부산지역 중소제조업의 경쟁력 강화방안

이창효 세종 1996 삶의 질과 지역불균형 Vol.1996 No.1

국내 주택시장을 고려한 도시통합모델의 주거입지 하위모델 연구

이창효,이승일 한국도시부동산학회(구 도시정책학회) 2011 도시정책학회 학술대회 Vol.2011 No.1

정보산업 육성정책에의 AHP적용

한숙정,이창효 부산여자대학교 사회과학연구소 1997 사회과학연구 Vol.- No.1

. The Analytic Hierarchy Process(AHP), devised by Thomas L.Saaty in the 1970s, is an effective decision technique that would helpful to solve the decision making problem which is apt to occur in the complicated modern society Until now, the study of AHP have dealt with mainly by the personality but the level of group in the decision maker and the AHP which applied to the Group Decision Making was not so great number. So this study tried to show its appropriateness of the application that related with the Group Decision Making. This study tried to grant priority of which belong to the strategic industry among the Information Industry to promote intensively and tried to clarify that this AHP can actually apply to the Group Decision Making as effectively. The application of AHP to the Information Industry analyzed by dividing the decision makers as three groups, such as public agencies, the research institution and academic circles. The priority of alternatives was some difference per groups but seeing on the whole, the highest priority was the Information Telecommunication Service Industry. This study has an important point that the study of Group Decision Making problem related with the Information Industry using AHP.

집단의사결정을 위한 다속성 의사결정법

이창효 新羅大學校 1998 論文集 Vol.46 No.-

Modern societies are characterized by increasing knowledge, complexity, and turbulence. Within organizations, these developments imply that individual decision makers may not be able to cope with demands imposed by the dynamic environment. To address the inadequacy of individuals as decision makers, organizations have increasingly relied on groups to carry out decision making tasks. Although many decisions are made in boards, committees and councils, not by individual decision makers, the literature on multi-criteria decision analysis pays little attention to the power relations in group. Multiple criteria decision making problems are commonly categorized as continuous or discrete. A continuous problem is one in which the solution space is continuous and defined by constraints. In a discrete problem we are faced with a choice between a number of discrete alternatives. This paper will be concerned with that category of discrete problems. This paper examines two contrasting approaches for group decision making involving multiple criteria: a multiattribute utility function technique (MAUT) and the analytic hierachy process(AHP). The MAUT is a normative theory based on the traditional axiomatic assumption over lotteries, while the AHP is a descriptive theory encompassing a ranking process on criteria and alternatives. The former uses interval scales to measure the preference structure of the decision maker and the latter chooses ratio scales as the measurement for a pairwise comparision. Moreover, the AHP arrives at a group decision through a different approach. Discrete alternatives are prioritized as a result of a decomposition-synthesis process. The AHP was developed by Saaty and has been applied to a very wide range of a decision problems. Both techniques have their advantages and disadvantages in applications. These two approaches are described and analyzed to demonstrate their usefulness as a viable tool for managerial group decision making. The aim of this paper is to compare and contrast these two approaches to decision aiding from both a theoretical and practical standpoint. The strengths and weakness of each will be compared on. This will enable a decision maker or analyst to perceive more clearly the choice she would be making between the two approaches and the implications of such a choice. AHP is a well known multiattribute decision technique that has been applied to private and public areas. It is well suited to group decision making and offers many benefits as a synthesizing mechanism in group decisions. This paper explains why the AHP is well-suited to group decision making by means of the case study. Through this case study, we tried setting priorities for the strategic industry among the small and medium manufacturing industry in Pusan. For the application of AHP in selecting strategic industry in Pusan, we divided related decision makers into three decision groups, such as public agency, the research institution and academic circle. This study conducted sensitivity analysis about the endowment of group importance. According to the result of the sensitivity analysis, the priority of the strategic industry had no significant difference.

