGP is described detaily, and then the censideration of linear IMGP is reviewed.
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