• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.10 no.3
• /
• pp.218-223
• /
• 2010

Discussion and analysis about relative mutual information has been carried out through fuzzy entropy and similarity measure. Fuzzy relative mutual information measure (FRIM) plays an important part as a measure of information shared between two fuzzy pattern vectors. This FRIM is analyzed and explained through similarity measure between two fuzzy sets. Furthermore, comparison between two measures is also carried out.

• Journal of the Korean Society for Precision Engineering
• /
• v.9 no.4
• /
• pp.100-108
• /
• 1992

In this study, the technique of adaptive control based on certainty equivalence for the input-output linearization of nonlinear system is investigated. It is shown that the upper bound of the parameter estimation error can be represented more explicitly than Teel et al's works. Another direct approach, which stows that the adaptive input-output linearing control laws using the normalized identifier yield bounded tracing, is also presented.

• Asia pacific journal of information systems
• /
• v.8 no.3
• /
• pp.135-145
• /
• 1998

There exists popular approach using certainty factor (CF) for the development of effective reasoning mechanism under uncertainty in Expert System, However, there is a problem with CF. The CF values could be resulted in the opposite of given conditional probabilities. In this paper, a method for, reasoning under uncertainty using reliability theory to overcome the problem is proposed. And the proposed method is used in the development of Expert System for the selection of equipment for automated warehouses.

• Journal of Electrical Engineering and information Science
• /
• v.2 no.5
• /
• pp.45-50
• /
• 1997

This paper present an advanced fault diagnosis expert system to assist the operators at local control center. The system utilizes all th information available in a local control center for the better diagnostic performance. The major feature of the system is dealing with multiple faults diagnosis based on the certainty factor method for the reasoning process. the overall performance and the generality are also enhanced by utilizing the general topological knowledge. ASCADA simulator is also developed for he test and demonstration.

• Journal of Intelligence and Information Systems
• /
• v.1 no.1
• /
• pp.43-59
• /
• 1995

본 논문에서는 규칙기반 지식표현에서 퍼지값과 확신도를 사용할 때 발생하는 문제점을 살펴본다. 이들 문제점 해결을 위해서 규칙의 매칭시에 발생하는 퍼지매칭, 퍼지비교, 구간내의 포함에 대한 만족정돌르 평가하는 척도를 제안하다. 또한, 퍼지값과 확신도를 사용하는 규칙기반 지식표현에 대해 적용가능한 추론방법을 소개한다. 한편, 일반규칙과 퍼지생성규칙을 전문가시스템에서 동시에 융통성있게 사용하는 방법을 제시한다. 끝으로 제안된 방법들을 고려하여 설계한 퍼지 전문가시스템 개발도구인 FOPS5에 대하여 소개한다.

• Journal of Information Management
• /
• v.21 no.1
• /
• pp.34-52
• /
• 1990

The probabilistic reasoning method using Bayesian theory is studied to use uncertain or incomplete knowledge in ways that take the uncertainty into account. This method presented for knowledge acquisition process of expert system to evaluate certainty degree of input knowledge.

• International Commerce and Information Review
• /
• v.5 no.1
• /
• pp.85-100
• /
• 2003

Legal rules applying to the commerce and international commerce in particular contracts, proper law, jurisdiction and so on, have improved with time and experience. Engaging in e-commerce on the World Wide Web may expose the company to the risk of being sued in any foreign country where Internet user can establish a legal claim. The modem law of contracts is highly sophisticated and difficult to understand. With contracts created in cyberspace, the basic rules are no difference that we can find. However, there are situations in e-commerce that are altogether new and to which the existing rules cannot apply. Here uncertainty and business risk is too high for trading partners to deal with certainty. Therefore existing law must change to e-commerce law so that it provides certainty and enforceability over e-commerce. UNCITRAL Working Group on Electronic Commerce prepared the Preliminary Draft Convention on [International] Contracts Concluded or Evidenced by Data Message from the thirty-ninth session in 2002 which applies to international contracts concluded or evidenced by means of data messages. An electronic contract is concluded when the acceptance of an offer becomes effective, and an offer becomes effective when it is received by the offeree, and an acceptance of an offer becomes effective when the indication of assent is received by the offeror according to this Convention. Electronic contract may be concluded by the interaction of an automated computer system and natural person or by the interaction of automated computer systems, and a contract formed by a natural person that accesses an automated computer system of another person has no legal effect in case the neutral person made a material error in a data message.

• Korean Journal of Environment and Ecology
• /
• v.20 no.3
• /
• pp.319-330
• /
• 2006

It is imperative that pictograms as pictorial information be empirically tested in order to establish whether the users do indeed associate the appropriate referent in an actual usage situation. The experiment employing the Multiple Index Approach was conducted in a class room with 64 subjects to evaluate tourism and recreation related pictograms. Performance data(hit rate, false alarm and missing value) of 25 pictograms were collected and the average hit rate as a prime index of pictogram associativeness was 65.82%. The matrix analysis showed 14 pictograms were high in subjective certainty and subjective suitability. The other 11, which were low in both criteria may require prior learning or improvement of the pictogram designs to represent their meanings more distinctively.

• Transactions of the Korean Society of Mechanical Engineers
• /
• v.15 no.6
• /
• pp.2026-2036
• /
• 1991

An expert system is developed which can diagnose the causes and remedies of the failures of power transmission gears. The basic components of the expert system are knowledge base, inference engine, and working memory. The knowledges in knowledge base are classified into the knowledges for determining the failure types and for diagnosis of causes and remedies of the failures. The former is represented hierarchically into the main category of eleven groups by rules and the sub category of twenty four groups by facts, while the later is represented by facts according to the each group of knowledges. In the inference engine some considerations are implemented, i.e., the backward chaining method and depth first search to determine the category of the failures, the meta-knowledges to shorten the search space, the certainty factor to evaluate the reliability of result, and the unification strategy to diagnose the causes and remedies of the failures. The working memory is established to hold the results during inference temporarily. In addition, knowledge acquisition facility, explanation facility, and user interface are included for the usefulness of user. This expert system is written with the PROLOG programming language on IBM-PC compatible computer operated by MS-DOS and be executed alone.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.5
• /
• pp.240-248
• /
• 2020

Over the past 20 years, brain science has developed rapidly thanks to new technologies such as functional magnetic resonance imaging (fMRI), leading to more accurate knowledge of human nature and behavioral changes. This knowledge is also actively applied in the field of management. This research aimed to gain insights into how neuroscience can be incorporated into management through the case of Midas IT Co. This construction software company has a separate organization with the purpose of studying brain science, and it makes and implements human resource management policies based on brain science. The founder Lee Hyung-woo has a humanist management philosophy, and the company's brain science research supports that philosophy. The case study method was adopted as the research method, and procedures such as interviews and direct observation, participation observation, and document information were carried out. The company's human resource management system can be explained by a brain science model called "SCARF", which combines various neuroscience discoveries. As this model suggests, the company has improved the trust and satisfaction of its members by reducing threat of status and by increasing certainty, autonomy, relationship, and fairness in the workplace, resulting in the creation of a platform for creativity, integrity, and high performance.