• 제목/요약/키워드: If-Then rule

검색결과 214건 처리시간 0.028초

Rule 기반 상품규칙 시스템의 설계 (Design of Rule-based System for Insurance Product)

  • 김도형;오영배
    • 한국IT서비스학회지
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    • 제2권2호
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    • pp.63-73
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    • 2003
  • Insurance system has a lot of decision factors which are affected by the kinds of insurance products. and has the features of many exceptions. Since in applying the product attributes to the current system the value definition through tables and the exception treatment logic (if then else) are used in parallel, the cost of a product change and a new product development becomes increased and the prompt market reaction is difficult. In this paper, we propose the well formed rule base system which makes data for the business logic of insurance attributes and discuss the benefit of application of this system to the real project.

비선형 시스템에 대한 동적인 규칙 삽입을 이용한 퍼지 관측기 설계 (Design of Fuzzy Observer for Nonlinear System using Dynamic Rule Insertion)

  • 서호준;박장현;서삼준;김동식;박귀태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 D
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    • pp.2308-2310
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    • 2001
  • In the adaptive fuzzy sliding mode control, from a set of a fuzzy IF-THEN rules adaptive fuzzy sliding mode control whose parameters are adjusted on-line according to some adaptation laws is constructed for the purpose of controlling the plant to track a desired trajectory. Most of the research works in nonlinear controller design using fuzzy systems consider the affine system with fixed grid-rule structure based on system state availability. The fixed grid-rule structure makes the order of the controller big unnecessarily, hence the on-line fuzzy rule structure and fuzzy observer based adaptive fuzzy sliding mode controller is proposed to solve system state availability problems. Therefore, adaptive laws of fuzzy parameters for state observer and fuzzy rule structure are established implying whole system stability in the sense of Lyapunov.

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APPROXIMATIVE INFERENCE IN HIERARCHICAL STRUCTURED RULE BASES

  • Koczy, Laszlo T.;Hirota, Kaoru
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.1262-1265
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    • 1993
  • The paper discusses the problem of controlling systems with a very high number of input variables effectively by fuzzy If . . . then rules. The basic idea is the partition of the state space into domains, which step can be done even iteratively several times, and every domain has its own sub rule base referring to a considerably lower number of variables than the original space. In this manner the number of necessary rules is drastically reduced and time complexity of the control algorithm remains acceptable.

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Fuzzy Classifier System for Edge Detection

  • Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제3권1호
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    • pp.52-57
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    • 2003
  • In this paper, we propose a Fuzzy Classifier System(FCS) to find a set of fuzzy rules which can carry out the edge detection. The classifier system of Holland can evaluate the usefulness of rules represented by classifiers with repeated learning. FCS makes the classifier system be able to carry out the mapping from continuous inputs to outputs. It is the FCS that applies the method of machine learning to the concept of fuzzy logic. It is that the antecedent and consequent of classifier is same as a fuzzy rule. In this paper, the FCS is the Michigan style. A single fuzzy if-then rule is coded as an individual. The average gray levels which each group of neighbor pixels has are represented into fuzzy set. Then a pixel is decided whether it is edge pixel or not using fuzzy if-then rules. Depending on the average of gray levels, a number of fuzzy rules can be activated, and each rules makes the output. These outputs are aggregated and defuzzified to take new gray value of the pixel. To evaluate this edge detection, we will compare the new gray level of a pixel with gray level obtained by the other edge detection method such as Sobel edge detection. This comparison provides a reinforcement signal for FCS which is reinforcement learning. Also the FCS employs the Genetic Algorithms to make new rules and modify rules when performance of the system needs to be improved.

