This study is conducted to suggest ways to mitigate the mismatch phenomenon between job seekers who want to find right company for themselves and companies looking for appropriate new employees. For this purpose, this study improves the company assessment framework reflecting job seekers interests by using fuzzy analytic hierarchy process. The improved evaluation framework is a three-level hierarchical structure, where there are 4 groups at the top level, 12 factors at the intermediate level and 36 indexes at the bottom level. For the empirical analysis of the applicants preferences based on the improved model, a survey for F-AHP analysis is carried out to university students and then priorities of components in the evaluation model are calculated. Moreover, the differences of priority of the company assessment framework are analyzed for different genders, college years, and major divisions. The results show that job seekers’ most concerning factors are wages, stability, working environments, and labor deal, which are ranked highly in this order and the differences in preferences for each type of job seekers (genders, college years, and major divisions) are obvious. The results also show that the male prefers wages to environment, on the other hand female does working environment to wages.

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.

Supplier selection is one of the most important activities of a company. This importance is increased even more by new strategies in a supply chain, because of the key role suppliers perform in terms of quality, costs and services which affect the outcome in the buyer's company. In addition, green production has become an important issue for almost every manufacturer and will determine the sustainability of a manufacturer. Therefore a performance evaluation system for supplier and green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. Supplier and green supplier selection is a multiple criteria decision making problem in which the objectives are not equally important. In practice, vagueness and imprecision of the goals, constraints and parameters in these problems make the decision making complicated. The objective of this study is to construct a decision-making process using fuzzy analytic hierarchy process (FAHP) and balanced scorecard (BSC) for evaluating supplier and green suppliers in the manufacturing industry. The BSC concept is applied to define the hierarchy with four major perspectives and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is applied to facilitate the solving process. With the proposed approach, manufacturers can have a better understanding of the capabilities that supplier and green supplier must possess and can evaluate and select the most suitable supplier for cooperation.

As environmental protection is becoming more and more important, green production has become a key issue for almost every manufacturer and will determine a manufacturer can be sustainable in the long term. Therefore a performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. The objective of this study is to construct a combined model based on fuzzy analytic hierarchy process (FAHP) and balanced scorecard (ESC) for evaluating green suppliers in the manufacturing industry. The ESC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is finally constructed to facilitate the solving process. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

The objective of this study is to develop an evaluation model for the National highway risky areas. Thus, for the purposes of doing this, National highway risky area evaluated targeting to provide determination ranking and suggesting rival-superiority factors as well as under-inferiority factors in ten National highway risky areas. This study developed for modules of risky areas evaluation, using fuzzy set theory and analytic hierarchy process for evaluation model of National highway risky area in transport environment. The preceding studies assess risk analysis through analysis of causal relationships by National highway safety sector not only handles rating scale development suitable for assessment area by referring to accident frequency model but also geometric structures model. As result of this study, this model of Fuzzy Ahp Risk Analysis (FARA) apply for programmable design in real time processing through easily derive strategy for improvement activities to provide a decision-making effectively. Furthermore, this study contributes frame for improvements of National highway construction for renovation's priority strategy as well as future's policy schemes.

National Education Information System (NEIS) is an ambitious reform project that can improve the competitiveness and performance of education field and to link administrational work of between schools and their senior administration offices via internet. NEIS is introduced to lighten the teachers' overburden, to standardize the work process and to bring better quality education to each classroom and make it possible for those involved in education to resolve any related educational problem on line. This paper aims to construct a hierarchy model consisting of key factors such as technological and administrative factors for the effective use of NEIS and to evaluate the relative importance among key factors using fuzzy AHP technique included fuzzy concepts. Eventually, the analysis results can be utilized to develop the future improvement strategy of NEIS and to satisfy the users.

  Supply Chain Management (SCM) system is a critical investment that can affect the competitiveness and performance of a company. Selection of a right SCM system is one of the critical issues. This paper presents the characteristic factors of SCM system a

  In general, reliability of AHP(Analytic Hierarchy Process) depends on pairwise comparison of evaluators. In addition, human judgment on the importance of alternatives or criteria is always imprecise and vague. To cope with these shortcomings, Fuzzy AHP

세계적으로 각 분야에서 SERVQUAL 모형과 SERVPERF 모형 등을 이용한 서비스품질에 대한 측정과 관련된 연구들이 많이 수행되어 오고 있지만 서비스품질을 계량화시키기 위한 연구는 활성화되고 있지 못한 상황이다. 따라서 본 연구의 목적은 불확실하고 주관적인 환경에서 서비스품질을 객관성있게 측정하고 계량화시키기 위해서 Triangular Fuzzy Number(TFN)와 Analytic Hierarchy Process(AHP)를 이용하여 서비스품질을 측정하기 위한 방법을 제안하기 위한 것이다.

