• 한국지능시스템학회논문지
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• 제11권9호
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• pp.855-858
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• 2001

In this paper the concept of fuzzy connectedness between fuzzy sets [8] is generalized to fuzzy bitopological spaces and some of its properties are studied.

• 한국지능시스템학회논문지
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• 제21권3호
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• pp.389-394
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• 2011

The notion of generalized intuitionistic fuzzy soft set theory is proposed. Our generalized intuitionistic fuzzy soft set theory is a combination of the generalized intuitionistic fuzzy set theory and the soft set theory. In other words, our generalized intuitionistic fuzzy soft set theory is an extension of the intuitionistic fuzzy soft set theory. The complement, "and" and "or" operations are defined on the generalized intuitionistic fuzzy soft sets. Their basic properties for the generalized intuitionistic fuzzy soft sets are also presented and discussed.

• 한국지능시스템학회논문지
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• 제9권6호
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• pp.644-649
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• 1999

in this paper we introduce the notions of fuzzy r-adherent points fuzzy r-accumulation points and fuzzy r-derived sets in fuzzy topological spaces and investigate some of their properties.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.345-348
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• 2001

In this paper the concept of fuzzy connectednees between fuzzy sets [8] is generalized to fussy bitopological spaces and some of its properties are studied.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 춘계학술대회 및 임시총회
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• pp.114-118
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• 2002

As a generalization of fuzzy sets, the concept of intuitionistic fuzzy sets was introduced by Atanassov [1]. By using intuitionistic fuzzy sets, we introduce and study the concept of intuitionistic fuzzy filters and define the concept of Hausdorffness on intuitionistic fuzzy filters, which can not be defined in crisp theory of filters, and study their properties for some extent.

• 한국지능시스템학회논문지
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• 제17권4호
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• pp.557-562
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• 2007

This paper extends the work of Maji et al. (2001) to present the concept of interval-valued fuzzy soft sets and to present an algorithm for finding where the degree of membership are represented by interval values in [0, 1]. The proposed method is more flexible than the one presented in Maji et at. (2001) due to the fact that it allows the degrees of membership of object for parameters to be represented by interval-values rather than crisp real values between zero and one.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.956-958
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• 1995

This paper presents the automatic construction of fuzzy rule-based systems for diagnosing the faults of complex systems. Generally, fuzzy systems work well when we can use expert's experience to articulate fuzzy IF-THEN rules and memberships for fuzzy sets. When we cannot do this, we should generate the fuzzy rules and membership functions for fuzzy sets directly from experimental data. In this paper, we propose a new method on how to extract fuzzy sets and fuzzy rules. We also introduce an efficient fine-tunning algorithm of the parameters of membership functions.

• 한국지능시스템학회논문지
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• 제12권4호
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• pp.341-346
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• 2002

주어진 값에 존재하는 불확실성을 표현하기 위하여 타입-1 퍼지값을 사용하듯이, 타입-1 퍼지값의 소속함수를 명확히 정의하기 어려운 경우에 타입-2 퍼지값을 사용할 수 있다. 타입-2 퍼지값은 타입-1 퍼지값에 비해 표현범위가 넓다는 장점이 있지만 타입-2 퍼지값의 사용을 위해서는 기존에 타입-1 퍼지값에서 정의되었던 연산들에 대한 확장된 재정의가 필요하다. 본 논문에서는 타입-2 퍼지값에 대한 비교 및 순위결정에 대한 방법을 제안하였다. 제안된 방법은 타입-2 퍼지값의 실제값과 그 실제값에 대한 가능성을 고려하여 비교결과를 산출하는 만족함수에 기반하고 있으며, 각각의 비교 및 순위결정 결과에 대한 가능성 혹은 신뢰도를 계산한다. 본 논문에서는 제안된 방법이 갖는 몇몇 특성에 대하여도 분석하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권2호
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• pp.200-205
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• 2003

In this paper, we generally introduce some of the terminology of Yalvac [10] and Azad [4] in intuitionistic fuzzy topological spaces. In addition to the fundamental concepts of intuitionistic fuzzy sets, we emphasize the usefulness of the concepts of intuitionistic fuzzy points intuitionistic fuzzy elementhood. Mainly, this paper is devoted to the study of intuitionistic fuzzy topological spaces with specific attention to the weaker forms of fuzzy continuity.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권1호
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• pp.29-34
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• 2005

The aim of this paper is to introduce fuzzy γ-continuity and fuzzy γ-retracts in a fuzzy topology on fuzzy sets and establish some of their properties. Also, the relations between these new concepts are discussed.