이 연구는 집단 간 양극화가 정책 갈등이 지속되는 요인임을 밝혀 사 회적 갈등을 어떤 방식으로 해결해 나가야 하는지를 알아보고자 하였다. 정책 갈등 지속에 영향을 미치는 원인을 규명하기 위해 퍼지셋 질적 비 교분석을 통해 우리나라의 대표적인 갈등 사례를 분석하여 정책 갈등을 지속시키는 요인과 지속시키지 않는 요인을 분석하였고, 정책 갈등과 거 래비용 이론 및 행위자들의 전략적인 행위를 우리나라 대표적인 갈등 사 례를 바탕으로 갈등이 지속되는 인과조건에 대한 분석을 시도하였다. 분 석 결과 집단의 양극화가 심화됨에　따라 갈등 지속 기간이 길어졌음을 확인했고, 집단 내 동질화가 집단 간 이질화를 심화시킨다는 것을 밝혀 냈다. 우리나라의 대표적인 갈등 사례를 분석하여 갈등이 지속되는 주요 원인을 규명해냈으며, 현실 문제에 적용할 수 있는 시사점을 제시하였다.

The purposes of this study are to analyze risks of construction step BIM(Building Information Modeling) applied project and improve it. Recently, construction industry has emphasized an importance of BIM for efficient utilization of various information. In the whole life cycle of huge construction project, there are cases introducing BIM and projects applying BIM are gradually increased to the work of construction step. However, the process of communication is not established, so the contents of BIM process of construction step are just showing rough fields and concepts of working utilization, so it's restrictive to utilize BIM actively on constructions step. Through results of case study in this research, constructor risks of BIM business should be efficiently treated with Fuzzy-FMEA that is more precise than existing danger evaluation.

본 연구는 의료분야 사용자 혁신을 아이디어 도출-연구개발-상용화 및 창업의세 단계로 분류하고, 각 단계별로 혁신의 성공에 미치는 핵심요인의 조합을 30개 국내 사례에 대한 퍼지집합 질적 비교분석을 통해 파악했다. 아이디어 단계에서는 사용자 인적 네트워크상에서 그 가치를 평가하고, 연구개발 단계로의 이행을 위한 자원을 제공해 주는 것이 중요했다. 연구개발 단계에서는 급진적 혁신은 기술역량, 자원 접근성, 정부지원이 모두 갖추어져 있거나 우수한 혁신 네트워크에 아이디어가 도입된 경우 발생했다. 상용화/창업의 경우급진적 혁신은 연구개발과 같이 세 조건이 모두 갖춰진 경우 발생했으며, 점진적 혁신은 기술역량이 탁월한 개인이 소규모 정부지원 또는 주변 자원을 활용해 이루어졌다. 민간기업의사용자 혁신 전략과, 정부 지원 정책의 효과, 효율성을 모두 제고할 수 있는 사용자 혁신의틀을 제공했다는 점에 현실적 의미가 있다. 학술적으로는 사용자 혁신 단계별 핵심요인 조합을 규명하고, 퍼지집합 질적 비교분석방법을 적용한 첫 연구라는 의의가 있다.

The present study focuses on the construct of entrepreneurial alertness, investigating the external antecedents of the construct, responding to the call for more research pledged by Tang, Kacmar, and Busenitz (2012). Namely, we examine how receiving feedback, awards and collaboration offers in relation to an individual’s hobby activity influences the development of entrepreneurial alertness dimensions. Additionally, we make a contribution by testing the effect of these external factors in a non-entrepreneurial context of homebrewing communities, that is individuals producing beer at home as a hobby. In line with other form of craft activities, this context has demonstrated a high potential for business start-up development due to the increasing number of new small brewing businesses in North America run by entrepreneurs that were previously homebrewers (Carroll & Swaminathan, 2000). We test our tenets within the complexity theory, where configurations of antecedents are examined in order to gain deeper understanding of the possible outcome (Woodside, 2014), using 213 completed questionnaires. We apply fuzzy-set qualitative comparative analysis (fsQCA, Ragin 2000; 2008) to achieve a holistic overview of the examined interrelationships (Ordanini, Parasuraman & Rubera, 2015). We find that high feedback is a sufficient condition for high scanning and search, association and connection, as well as evaluation and judgement activities of entrepreneurial alertness. Without feedback, people at the hobby stage engage in their leisure activities solely because they like it. However, receiving feedback in relation to their hobby outcomes provides an opportunity for individuals to develop and experience additional motivations beyond enjoyment, where they understand that the hobby could be commercialized and bring monetary rewards. Moreover, we find that an individual receiving low amount of awards but high amount of collaboration offers may also have high entrepreneurial alertness. Since individuals receive rewards related to the excellent performance in their leisure activity, it may not provide any cue for a potential transformation into a business. However, the more collaboration offers people receive, the more likely they get involved in scanning and search, association and connection, and evaluation and judgement activities of entrepreneurial alertness. Therefore, they are likely to conduct additional search, connect bits of available information and evaluate this business opportunity (Gaglio & Winter, 2009). The findings of this study could help entrepreneurs reflect on their decisions and behaviours during the business start-up planning process, and measure their entrepreneurial alertness and the extent of readiness to engage in business venturing.