多目的下에서의 意思決定問題에 관한 諸技法의 硏究

李昌孝 新羅大學校 1983 論文集 Vol.14 No.-

The nature of major decision problems has changed drastically in recent years, and serious doubt has been raised as to the adequacy of traditional decision techniques. The awareness of a multiplicity of different objectives in decision-making and management has evoked the need for more adeguate techniques which take into account the multidimensionality and heterogeneity of individual, social or entrepreneurial behaviour. The need for such adjusted methods is even more apparent due to the mutually conflicting or noncommensurable nature of many objectives. Recently several attempts have been made to develop more adequate theories and methods which take into account explicitly the existence of multiple criteria in decision-making. In this paper the author presents various multiobjective decisionmaking techniques for solving multiobjective problems by categorizing them into the multiattribute utility (MAU) models and the goal programming(GP) method.

공명 광음향셀의 설계

이창효 漢陽大學校 基礎科學硏究所 1990 基礎科學論文集 Vol.9 No.-

공명광음향셀에 대한 공명이론으로부터 계산하여 얻은 수치로 광음향신호의 세기가 최대로 되는 공명광음향셀의 크기를 결정하였다. 이 때 lock-in 증폭기의 측정감도, 마이크로폰의 감도와 직경 등을 고려하여 가능한 한 셀의 크기를 작게 하였다. 결정된 최적 공명광음향셀에서의 광음향신호의 증폭도는 약 19.4이었다. The size of the optimal resonance photoacoustic cell is determined from the numerical values obtained by use of the previous developed resonance theory, considering the measurement accuracy of the lock-in amplifier and the response an diameter of the condenser microphone. It is found that the amplification of the signals in the resonance photoacoustic cell turns out to be 19.4 for the determined values of the optimal size.

多目的計劃法에서의 非劣位解 및 選好解 探索

李昌孝 新羅大學校 1985 論文集 Vol.18 No.-

The noninferior solutions searching methods(e, g., weighting method and e-constraint method) develop a representation of the noninferiour set for consideration by the decision maker (DM), and emphasize the development of information about a multiobjective problem that is presented to a DM in a manner that allows the range of choice and the trade-offs among objectives to be well understood. However, one disadvantage which has severely limited there method's practical applicability is that they usually generate a large number of noninferior solutions; it becomes almost impossible for the DM to choose one which is the most satisfactory, i, e. , a preferred solution among them. Therefore, the methods are generally incorporated into some of the preferred solution searching methods. Among the preferred solution searching methods two representative methods, namely, the multiattribute utility function (MAUF) method and the surrogate worth trade-off(SWT) method use global and local utility (preferrence) modelling, respective. However, the MAUF method developed by Keeney and Raiffa have critical disadvantage such that it may force the DM to fit a function not truly representing his or her preferences. On the other hand, the SWT method developed by Haimes and Hall based on local utility function modelling, provides an alternative approach that avoids the restrictive assumpt-ions. Instead of specifying the utility function globally, their procedures construct a sequence of local preference approximations of it. The SWT method uses the e-constraint problem as a means of generating noninferior solutions. Trade-offs among objectives, whose values are expressed by values of strictly positive Lagrangian multipliers, are used as a medium. The DM responds by expressing his degree of preference over the prescribed trade-offs and by assigning numerical values to each surrogate worth function. This method guarantees the generated solution in each iteration to be Parto optimal and the DM can select his preferred solution from among noninferior solutions. However, original version of the SWT method has many disadvantages. Therefore, in this paper, a new multiobjective decision making technique for solvlng multiobjective optimization problems: the Ready Surrogate Worth Trade-off(RSWT) method which belongs to revised SWT methods is presented by the author. Using this technique, the preferred solution for the DM can be described more conveniently and efficiently from among a Pareto optimal solution sat.

