• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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• pp.153-156
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• 2005

In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

• 유통과학연구
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• 제20권4호
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• pp.101-110
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• 2022

Purpose: This study is a comparative study to examine the differences between Incoterms 2010 and Incoterms 2010 through a study on the revision contents and conditions of Incoterms 2020. Research design, data, methodology: This study is composed of 5 chapters through literature study. Chapter 1 is an introduction, and Chapter 2 explains the significance and change of standard trading conditions. Chapter 3 compares Incoterms 2020 and 2010. Chapter 4 deals with major revisions and considerations of Incoterms 2020, and Chapter 5 mentions conclusions and implications. Results: In comparison with Incoterms 2020 and Incoterms 2010, first, the selection of the correct Incoterms rules was emphasized through the introduction; second, the division and connection between the sale contract and the ancillary contract were more clearly explained; and third, each Incoterms An explanatory note was presented by improving the existing guidance note for rules, and finally, the order of clauses within individual Incoterms rules was changed to further emphasize delivery and risk. Conclusions: This study pays attention to the understanding of academic content related to standard trade terms and conditions and how usefully it can be used in the business process of users in practice.

• 아태비즈니스연구
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• 제14권4호
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• pp.401-412
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• 2023

Purpose - The purpose of this study is to analyze cases and suggest implications regarding the exclusion of the agreement tax rate according to the processing process standards of the FTA rules of origin. Design/methodology/approach - In this study, cases in which export and import companies were excluded from applying the agreed tax rate due to the application of processing operation standards after the application of the FTA were analyzed, focusing on the Tax Tribunal precedents, and a literature study was conducted. Findings - The results of this study analyzed through cases of appeal and verification of exclusion from application of the agreement are as follows. Research implications or Originality - Research on FTA cases is active, but this study is differentiated in that it focuses on analyzing cases of exclusion from application of negotiated tax rates based on meeting the processing process standards applied to fields such as textiles and chemicals in FTA.

• 대한산업공학회지
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• 제27권1호
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• pp.37-46
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• 2001

Business process(workflow) analysis has been recognized as a core step to building information systems. However, most analysts have recognized that deriving consistent business process artifacts even in a simple business domain is very difficult, since most analysis methods give the designers narrative and/or diagrammatic tools that do not support rigorous analysis rules. This often generates inconsistent analysis results, leading to create useless information systems and resulting in tremendous budget wastes. To overcome this weakness, this paper presents a declarative business process modeling method called contract-collaboration net(cc-net), which is not only somewhat formal but also useful to the practitioners. A case study on bank domain is presented to illustrate our approach.

• 한국중재학회지:중재연구
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• 제21권3호
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• pp.21-54
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• 2011

International commercial arbitration has established itself as the primary dispute resolution mechanism for international business transactions. Certainly, there are commonly-accepted standards that have evolved to reflect an internationally-harmonized approach to issues relating to the taking of evidence. This is reflected in International Bar Association("IBA") Rules for Taking of Evidence in International Evidence("IBA Rules"). This IBA Rules were revised in 2010. Designed to assist parties in determining what procedures to use in their particular case, IBA Rules present some of the methods for conducting international arbitration proceedings. Parties and arbitral tribunals may adopt IBA Rules in whole or in part - at the time of drafting the arbitration clause in a contract or once an arbitration commences - or they may use them as guidelines. They supplement applicable national laws and institutional or ad hoc rules. The IBA Rules were an ambitious undertaking, designed to overcome fundamental cultural differences relating to the taking of evidence under different national court systems. While it is difficult to assess how frequently the IBA Rules are actually adopted by parties, it is fair to say that they have had a considerable influence on the practice of taking evidence in international arbitration. This article mainly describes the essential provisions of IBA Rules, as revised in 2010, including but not limited to production of document, witnesses of fact, party-appointed experts, and tribunal-appointed experts. It also provides a comparison of relevant procedural rules of civil law and common law systems to each of the above mentioned provisions. It is important for arbitration practitioners to understand the differences in the taking of evidence under civil law and common law systems, respectively. This article will be helpful for practitioners and academics not only to understand the revised IBA Rules themselves but also to prepare for, and adequately deal with, the frictions that may arise as a result of the differences in approach for taking evidences. Indeed, so prepared, the arbitration practitioner will be able to anticipate the expectations, perceptions and the conduct of the parties, their counsel and the tribunal members.

• 한국정보과학회논문지:소프트웨어및응용
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• 제30권3_4호
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• pp.347-357
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• 2003

웹은 중요한 정보인천이며, 대부분의 웹 응용프로그램은 HTML 작성된 서식문서를 기반으로 한다. 이러한 HTML 기반의 서식문서는 사용자 인터페이스를 제공하는 역할을 할 뿐, 문서서식 설계자가 지향하는 업무처리 절차나 로직을 내포하지는 않는다 그러나 서식문서에는 그것에 대한 처리방법이 함축되어 있고. 이렇게 내재된 전차적 지신을 업무치리 과정의 자동화에 적극적으로 활용할 수 있다. 이에, 본 논문에서는 서신문서에 기반한 업무치리 전차를 자동화시키기 위해 인지과학적인 측면에서 문서의 능동성을 파악하였나. 이를 통해 능동문서(Active Documents)에 대한 새로운 개념과 그 적용 가능성을 제시하고자 한다. 이 능동문서는 문서에 함축되어 있는 업무규칙과 문서처리의 자동화를 지원하기 위한 선언적 지식을 문서 사제에 내포하고 있다. 또한, 본 논문에서는 제시된 능동문서를 처리하기 위한 프레임워크를 제안한다. 제안된 프레임워크는 크게 생성단계와 실행단계로 구성된다. 본 논문에서 제안한 프레임워크의 유용성을 보이기 위해, 인터넷 구매 시스템의 구매 요청서 처리에 능동문서를 적용한 ActiveForm이라는 원형시스템을 설계하고 구현하였다. 그 결과, 본 논문은 서식설계자의 지식이 Prolog로 명시적으로 표현되어 있는 능동문서를 추론엔진에서 처리함으로써 인터넷 응용프로그램의 지능화에 기여할 수 있음을 확인하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.447-450
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• 2003