상황 인지 서비스를 위한 경량 규칙 엔진 (A Light-Weight Rule Engine for Context-Aware Services)

  • 유승규;조상영
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제5권2호
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    • pp.59-68
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    • 2016
  • 상황 인지 서비스는 서비스 대상의 주변 상황을 인지하여 상황에 맞는 유용한 서비스를 제공한다. 규칙 기반 시스템은 상황 정보를 IF 구문으로 표현하고 상황에 따른 동작을 THEN 구문으로 표현하는 규칙을 사용하여 상황 인지 서비스를 제공할 수 있다. 본 논문에서는 스마트 사물을 위하여 메모리 사용을 최적화한 경량 규칙 엔진을 제안한다. 제안된 엔진은 규칙을 기초 연산 단위로 관리하고 계산 값을 저장하는 메모리를 최소화하였으며 해시 표를 사용하여 규칙 및 상황 정보를 효율적으로 관리한다. 실제 쥐 훈련 시스템에서 사용하는 규칙 집합을 이용하여 제안된 엔진이 기존 Rete 알고리즘에 비하여 실행 속도는 다소 느리지만 매우 작은 메모리를 사용함을 확인하였다.

차세대 웹 환경에서의 Rete Algorithm을 이용한 정방향 추론엔진 SMART - F 개발 (Development of Forward chaining inference engine SMART-F using Rete Algorithm in the Semantic Web)

  • 정균범;홍준석;김우주;이명진;박지형;송용욱
    • 지능정보연구
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    • 제13권3호
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    • pp.17-29
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    • 2007
  • 웹 표준 언어인 XML에 기반한 각종 표준들을 바탕으로 소프트웨어 에이전트와의 인터페이스에 초점을 맞추고 있는 차세대 웹에서 소프트웨어 에이전트의 두뇌 역할을 수행하기 위한 추론엔진은 시맨틱 웹(Semantic Web)에서의 규칙 표현을 위한 언어인 SWRL(Semantic Web Rule Language)을 이해할 수 있어야 한다. 본 연구에서는 SWRL을 규칙 표현 방법으로 사용하고, OWL을 사실 표현 방법으로 사용하는 정방향 추론엔진인 SMART-F(SeMantic web Agent Reasoning Tools-Forward chaining inference engine)을 개발하고자 한다. 전통적인 규칙 추론 분야에서는 정방향 추론을 위하여 if-then 형태의 규칙을 네트워크 구조로 변환하여 정방향 규칙 추론의 효율성을 높인 Rete 알고리즘이 많이 사용되고 있다. 이를 시맨틱 웹 환경에 적용하기 위하여 SWRL 기반 정방향 추론을 위한 요구 기능을 분석하고, Rete 알고리즘에 도출된 차세대 시맨틱 웹의 요구 기능을 반영한 정방향 추론 알고리즘을 설계하였다. 또한, 유비쿼터스 환경에서의 각종 플랫폼의 독립성과 이식성을 확보하고 기기간의 성능 차이를 극복할 수 있도록 사실 베이스 및 규칙 베이스의 관리도구와 정방향 추론 엔진 등을 Java 컴포넌트로 개발하였으며, 이는 이미 개발된 역방향 추론엔진인 SMART-B와 규칙 베이스 및 사실 베이스를 완벽하게 호환 가능하므로 차세대 웹 환경에서의 지식 활용을 극대화시킬 것이다.

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Tetra-cosine Rule 에 의한 Vector Space고찰 (A Study on the Vector Space by Taking the Tetra-cosine Rule)

  • 김건희;이수종;김홍건
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 춘계학술대회 논문집
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    • pp.389-394
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    • 1997
  • Consider a tetrhedron is composed of six dihedral angles .phi.(i=1,2..., 6), and a vertex of a tetrahedron is also three dihedral angles. It will assume that a vertex A, for an example, is composed of there angles definded such as .alpha..betha. and .gamma. !. then there is a corresponding angle can be given as .phi1.,.phi2.,.phi3.. Here, in order to differentiate between a conventional triangle and dihedral angle, if a dihedral angle degined in this paper is symbolized as .phi..LAMBDA.,the value of cos.theta.of .phi./sab a/, in a trigonometric function rule,can be defined to tecos.phi..LAMBD/sab A/., and it is defined as a tetradedral cosine .phi. or simply called a tecos.phi.. Moreover, in a simillar method, the dihedral angle of tetrahedron .phi..LAMBDA. is given as : value of sin .theta. can defind a tetra-sin.phi..LAMBDA., and value of tan .theta. of .phi..LAMBDA. is a tetra-tan .phi..LAMBDA. By induction it can derive that a tetrahedral geometry on the basis of suggesting a geometric tetrahedron