수도권 창업기업의 생멸에 대한 공간분포 패턴 분석

이창효,Yi, Chang-Hyo 한국국토정보공사 공간정보연구원 2015 지적과 국토정보 Vol.45 No.1

본 연구의 목적은 창업기업의 생성과 소멸이라는 생애주기 변화와 관련하여 나타나는 공간분포 패턴의 차이를 확인하는 것이다. 이를 위하여, 본 연구에서는 전국기업체총람과 폐업기업정보를 활용하여, 2007년부터 2009년까지 수도권에서 창업한 기업의 위치정보와 생성시점, 그리고 소멸시점을 파악하였다. 창업기업의 생멸분포 패턴에 대한 분석은 공간상의 분석단위에 대한 분포패턴을 정량적으로 분석하는 방법론인 평균점, 표준거리, 타원형 표준편차, 그리고 공간자기상관도 분석기법이 적용되었다. 분석 대상 창업기업 5,810개 중, 1,322개 기업이 5년 내에 소멸함으로써 77.25%의 5년 생존율이 산정되었다. 지역별 생멸분포 패턴의 분석 결과, 수도권 전체, 서울, 그리고 인천 경기 모두에서 기업의 생성분포에 비해 소멸분포가 분산의 정도가 큰 것으로 나타났다. 또한, 기업속성별 생멸분포 패턴 분석결과, 기업의 규모와 업종에 따라 창업기업의 생성과 소멸분포에 차이가 있는 것으로 확인되었다. The purpose of this paper is to verify the spatial distribution difference between formation and dissolution of start-up firms related to life-cycle. For this purpose, a Korean business directories and information on business closures were used, and location information, starting time, and closure time of start-up firms in the Seoul metropolitan region from 2007 to 2009 were generated in this study. It applied The spatial distribution analysis methods on the formation and dissolution of the start-up firms included Barcki measurements and global spatial autocorrelation. The total number of start-up firms was 5,810, and their five-year survival rate was 77.25%. The dissolution pattern of the start-up firms was dispersed more than their formation pattern in each of the Seoul metropolitan regions, the city of Seoul, and the city of Incheon-Gyeonggi province. In addition, differences between the formation and dissolution patterns according to size and industry category of the firms were confirmed.

박막형 압전진동자의 전기등가회로상수의 측정방법

李昌孝 漢陽大學校 基礎科學硏究所 1992 基礎科學論文集 Vol.11 No.-

임의로 선택한 진동수에서 압전진동자의 impedance를 LRC meter로 측정하고, 이렇게 측정한 값 중에서 임의로 선택한 4개의 data를 컴퓨터로 수치 계산하여 압전진동자의 전기등가회로상수를 결정하는 방법을 모색하였다. 본 연구에서는 rf planar magnetron sputtering장치로 c-축 방향성의 ZnO 압전박막 진동자를 제작하여 위의 방법으로 이 진동자의 전기등가상수회로와 전기역학 결합계수를 측정하였는데 그 결과 이 방법이 기존의 여러 방법보다 훨씬 편리함을 알았다. A method determining the equivalent electric circuit constants of piezoelectric vibrator was attempted by numerical calculation with arbitrary four values of the measured impedances using a LRC meter. In this study the equivalent electric circuit constants and electricmechanical coupling constant of a c-axis orientation ZnO piezoelectric thin film vibrator fabricated by rf planar magnetron sputtering equipment were measured by this method. The result showed that this method was more convenient than any conventional method.

對話型 多 屬性效用分析에 관한 硏究

李昌孝 新羅大學校 1988 論文集 Vol.25 No.-

The multiattribute utility theory has been developed for handling uncertainty in outcomes. While there are many decision making models under certainty, only utility function models take into account the decision maker's risk preferences as well as the actuarialrelationship between activities and outcomes. And all utility function assessment techniuqes produce cleary defined statements of the decision maker's preferences. But, multiattribute utility theoryis one of the most confusing topics of multiattribute decision making study mainly due to its sophisticated nature(assumption) and the difficulty in the assessment of utility function. Futher more most of the literature is filled with mathematical proofs. Therefore there remains a certain amount of skepticism concerning the practical usefulness of multiattribute utility theory. A busy decision maker needs a multiattribute utility theory assessment technique which can be easily taught and used, though it may lack the theoretical elegance of techniques proposed by, for example, Keeney and Raiffa. In this paper, we present the interactive multiattribute utility function method which solicits additional information from the decision maker sequentially, through an interactive process, until a final choice is determined. The contribution of this method is in reducting the information burden on the decision maker and thus providing ractical assistance to him. Finally through numerical example, the multiattribute utility function method was compared with the interactive ε-constraint method which was developed by the author for solving the multiobjective optimization problems.