본 연구는 해양사고 피해규모에 의해 우리나라 수색·구조 구역의 위험수준을 평가하였다. 위험수준 평가를 위해서 전문가 지식에 기반한 퍼지로직, 퍼지측도 및 t-준노름 퍼지적분법을 이용하였다. 본 연구의 퍼지로직은 퍼지 확장원리에 의한 최대최소화 합성이고, 비퍼지화는 무게중심법을 이용하였고, 최종 평가는 t-준노름 퍼지적분법을 이용하였다. 그 결과 목포, 통영, 여수 수색·구조 구역의 위험수준이 가장 높은 것으로 평가되어, 향후 위험수준을 경감하기 위해 많은 구조선과 구조장비가 필요 할 것으로 판단된다.

This paper aims to construct an effective decision making model on selection of product design in product development using fuzzy AHP technique. It is expected that this paper contributes to enhancement of company's market competitiveness by shortening the lead time to develop a new product and minimize initial investment. The proposed model using fuzzy AHP enables quick decision making by integrating and analyzing all customer requirements related to a product. In addition, it can deal with vagueness and uncertainty of decision making process using fuzzy set theory. Decision making processes for evaluating the best selection of product design are also constructed to describe the exact concept of development. A tennis racket is shown as an example. The proposed model is expected to be applied in various fields of managerial decision making processes as well as of product development process.

This paper aims to investigate the factors affecting the quality of rural labor in Vietnam, a case study in Thai Nguyen province. For this purpose, we establish an integrated framework of factors affecting the quality of rural labor. We use Fuzzy analytic hierarchy process (Fuzzy- AHP) to assess the weight of the criteria and sub-criteria of rural labor quality. This method introduced by Saaty (1987) is a useful tool to cope with the complexity of decision-making. The Fuzzy-AHP is one of the most common Multi-Criteria Decision-Making instruments for dealing with quantifiable and intangible criteria, which reflect the relative importance of the alternatives based on constructing a pairwise comparison matrix. The results show that the four most weighted factors are institutions, local government policies, technical qualifications, and mentality. In particular, the weight of the institution is the largest (0.2343), meaning that this factor is the most important one affecting the quality of rural labor in Thai Nguyen province. The weight of local government policy is close to that of institution, about 0.2259. The weights of technical qualification and mentality are 0.1238 and 0.1135, respectively. In addition, age and education levels do not significantly affect the rural labor quality of Thai Nguyen province.

최근 정부는 수상운송기업의 경쟁력을 강화하기 위한 지원정책을 추진하고 있다. 이러한 정책을 효과적으로 수행하기 위해서는 수상운송기업의 경영성과를 평가하고 정책의 모니터링이 필요하다. 이 연구는 통합 FUZZY AHP-PROMETHEE법을 이용하여 우리나라 수상 운송기업의 경영성과를 평가하여 우선순위를 선정하기 위한 것이다. 이를 위해 먼저 수상운송기업을 7개의 대상그룹으로 구분하고, 경영성과 평가를 위한 평가항목을 추출한다. 두번째는 전문가 설문조사를 통해 Fuzzy AHP법을 이용하여 평가항목의 중요도를 산정한다. 마지막으로 평가항목의 중요도와 Fuzzy PROMETHEE Ⅱ법을 결합하여 수상운송기업군의 전체 우선순위를 결정하고 Fuzzy PROMETHEE Ⅰ법을 이용 하여 기업군간의 우선순위를 분석한다. 따라서 제안된 모델에서는 성장성, 생산성, 수익성, 기술성 등 4개의 평가 항목이 추출되었다. 그 결과 기타해상운송업의 경영성과가 가장 높게 나타났고, 내륙수상여객및화물운송업의 경영성과가 가장 낮게 나타났다. 따라서 기타해상운송업은 성과를 지속하기 위해 생산성을 증대해야 하고, 내륙수상여객및화물운송업은 성과향상을 위해 모든 항목을 증대해야 할 것이다.

