• 제목/요약/키워드: Neighborhood systems

검색결과 246건 처리시간 0.024초

L-fuzzy topologies on complete MV-algebras

  • Kim, Yong-chan;Ko, Jung-mi
    • 한국지능시스템학회논문지
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    • 제11권7호
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    • pp.649-652
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    • 2001
  • In this paper, we introduce neighborhood systems in an L-fuzzy topology using complete MV-algebras. We investigate the relationship between L-fuzzy topologies and the neighborhood systems. We study the properties of neighborhood system.

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(L,⊙)-quasi-uniform Spaces and (L,⊙)-neighborhood Systems

  • Kim, Yong-Chan;Ko, Jung-Mi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권2호
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    • pp.65-70
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    • 2009
  • In this paper, we introduced the notion of (L,$\bigodot$)-quasi-uniform spaces and (L,$\bigodot$)-neighborhood systems on a strictly two-sided, commutative quantale lattice L. We investigate their properties and give the examples. In particular, we study the relations between (L,$\bigodot$)-quasi-uniform spaces and (L,$\bigodot$)-neighborhood systems.

Neighborhood 러프집합 모델을 활용한 유방 종양의 진단적 특징 선택 (A Diagnostic Feature Subset Selection of Breast Tumor Based on Neighborhood Rough Set Model)

  • 손창식;최락현;강원석;이종하
    • 한국산업정보학회논문지
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    • 제21권6호
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    • pp.13-21
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    • 2016
  • 특징선택은 데이터 마이닝, 기계학습 분야에서 가장 중요한 이슈 중 하나로, 원본 데이터에서 가장 좋은 분류 성능을 보여줄 수 있는 특징들을 찾아내는 방법이다. 본 논문에서는 정보 입자성을 기반으로 한 neighborhood 러프집합 모델을 이용한 특징선택 방법을 제안한다. 제안된 방법의 효과성은 5,252명의 유방 초음파 영상으로부터 추출된 298가지의 특징들 중에서 유방 종양의 진단과 관련된 유용한 특징들을 선택하는 문제에 적용되었다. 실험결과 19가지의 진단적 특징을 찾을 수 있었고, 이때에 평균 분류 정확성은 97.6%를 보였다.

친환경 근린주구 인증제도 개발을 위한 국내외 인증제도 비교연구 : 탄소를 중심으로 (A Comparative Research of Assessment System Development for Low Carbon and Sustainable Neighborhood)

  • 신은미;이병호;신성우
    • KIEAE Journal
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    • 제13권3호
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    • pp.21-26
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    • 2013
  • Recently, as the concern over environmental problem has been serious all over the world, carbon has become a key issue to mitigate the problem. In the field of Architecture, various sustainable assessment systems and LCCO2 assessment strategies have been developed, guiding low carbon building while planning. However, assessment system for low carbon neighborhood, which can be more efficient strategy, is still in the stage of research. In this paper, as a research for low carbon assessment system and planning guideline for neighborhood, scope meeting domestic condition has been set and sustainable assessment system for neighborhood, which is similar to low carbon concept, have been compared. LEED-Neighborhood Development, BREEAM-Communities, CASBEE-Urban Development, and GBCC-Apartment Houses were used for comparison. As a result, it is found that those systems has many differences in judging system, aggregating method, scope of evaluation, and relations with a building assessment system. The concern about carbon is not insufficient yet. Finally, assessment system for low carbon neighborhood, which is not only for establishing the plan, but also for giving guideline at the very first state of the plan, should be developed as fast as passible. With the result of this paper, establishment of assessment criteria and the way to measure quantitative $CO_2$ should be studied forward.

격자자료분석을 위한 이웃정보시스템의 비교 (Comparison of Neighborhood Information Systems for Lattice Data Analysis)

  • 이강석;신기일
    • 응용통계연구
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    • 제21권3호
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    • pp.387-397
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    • 2008
  • 최근 공간통계를 이용한 많은 연구가 진행되고 있고 공간통계학을 접목한 소지역 추정(small area estimation) 방법이 좋은 결과를 주고 있는 것으로 알려져 있다 소지역 추정에 사용되는 격자자료(lattice data) 분석에서 이웃정보를 정의하는 것은 자료 분석의 성패를 결정짓는 매우 중요한 부분이다. 그러나 기존에 사용된 대부분의 이웃정보시스템은 경계선을 공유할 때 이웃으로 정하는 방법을 사용하고 있다. 이에 본 논문에서는 경계선 공유를 이용한 이웃정보시스템 뿐 아니라 다른 여러 이웃정보시스템을 구하는 방법을 설명하고 2001년 경제활동자료를 이용하여 이 시스템들을 비교하였다

Robust moving horizon control of nonlinear systems

  • Yang, Hyun-Suk
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.279-282
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    • 1995
  • In this paper, a moving horizon control algorithm, which can be applied for a wide class of nonlinear systems with control and state constraints, is considered. In a neighborhood of the origin, a linear feedback controller is applied. Outside this neighborhood, a moving horizon control law is applied. The time taken to solve an optimal control problem is considered in the algorithm so that the proposed control law can be applied as an on-line controller.

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Efficient Algorithms for Solving Facility Layout Problem Using a New Neighborhood Generation Method Focusing on Adjacent Preference

  • Fukushi, Tatsuya;Yamamoto, Hisashi;Suzuki, Atsushi;Tsujimura, Yasuhiro
    • Industrial Engineering and Management Systems
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    • 제8권1호
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    • pp.22-28
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    • 2009
  • We consider facility layout problems, where mn facility units are assigned into mn cells. These cells are arranged into a rectangular pattern with m rows and n columns. In order to solve this cell type facility layout problem, many approximation algorithms with improved local search methods were studied because it was quite difficult to find exact optimum of such problem in case of large size problem. In this paper, new algorithms based on Simulated Annealing (SA) method with two neighborhood generation methods are proposed. The new neighborhood generation method adopts the exchanging operation of facility units in accordance with adjacent preference. For evaluating the performance of the neighborhood generation method, three algorithms, previous SA algorithm with random 2-opt neighborhood generation method, the SA-based algorithm with the new neighborhood generation method (SA1) and the SA-based algorithm with probabilistic selection of random 2-opt and the new neighborhood generation method (SA2), are developed and compared by experiment of solving same example problem. In case of numeric examples with problem type 1 (the optimum layout is given), SA1 algorithm could find excellent layout than other algorithms. However, in case of problem type 2 (random-prepared and optimum-unknown problem), SA2 was excellent more than other algorithms.