The paper investigates the Brain Drain in Chinese family business based on a sample of 319 family businesses in China. Using a fuzzy set qualitative comparative analysis (fsQCA) to uncover different combinations of conditions (pay and welfare, work environment, management style of the leaders, and career planning) that are sufficient to achieve high and low brain drain. The results show that pay and welfare is a necessary but not a sufficient condition by itself to achieve high brain drain. The findings show that three causal recipes are equifinal in achieving high brain drain. The first causal recipe combines high work environment with low level of career planning and with high pay and welfare. The second combines low work environment with high level of career planning and with high pay and welfare. Finally, the third combines high work environment with high level of management style of the leaders and with high pay and welfare. The study also found two causal configurations that are equifinal to achieve low brain drain. Moreover, these combinations are not a mirror of the combinations founded for high brain drain. This study offers several implications to both researchers and business practitioners: It is acquired that in order to prevent brain drain, the pay and welfare of employees should be raised while the management philosophy should pay attention to humans in the first place. Secondly, the leaders need to improve their own quality so as to strengthen the management of family businesses. Finally, a refined human resource system needs to be established. After brain drain, enterprises should perfect their contract constraining mechanism and, bring in suitable talents promptly so that the loss is minimised.

This study addresses the influence of corruption on firm innovation in Chinese market. Using both the logit model and a fuzzy-set analytical approaches based on a new official sample of 2700 privately-owned and 148 state-owned firms over the period of 2011 to 2013, the study add further evidence to growing methodological consideration regarding complexity theory. The results show a significant negative effect of corruption on firm innovation, additional, firm sale and education and market have a positive bearing on innovation activity. However, the government ownership firms have a negative and significant effect on innovation. The findings have important implication for theory, practitioners and policy-making and shed light on a new perspective to focus on the long run effect of corruption.

The management of the New Service Development (NSD) process remains a key research priority for service organizations. As a diverse mix of team members with different skills, perspectives and backgrounds participate in development teams and close collaboration is required among them, conflicts are likely to arise among team members. Different team members perceive conflict episodes in a different way and often embrace different conflict management behaviours and orientations (e.g. competing, avoiding) to deal with them. This study recognises NSD team as a complex system, through which individual members’ conflict management style choices enable team developmental dynamics, which sequentially lead to intragroup conflict resolution. Although a lot of work exists around the role of individual members’ conflict management styles, little research scrutiny is attracted on how teams solve intragroup conflicts and even limited empirical evidence is available regarding the linkages between individual and team factors can contribute to resolve intragroup conflicts. The present study taking under consideration the causal complexity, asymmetry and idiosyncratic nature of NSD conflict resolution, utilizes Complexity theory and leverages the advantages of fs/QCA in order to shed light on the NSD intragroup conflict resolution. Data was collected from employees in several service industries such as advertising, financial, insurance, consulting, IT services and telecommunications providers. The results confirm the major tenets of Complexity theory highlighting that any attempt to examine complex phenomena, such as NSD conflict resolution, as simple ones, based on symmetrical methodological approaches, may lead to simplistic and distorted explanations. In fact, the results demonstrate that there is not a ‘one fits all’ solution in order to solve NSD conflicts. Different facets for both the conflict-management styles and team dynamics act in various combinations in order to predict high scores in NSD conflict resolution.