Currently, container transport services play a substantial role in global cargo transportation, by serving as an intermodal between exporter and importer. Container shipping has become increasingly important over the past few decades, due to obvious advantages. However, Vietnam's container market has shown severely ongoing competition among numerous domestic and foreign shipping lines, resulting in serious consequences occurring such as freight rates substantially decreasing within the last 10 years. Vietnam's sea lanes have become more defensive, to cover losses of shipping companies. Selection of criteria for competitive evaluation of container transport companies is necessary, to facilitate addressing the problems within the enterprise, especially relating to its position in the market and from here, business management can implement strategic plans and reasonable policy, to survive and grow.

본 연구는 Fuzzy-AHP를 이용하여 한ㆍ중 카페리 피견인 트레일러 상호주행 시 장애요인의 가중치 분석을 연구의 목적으로 하였다. 이를 위해 본 연구에서는 문헌연구를 통해 1차적으로 요인을 선정한 후, 현 카페리업체에 종사 중인 화물 전문가집단과의 Indepth-Interview를 수행하여 요인을 최종 선정하였다. 선정된 상위 장애 요인은 불안정적 서비스 제공, 제한적 정책 지원, 추가 비용 발 생이며, 이중 불안정적 서비스 제공이 가장 큰 장애요인으로 분석되었다. 선정된 측정변수 11가지 항목은 화물 장치장 공급 부족, 트레일러 보험 및 관리 문제, 특수장비 부족, 전문화된 인력부족, 투입 서비스 항로의 제한, 마케팅 홍보 전략의 부족, 수속 비용 증가 등이며, 이중 불균형 화물 집화에 따른 장비 회송 비용 증가가 가장 큰 장애 요인으로 분석되었으며, 서비스 항로의 제한, 특수장비 부족, 수속의 지연 및 추가 절차 발생이 그 뒤를 이었다.

본 연구는 도시지역의 내수침수 특성을 고려한 내수침수위험도 산정방법을 제시하였다. 의사결정과정에서 발생할 수 있는 불확실성을 정량적으로 반영하기 위하여 Fuzzy AHP 기법을 활용하였다. 내수침수 위험도의 평가기준으로는 물리적 지표, 사회적 지표, 그리고 내수침수 시나리오 결과 등 세 가지로 구성하였다. 각각의 평가기준은 3개의 세부평가항목을 가지고 있어 총 9가지의 평가항목을 바탕으로 내수침수 위험도 분석을 수행하였다. 또한, 행정구역 단위가 아닌 배수시스템의 노드(맨홀)를 기준으로 침수위험도를 분석하여 침수위험도가 높은 지점을 상세하게 표현할 수 있었다. 본 연구의 대상지역인 부산시 거제지구에 Fuzzy AHP 기법을 적용한 결과, 온천천 거제천 합류부 저지대의 침수위험도가 크게 나타났으며, 이는 과거 피해이력과 일치하는 것이다. Fuzzy AHP 기법을 적용한 본 연구결과는 내수침수 위험도 산정 및 고위험도 지역의 내수침수 저감계획 수립을 위한 자료로 활용될 수 있을 것이다.

본 연구는 퍼지 TOPSIS법과 AHP법을 이용하여 IMO 정보관리시스템의 예비과제 우선순위를 평가하기 위한 것이다. 이러한 평가를 위해 먼저 24개의 예비과제를 추출하여 FSM법을 이용하여 대체안을 구조화하였고, 최종 4개의 주요 예비과제를 도출한다. 또한 평가항목간의 가중치는 의사결정자의 일관성을 유지하면서 평가가 가능한 AHP법을 이용한다. 그러나 AHP법은 비교대상의 수가 증가하면 쌍대비교의 횟수가 증가하고, 평가에는 수많은 애매성이 존재하기 때문에 최종 우선순위 선정에는 TOPSIS에 퍼지이론을 도입한 퍼지 TOPSIS법을 이용한다. 그 결과 IMO 기준정보관리, IMO 정보기준전달, IMO 통합데이터베이스, IMO 지식허브 순으로 구축되어야 하는 것으로 나타났다.