상용 게임 엔진의 발달로 인해 게임 제작에서 기술력은 점차 평준화되고 있고, 게임 디자인 능력이 성공의 열쇠로 부각되고 있다. 재미있는 게임이란 무엇인지 이해하기 위해서는 게임을 상세 분석해서 이해할 필요가 있다. 본 연구는 게임 제작 실무에서도 도움이 되는 게임 디자 인 구성요소 모델을 제시하여 게임 디자인 과정에서 체계적인 게임 디자인이 이뤄지도록 가이 드라인을 제공하는데 목적이 있다. 본 연구는 국내외 게임 디자인 구성요소에 대한 선행 연구 를 통해 게임 디자인 구성요소 계층 모형을 설계했다. 모형은 5개의 상위계층과 15개의 하위 계층으로 구성됐다. 설계된 모형을 AHP 연구 방법론을 채택하여 싱글 플레이 게임과 멀티 플 레이 게임에 적용하여 중요도와 우선순위를 비교분석했다. 싱글 플레이 게임에서 중요한 구성 요소는 조작, 규칙, 게임 플레이, 스토리텔링, 캐릭터로 나타났으며, 멀티 플레이 게임에서 중 요한 구성요소는 밸런스, UI, 규칙, 조작, 게임 플레이로 나타났다.

생태계서비스란 자연생태계가 인간에게 주는 혜택을 통틀어 일컫는 용어이다. 생태계서비스를 정량화하기 위하여 다양한 모형이 개발되어 적용되고 있다. InVEST는 대표적인 생태계서비스 모형이며 그 중 서식지질 평가가 폭넓게 사용되고 있다. 우리나라에서는 국립공원을 대상으로 서식지질 평가가 실시되고 있다. 서식지질 평가를 위해서는 서식 지질 초기값으로 위협인자에 대한 민감도 평가가 이뤄져야 하는데, 이는 국가 및 적용분야에 따라 판이하다. 그래서 그동안 진행된 국립공원 서식지질 평가를 바탕으로 전문가 설문(AHP)을 실시하여 서식지질 초기값인 민감도의 기준을 조정하였다. AHP실시 결과 자연초지, 경지정리가 안된 밭 등 10개 항목이 상향조정되었으며, 하천, 호소 등 8개 항목이 하향조정되어 총 18개 항목이 조정되었다. 조정된 민감도 결과를 바탕으로 도시형인 북한산국립공원과 계룡산국립공 원, 사적형인 경주국립공원, 해상해안형인 한려해상국립공원 그리고 산악형인 지리산국립공원과 설악산국립공원을 대상지 서식지질 분석을 실시하였다. 분석결과 국립공원내 분포하는 시가화건조지역과 수역에 대한 부분이 서식지질 평가에 반영되었음을 알 수 있었다. 향후 이 기준을 이용하여 자연공원의 서식지질 평가가 가능할 것이다.

This study attempts a comparison between AHP(Analytic Hierarchy Process) in which the importance weight is structured by individual subjective values and regression model with importance weight based on statistical theory in determining the importance weight of casual model. The casual model is designed by for students’ satisfaction with university, and SERVQUAL modeling methodology is applied to derive factors affecting students’ satisfaction with university. By comparison of importance weights for regression model and AHP, the following characteristics are observed. 1) the lower the degree of satisfaction of the factor, the higher the importance weight of AHP, 2) the importance weight of AHP has tendency to decrease as the standard deviation(or p-value) increases. degree of decreases. the second sampling is conducted to double-check the above observations. This study empirically checks that the importance weight of AHP has a relationship with the mean and standard deviation(or p-value) of independence variables, but can not reveal how exactly the relationship is. Further research is needed to clarify the relationship with long-term perspective.

There have been a lot of studies about overseas factory location in order to meet various needs of industries according to the international economic developments. However, most of the studies were written about generic theory for general industries or mainly concerned to high capital industries. This study is focusing on the sewing and apparel industries which represent labor intensive and small-medium type of enterprises. For this study, AHP(Analytic Hierarchy Process) methods were applied to make proper analysis after wide range of survey to clarify determinants which provide a guidance for overseas factory location. As a result of the analytical researches done in the thesis the most important which should be taken consideration while determining of overseas factory location for sewing and apparel products industry are as follows – economic factors(0.569), geographic factors(0.171), social and cultural factors(0.157), regulations and institutional factors(0.103). In the last, S company is examined for example to show how this determinants have practically been applied.

Because of the changing educational environments, Korean universities have to stand up to the challenge of enhancing their performances in educational activities. Therefore, Korean universities should seek ways to improve its competitiveness. The evaluation of Korean universities has been conducted by the Government and other media agencies like JoongAng’s Daily to promote the development of universities. The purpose of this study is to evaluate and compare the relative efficiency of Korean universities using DEA (Data Envelopment Analysis) and AHP (Analytic Hierarchy Process) models. To produce reasonable results, major input and output variables have been determined in a step using a Profiling method, Spearman correlation analysis and AHP model. Also, this study shows that the relative efficiency for Korean universities is obtained not only based on quantity of output, but also on the basis of the quality of the output. Drawing upon the results of the analysis, this study provides a comprehensive and practical method for evaluating the performance of universities in terms of efficiency.

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.

We need a study of the ratio of successful applicants control methodology about the national technical qualification under the global-green industrial society and rapid change of international circumstances, infinite competition rider society under FTA aspects. It is necessary to develop of HRD Korea selfishness and increase brand value of national technical qualification. So, this study is analysed to the ratio of successful applicants of national technical qualification toward change of the 'bank of problems' control rule, various characters of candidates and the trend of demand and supply of labours instead of the absolute evaluation method. Accordingly, this study suggests to a methodology for the forecasting model of the ratio of successful applicants using the level of problems difficulty and pattern and the candidates academical carriers.