PURPOSES: Nighttime driving is very different from daytime driving because drivers must obtain nighttime sight-distances based on road lights and headlights. Unfortunately, nighttime driving conditions in Korea are far from ideal due to poor lighting and an insufficient number of road lights and inadequate operation and maintenance of delineators. This study is conducted to develop new standards for nighttime road visibility based on experiments of driver perception for nighttime visibility conditions. METHODS : In the study, perception level and satisfaction of nighttime visibility were investigated. A total of 60 drivers participated, including 34 older drivers and 31 young drivers. To evaluate driver perceptions of nighttime road visibility, fuzzy set theory was used because the conventional analysis methods for driver perception are limited in effectiveness for considering the characteristics of perception which are subjective and vague, and are generally expressed in terms of linguistic terminologies rather than numerical parameters. RESULTS : This study found that levels of nighttime visibility, as perceived by drivers, are remarkably similar to their satisfactions in different nighttime driving conditions with a log-function relationship. Older drivers evaluated unambiguously degree of nighttime visibility but evaluations by young drivers regarding it were unclear. CONCLUSIONS : A minimum value of brightness on roads was established as YUX 30, based on final analyzed results. In other words, road lights should be installed and operated to obtain more than YUX 30 brightness for the safety and comfort of nighttime driving.

Failure modes and effects analysis (FMEA) is a widely used engineering tool in the fields of the design of a product or a process to improve its quality or performance by prioritizing potential failure modes in terms of three risk factors―severity, occurrence, and detection. In a classical FMEA, the risk priority number is obtained by multiplying the three values in 10 score scales which are evaluated for the three risk factors. However, the drawbacks of the classical FMEA have been mentioned by many previous researchers. As a way to overcome these difficulties, this paper suggests the ELECTRE III that is a representative technique among outranking models. Furthermore, fuzzy linguistic variables are included to deal with ambiguous and imperfect evaluation process. In addition, when the importances for the three risk factors are obtained, the entropy method is applied. The numerical example which was previously studied by Kutlu and Ekmek‡ioğlu(2012), who suggested the fuzzy TOPSIS method along with fuzzy AHP, is also adopted so as to be compared with the results of their research. Finally, after comparing the results of this study with that of Kutlu and Ekmek‡ioğlu(2012), further possible researches are mentioned.

Recently, the breakdown of online banking servers and the leakage of customer information give rise to much concern about the security of information systems in financial and banking companies in Korea. The enforcement of security for information system becomes much more important issue than earlier. However, the security reinforcement of information system is restricted by a budget. In addition, the activities' cost to secure information system from threatening are under uncertain circumstances and should be established by a human decision maker who is basically uncertain and vague. Thus, making the budget for information system is exposed to any extent of the risk for these reasons. First, we introduce brief fuzzy set theory and fuzzy AHP (Analytic Hierarchy Process) methodology. Then, the cost elements that comprise yearly budget are presented and the priorities among the cost elements are calculated by fuzzy AHP. The cost elements that are exposed to risk are evaluated from the both perspectives of the risk impact and risk occurrence possibility which are expressed as linguistic terms. To get information on the risk profiles-pessimistic, most likely, and optimistic-for each cost element, the evaluation is accomplished and the result is presented. At last, the budget ranges-minimum, mode, maximum-for each cost element are estimated with the consideration of the risk profiles.

본 연구에서는 인천항의 인식에 관해 퍼지이론을 이용하여 분석하였다. 분석결과 인천항만개발에 대해서 긍정적 이미지의 경우는 절충이 0.73, 찬성이 0.27로 나타났고, 부정적 이미지에서도 절충이 0.69, 반대가 0.31로 나타나 항만개발은 절충적으로 고려되어야 하는 것으로 나타났다. 항만의 이미지에 대해 연령별로 살펴보면 20대와 30대 사이에 긍정적 이미지는 급격히 낮아지는 것으로 나타났고, 부정적 이미지에서는 10대에서 20대 사이에 이미지가 높아지는 것으로 나타났다. 따라서 긍정적 이미지는 레져활동, 휴식공간의 확보 등을 통해 높이고, 종합항만공간, 친환경적 항만개발 전략 등을 통해 부정적 이미지는 낮출 수 있는 항만개발이 요구된다.