In this research, we propose an automatic knowledge acquisition and composite knowledge expression mechanism based on machine learning and relational database. Most of traditional approaches to develop a knowledge base and inference engine of expert systems were based on IF-THEN rules, AND-OR graph, Semantic networks, and Frame separately. However, there are some limitations such as automatic knowledge acquisition, complicate knowledge expression, expansibility of knowledge base, speed of inference, and hierarchies among rules. To overcome these limitations, many of researchers tried to develop an automatic knowledge acquisition, composite knowledge expression, and fast inference method. As a result, the adaptability of the expert systems was improved rapidly. Nonetheless, they didn't suggest a hybrid and generalized solution to support the entire process of development of expert systems. Our proposed mechanism has five advantages empirically. First, it could extract the specific domain knowledge from incomplete database based on machine learning algorithm. Second, this mechanism could reduce the number of rules efficiently according to the rule extraction mechanism used in machine learning. Third, our proposed mechanism could expand the knowledge base unlimitedly by using relational database. Fourth, the backward inference engine developed in this study, could manipulate the knowledge base stored in relational database rapidly. Therefore, the speed of inference is faster than traditional text -oriented inference mechanism. Fifth, our composite knowledge expression mechanism could reflect the traditional knowledge expression method such as IF-THEN rules, AND-OR graph, and Relationship matrix simultaneously. To validate the inference ability of our system, a real data set was adopted from a clinical diagnosis classifying the dermatology disease.

• 한국지능시스템학회논문지
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• 제14권6호
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• pp.764-770
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• 2004

This paper presents a hybrid data mining mechanism to extract expert knowledge from historical data and extend expert systems' reasoning capabilities by using fuzzy neural network (FNN)-based learning & rule extraction algorithm. Our hybrid data mining mechanism is based on association rule extraction mechanism, FNN learning and fuzzy rule extraction algorithm. Most of traditional data mining mechanisms are depended ()n association rule extraction algorithm. However, the basic association rule-based data mining systems has not the learning ability. Therefore, there is a problem to extend the knowledge base adaptively. In addition, sequential patterns of association rules can`t represent the complicate fuzzy logic in real-world. To resolve these problems, we suggest the hybrid data mining mechanism based on association rule-based data mining, FNN learning and fuzzy rule extraction algorithm. Our hybrid data mining mechanism is consisted of four phases. First, we use general association rule mining mechanism to develop an initial rule base. Then, in the second phase, we adopt the FNN learning algorithm to extract the hidden relationships or patterns embedded in the historical data. Third, after the learning of FNN, the fuzzy rule extraction algorithm will be used to extract the implicit knowledge from the FNN. Fourth, we will combine the association rules (initial rule base) and fuzzy rules. Implementation results show that the hybrid data mining mechanism can reflect both association rule-based knowledge extraction and FNN-based knowledge extension.

• 정보처리학회논문지D
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• 제11D권3호
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• pp.545-552
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• 2004

데이터마이닝 기법중의 하나인 연관규칙 탐사는 데이터베이스상에서 빈번하게 나타나는 데이터들 중 서로 연관성이 강한 데이터들을 탐색대상으로 한다. 그러나. 빈번하게 나타나지 않는 희소한 데이터들이라 할 지라도 가중치가 높은 중요한 데이터이면서 서로 연관성이 강할 경우 비즈니스정보로서 중요한 가치가 있다. 본 논문에서는 데이터베이스 상에서 희소하게 나타나지만 중요한 의미를 갖고 또한 서로 연관성이 높은 데이터들을 탐사할 수 있는 연관규칙 탐사 알고리즘을 제안한다. 제안한 알고리즘의 성능을 시뮬레이션을 통하여 평가한 결과 희소하면서도 중요한 데이터를 사이의 연간규칙을 효율적으로 탐사함을 알 수 없었다

• 한국중재학회지:중재연구
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• 제23권1호
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• pp.177-200
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• 2013

Recently, many international arbitration institutions have responded to the business requirements of their users and have revised their rules to enhance the time and cost efficiency. Korean Commercial Arbitration Board (KCAB) revised the international arbitration rule in 2011, introducing new arbitration mechanisms like the expedited procedure. Also other Asian arbitration institutions introduced the expedited procedure in their international arbitration rules. Now expedited procedures are regarded as a very attractive system in the field of international arbitration. Accordingly, this paper reviewed the expedited procedures of four Asian countries, including China(CIETAC), Hong Kong (HKIAC), Singapore(SIAC) and Korea(KCAB). The purpose of this study is to find out meaningful implications to improve the Korean system. Based on this review, some recommendations are suggested as follows. First, the scope of the expedited procedure has to be adjusted upward than the current 200 million won. Second, there should be a fee schedule only for the expedited procedure. Third, in case of small amount international disputes, written examination should be more used in the expedited procedure. Finally, KCAB should make strong efforts to improve the awareness and usage of the expedited procedure in Korea.