• 제목/요약/키워드: SET*

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NOVEL DECISION MAKING METHOD BASED ON DOMINATION IN m-POLAR FUZZY GRAPHS

  • Akram, Muhammad;Waseem, Neha
    • 대한수학회논문집
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    • 제32권4호
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    • pp.1077-1097
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    • 2017
  • In this research article, we introduce certain concepts, including domination, total domination, strong domination, weak domination, edge domination and total edge domination in m-polar fuzzy graphs. We describe these concepts by several examples. We investigate some related properties of certain dominations in m-polar fuzzy graphs. We also present a decision making method based on domination in m-polar fuzzy graphs.

TOPOLOGICAL MAGNITUDE OF A SPECIAL SUBSET IN A SELF-SIMILAR CANTOR SET

  • Baek, In-Soo
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제14권1호
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    • pp.1-5
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    • 2007
  • We study the topological magnitude of a special subset from the distribution subsets in a self-similar Cantor set. The special subset whose every element has no accumulation point of a frequency sequence as some number related to the similarity dimension of the self-similar Cantor set is of the first category in the self-similar Cantor set.

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On connected dominating set games

  • Kim, Hye-Kyung
    • Journal of the Korean Data and Information Science Society
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    • 제22권6호
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    • pp.1275-1281
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    • 2011
  • Many authors studied cooperative games that arise from variants of dominating set games on graphs. In wireless networks, the connected dominating set is used to reduce routing table size and communication cost. In this paper, we introduce a connected dominating set game to model the cost allocation problem arising from a connected dominating set on a given graph and study its core. In addition, we give a polynomial time algorithm for determining the balancedness of the game on a tree, for finding a element of the core.

전자상거래에서의 SET을 이용한 신용카드 보안 대한 연구 (Electronic Commerce to Secure Electronic Transaction credit card)

  • 김일건;신정길
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2001년도 추계산학기술 심포지엄 및 학술대회 발표논문집
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    • pp.230-235
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    • 2001
  • SET(Secure Electronic Transaction)은 인터네트와 같은 open network에서 안전하게 상거래를 할 수 있도록 보장해주는 지불 프로토롤이다. SET은 보안상의 허점을 보완하고자 신용카드 회사인 비자, 마스터카드와 IBM, 넷스케이프, 마이크로소프트 그리고 VeriSign의 기술적인 도움으로 개발되었다. SET은 RSA 데이터 보안회사의 암호화 기술에 기초를 두고 있으며, 기술사양 자체가 공개이므로 누구나 자유롭게 SET 프로토롤을 사용하는 소프트웨어를 개발 할 수 있다. SET은 우리가 일상생활에서 이용하는 신용카드 거래체계를 인터네트를 통한 전자상거래에서도 유사하게 이용할 수 있도록 하였다.

INCREMENTAL INDUCTIVE LEARNING ALGORITHM IN THE FRAMEWORK OF ROUGH SET THEORY AND ITS APPLICATION

  • Bang, Won-Chul;Bien, Zeung-Nam
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.308-313
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    • 1998
  • In this paper we will discuss a type of inductive learning called learning from examples, whose task is to induce general description of concepts from specific instances of these concepts. In many real life situations, however, new instances can be added to the set of instances. It is first proposed within the framework of rough set theory, for such cases, an algorithm to find minimal set of rules for decision tables without recalculation for overcall set of instances. The method of learning presented here is base don a rough set concept proposed by Pawlak[2][11]. It is shown an algorithm to find minimal set of rules using reduct change theorems giving criteria for minimum recalculation with an illustrative example. Finally, the proposed learning algorithm is applied to fuzzy system to learn sampled I/O data.

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Similarity Analysis Between Fuzzy Set and Crisp Set

  • Park, Hyun-Jeong;Lee, Sang-Hyuk.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권4호
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    • pp.295-300
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    • 2007
  • The similarity analysis for fuzzy set pair or crisp set pair are carried out. The similarity measure that is based on distance measure is derived and proved. The proposed similarity measure is considered with the help of analysis for uncertainty or certainty part of the membership functions. The usefulness of proposed similarity is verified through the computation of similarity between fuzzy set and crisp set or fuzzy set and fuzzy set. Our results are also compared with those of previous similarity measure which is based on fuzzy number.

SIMPLE APPROACH TO MULTIFRACTAL SPECTRUM OF A SELF-SIMILAR CANTOR SET

  • BAEK, IN-Soo
    • 대한수학회논문집
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    • 제20권4호
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    • pp.695-702
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    • 2005
  • We study the transformed measures with respect to the real parameters of a self-similar measure on a self-similar Can­tor set to give a simple proof for some result of its multifractal spectrum. A transformed measure with respect to a real parameter of a self-similar measure on a self-similar Cantor set is also a self­similar measure on the self-similar Cantor set and it gives a better information for multifractals than the original self-similar measure. A transformed measure with respect to an optimal parameter deter­mines Hausdorff and packing dimensions of a set of the points which has same local dimension for a self-similar measure. We compute the values of the transformed measures with respect to the real parameters for a set of the points which has same local dimension for a self-similar measure. Finally we investigate the magnitude of the local dimensions of a self-similar measure and give some correlation between the local dimensions.

퍼지 엔트로피 함수를 이용한 데이터추출 (Selection of data set with fuzzy entropy function)

  • Lee, Sang-Hyuk;Cheon, Seong-Pyo;Kim, Sung-Shin
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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    • pp.349-352
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    • 2004
  • In this literature, the selection of data set among the universe set is carried out with the fuzzy entropy function. By the definition of fuzzy entropy, we have proposed the fuzzy entropy function and the proposed fuzzy entropy function is proved through the definition. The proposed fuzzy entropy function calculate the certainty or uncertainty value of data set, hence we can choose the data set that satisfying certain bound or reference. Therefore the reliable data set can be obtained by the proposed fuzzy entropy function. With the simple example we verify that the proposed fuzzy entropy function select reliable data set.

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