This paper proposed a new method to evaluate service quality attribute of perceived service quality in public sectors, using triangle fuzzy numbers and hamming distance Our method measured the ratio of the expected and perceived service for the customers'

We consider the Fuzzy clustering which is devised for partitioning a set of objects into a certain number of groups by assigning the membership probabilities to each object. The researches carried out in this field before show that the Fuzzy clustering co

Risk analysis is a formal deductive procedure for determining combinations of component failures and human errors that could result in the occurrence of specified undesired events at the system level. This method can be used to analyze the vast majority of industrial system reliability problems. This study deals with the application of knowledge-engineering and a methodology for the assessment ＆ measurement of reliability, availability, maintainability, and safety of industrial systems using FTA(fault tree analysis), A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient Information concerning the relative frequencies of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations, The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

Today, facilities are composed of many complex components or parts. Because of this characteristics, the frequency of failures is decreasing, but the strength of failures is increasing; therefore, the failure analysis about many complex components or parts was needed. In the former research about Fault Tree Analysis, failure data of similar facilities have been used for forecasting about target system or components, but in case that the system or components for forecasting failure is new or qualitative and quantitative data are given simultaneously, there are many difficulty in using Fault Tree Analysis with this incorrect failure data. Therefore, this paper deal with the Fault Tree Analysis method which be applied with Fuzzy theory in above case. In case that , therefore, if there is no the correct failure data, it is represented a system or components as qualitative variable. subsequently, it converted to the quantitative value using fuzzy theory, and the values used as the value for failure forecast.

지진예측을 위한 확률론적퍼지모형을 제안하였다. 제안원 모형은 지진발생에 대하여 부작위성 (randomness) 과 퍼 지니스( fuzziness )를 같이 사용하여， 기존의 확률론에 근거한 지진예측방볍을 개선할 수 있도록 하였다. 이 연구의 설과는 (a) 주어진 초과확률에 대한 지반가속도 또는 주어진 지반가속도에 대한 초과확률의 멤벼쉽함수와 (b) 멤써 쉽함수릎 대표할 수 있는 특성값 (characteristic value) 이다. 확률론적퍼지모형을 띠 놔 Utah 주의 Wasatch Front Range 의 자료에 적용하여 서로 다른 연간초파확률， 최대지반가속도에 대하여 지진도른 작성하였다

This study determined the ship replacement life expectancy from an economic perspective. There are many ambiguities in the cost for calculation of economic lifespan, and these were expressed as fuzzy numbers. Also, a fuzzy cost model using fuzzy numbers was developed and suggested as a more practical analysis method than the existing cost model. And the suggested fuzzy model was used to determine the economic lifespan for various types of container ships. As the result, Without fuzziness, the economic lifespan of 5000 TEU Ships was found to be 19 years. it was found that the greater the container ship, the greater the economic lifespan was.

본 연구의 목적은 인접한 2항만 간 화주의 항만선택에 관한 행동을 분석하기 위한 것이다. 이를 위해 본 연구에서는 퍼지추론법과 뉴럴네트웍 모델을 이용하여 항만선택 행동모델, 즉 퍼지-뉴로 행동모델을 구축하고 부산항과 광양항을 대상으로 화주의 항만선택 행동을 분석하였다. 또한 로짓모델과 비교하여 퍼지-뉴로 모델의 판별 우수성을 검정하였고, 서비스 수준과 화물량 등의 파라미터를 변경한 항만선택 행동을 분석하였다.

지금까지 IMO를 비롯한 해운산업분야에서는 해상의 인명 재산, 해양환경보호에 항상 큰 관심을 가지고 해양사고예방을 위한 많은 노력들이 견주되어 왔다. 하지만 이러한 노력에도 불구하고 크고 작은 해양사고가 지속적으로 발생하고 있는 것이 오늘날의 현실이다. 한편, 선박충돌사고는 수많은 원인이 서로 복잡하게 상호작용을 하고 있어서 사고예방대책마련에 어려움이 많다 따라서, 선박충돌사고의 정량적인 분석을 위해서는 이들 상호작용요소간의 관계를 시스템적으로 파악하고 분석하는 것이 선행되어야 한다. 본 연구에서는 먼저, 지난 10년(1991-2000)간 국내에서 발생한 선박충돌사고에 대한 위험성을 분석하였고, 또한 사고발생에 가장 큰 영향을 미치는 위해요소(Hazard)인 인적요소(Human Factor)에 대해서 전문가집단의 의견을 수렴하여 FSM기법을 이용하여 인적 위해요소를 계층화한 후 각 요소 상호간의 관련성을 분석하였다. 그 결과로써 인적요소에 의한 선박충돌사고의 발생과정과 각 계층에 속한 요소가 사고에 미치는 영향력을 규명하고, 각 요소간 상호관계를 파악하여 사고예방대책마련을 위한 우선순위를 결정할 수 있는 선박충돌사고의 인적요소 구조그래프를 제시하였다.