Today many successful star marketing cases constantly represented in many companies, so star marketing has become significant. Although star marketing brings a lot of business opportunities for companies, the results are not always positive effects. The purpose of this study is to provide a mechanism to select an advertising model casting for star marketing. This study uses the combined customer data analysis and AHP approach to choose a adequate an advertising model such as internet search engine, news searched words, customer survey, etc. And then AHP technique is applied to the five chosen candidates based on their salary, awareness, issues, continuous possibility and connection to product's concept. As a result, the proposed method will guide a good casting method to select an suitable advertising model and improve the effects of star marketing. how it improves the effect of star marketing.

Today many successful star marketing cases constantly represented in many companies, so star marketing has become significant. Although star marketing brings a lot of business opportunities for companies, the results are not always positive effects. The purpose of this study is to provide a mechanism to select an advertising model casting for star marketing. This study uses the combined customer data analysis and AHP approach to choose a adequate an advertising model such as internet search engine, news searched words, customer survey, etc. And then AHP technique is applied to the five chosen candidates based on their salary, awareness, issues, continuous possibility and connection to product's concept. As a result, the proposed method will guide a good casting method to select an suitable advertising model and improve the effects of star marketing. how it improves the effect of star marketing.

In order to find out the customer requirements and to develop new products more effectively, the Kano model and QFD(Quality Function Deployment), AHP(Analytic Hierarchy Process) developed and applied. But, Many companies difficult to select the CTQ(Critical to Quality) of new product. Especially the life cycle of Digital Camera is very short. In this thesis, the Kano model and AHP(Analytic Hierarchy Process) for finding the CTQ(Critical to Quality) for customer satisfaction are suggested. It is explained and discussed with the example of Digital Camera.

게임에서의 지능형 NPC는 게임 사용자와 상호작용을 수행하는 대표적인 객체로 게임의 재미를 극대화하기 위해 다양한 역할을 수행하도록 모델링 된다. 사용자와 NPC의 상호작용에는 감성적 상호작용을 포함하여, 이러한 감성적 상호작용은 감성 표출을 의미하는 행동 제어를 통해 다양성을 갖도록 표현된다. 본 연구에서는 게임 환경에서 발생할 수 있는 객체 간 감성적 상황정보에 따라 NPC의 행동을 제어할 수 있도록 하기 위해 NPC의 성격 모델을 설계한다. 특히 AHP를 이용한 NPC의 성격 모델링을 통해 모델링 시점에서 유추 가능한 NPC의 성격 모델링 방법과 얻어진 성격 모델을 이용해 NPC 행동 제어 방안을 제안한다.

In order to find out the customer requirements and to develop new products more effectively, the Kano model and QFD(Quality Function Deployment), AHP(Analytic Hierarchy Process) developed and applied. But, Many companies difficult to select the CTQ(Critical to Quality) of new product. Especially the life cycle of cell phone is very short. In this thesis, the Kano model and AHP(Analytic Hierarchy Process) for finding the CTQ(Critical to Quality) for customer satisfaction are suggested. It is explained and discussed with the example of cell phone.

We derive priority decision making on healthcare service technology standardization in the home network through the decision support process with industry professionals. We configured a research group with 4 industrial areas including Industry, Academic,

  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

이 연구에서는 안전관리체제(ISM Code) 실행지원 모듈개발중 하나인 ISM Code 운영평가 모듈 개발을 위한 기초적 연구를 수행하였다. 특히 ISM Code 운영평가 모듈 개발을 중심으로 AHP의 운영평가 분석과정과 설문지 설계, 운영평가 모형 기준의 위계 구조를 정립하였다는 것에 대해 그 의미가 있겠다. 또한 경영과학 분야의 주요 의사결정 하나인 AHP 기법을 운영평가 모듈 개발에 적용을 시도했다는 것에 대해서도 한층 가치가 있겠다.

Information systems(IS) outsourcing has become a very important management strategy of implementing IS and many studies on the IS outsourcing approach had been performed in the organizations. But it isn't still show how to out source the IS functions and how to offer quantitative magnitude for judgement. To offer a quantitative decision model that can help practitioners set priority and reap the most benefits from outsourcing, we show outsourcing structure including 3 factors (strategic, economic and technological benefit) and sub-levels which is different from the Yang and Huang's model. Also, we compute the weight of alternatives using analytic hierarchy process to find a priority of the IS outsourcing. As a result of analysis, we suggest systematic steps and quantitative model to increase the precision of decision making. 1)

This study tries to grasp common problems which most companies utilizing CRM are facing and present solutions to such problems in utilizing CRM. For these purposes, we try to determine the most important and most urgent factors in CRM utilization by using AHP, one of the Multi-criteria decision-making methods proposed by Satty. AHP is widely used for determining relative magnitude per evaluation item, i. e. priority on problems and is expected to make more systematic and objective evaluations than conventional methods do. Even in the present situation where any general criterion on CRM dose not exist, utilization of CRM is expected to be actively continued, which will cause many problems. In this regard, evaluating CRM counts. This study also tries to present a model applicable to such CRM evaluations

Recently, information systems(IS) outsourcing has become a very important management strategy of implementing IS and many studies on the IS outsourcing approach had been largely performed in the organizations, but it isn't still show how to outsource the IS functions and how to decide quantitative magnitude for judgement. To offer a quantitative decision model that can help practitioners set priority and reap the most benefits from outsourcing, we show outsourcing structure including 3 factors(strategic benefit, economic benefit and technological benefit) and sub-levels which. is different from the Yang and Huang's model. Also, we compute the weight of alternatives using analytic hierarchy process to find a priority of the IS outsourcing. As a result of analysis, we suggest systematic steps and quantitative model to increase the precision of decision making.