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Observer Based Sliding Mode Controller for Nonlinear System using Dynamic Rule Insertion

  • Seo, Ho-Joon;Kim, Dong-Sik;Seo, Sam-Jun;Park, Jang-Hyun;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.67.2-67
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    • 2001
  • In the adaptive fuzzy sliding mode control, from a set of fuzzy IF-THEN rules adaptive fuzzy sliding mode control whose parameters are adjusted on-line according to some adaptation laws is constructed for the purpose of controlling the plant to track a desired trajectory. Most of the research works in nonlinear controller design using fuzzy systems consider the affine system with fixed grid-rule structure based on system state availability. The fixed grid-rule structure makes the order of the controller big unnecessarily, hence the on-line fuzzy rule structure and fuzzy observer based adaptive fuzzy sliding mode controller is proposed to solve system state availability problems. Therefore adaptive laws of fuzzy parameters ...

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정신적 무능력자가 체결한 중재약정에 관한 미국 연방법원의 분리가능성 법리의 분석 (Analysis of the U.S. Federal Courts' Separability Doctrines for Arbitration Clause Entered Into by the Mentally Incapacitated)

  • 신승남
    • 한국중재학회지:중재연구
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    • 제30권1호
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    • pp.39-66
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    • 2020
  • Under the doctrine of separability, if the party did not specifically challenge the validity of the arbitration clause, then it is presumed valid, and arbitrators would still have authority to adjudicate disputes within the scope of the arbitration clause. Further, the Primerica and Spahr decisions address whether a court or an arbitrator should adjudicate a claim that a contract containing an arbitration clause is void ab initio due to mental incapacity. If the arbitration agreement is separable, as was found in Primerica, then the "making" of the agreement is not at issue when the challenge is directed at the entire contract and arbitrators may exercise authority. If an arbitration provision is not separable from the underlying contract, as in Spahr, a defense of mental incapacity necessarily goes against both the entire contract and the arbitration agreement, so the "making" of the agreement to arbitrate is at issue, and the claim is for courts to decide. Although no bright line rule can be established to deal with challenges of lack of mental capacity to an arbitration agreement, the rule in Prima Paint should not be extended to this defense. Extending the rule in Prima Paint would force an individual with a mental incapacity to elect between challenging the entire contract and challenging arbitration. Accordingly, there should be a special set of rules outside of the context of Prima Paint to address the situation of status-based defenses, specifically mental capacity defenses, to contracts containing arbitration provisions.

Neural network rule extraction for credit scoring

  • Bart Baesens;Rudy Setiono;Lille, Valerina-De;Stijn Viaene
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.128-132
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    • 2001
  • In this paper, we evaluate and contrast four neural network rule extraction approaches for credit scoring. Experiments are carried our on three real life credit scoring data sets. Both the continuous and the discretised versions of all data sets are analysed The rule extraction algorithms, Neurolonear, Neurorule. Trepan and Nefclass, have different characteristics, with respect to their perception of the neural network and their way of representing the generated rules or knowledge. It is shown that Neurolinear, Neurorule and Trepan are able to extract very concise rule sets or trees with a high predictive accuracy when compared to classical decision tree(rule) induction algorithms like C4.5(rules). Especially Neurorule extracted easy to understand and powerful propositional if -then rules for all discretised data sets. Hence, the Neurorule algorithm may offer a viable alternative for rule generation and knowledge discovery in the domain of credit scoring.

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