• Honam Mathematical Journal
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• v.32 no.1
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• pp.17-27
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• 2010

In this paper we apply the notion of soft sets introduced by Molodtsov to the theory of BF-algebras. Soft BF-subalgebras and homomorphisms in soft BF-algebras are discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.412-415
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• 2008

In this paper, we show that the concepts of null interval-valued fuzzy and absolute interval-valued fuzzy soft sets are not reasonable. Thus we introduce the modified concepts for them and study some properties. Also we introduce an operation for the interval-valued fuzzy soft set theory and study basic properties.

• Honam Mathematical Journal
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• v.31 no.3
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• pp.335-349
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• 2009

Soft set theory by Molodtsov is applied to ideals in BCC-algebras. The notion of soft BCC-ideals of soft BCC-algebras and idealistic soft BCC-algebras are introduced, and several examples are provided. Relations between a fuzzy BCC-ideal and an idealistic soft BCC-algebra are given, and the characterization of idealistic soft BCC-algebras is established.

• Honam Mathematical Journal
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• v.40 no.3
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• pp.457-486
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• 2018

In several fields the soft set theory has a very vast range uses and applications. A soft group is a proper family of subgroups and a fuzzy soft group is a proper family of fuzzy subgroups. Here in this paper the concept of lattice ordered fuzzy soft groups is introduced. Also its some properties are studied and discussed. In addition, the defintion of lattice order fuzzy soft right (left) cosets and lattice order soft product of fuzzy soft subgroups and some related results are discussed to clear these ideas.

• Journal of applied mathematics & informatics
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• v.26 no.3_4
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• pp.707-720
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• 2008

Molodtsov [12] introduced the concept of soft set as a new mathematical tool for dealing with uncertainties that is free from the difficulties that have troubled the usual theoretical approaches. In this paper we apply the notion of soft sets by Molodtsov to commutative ideals of BCK-algebras, The notions of commutative soft ideals and commutative idealistic soft BCK-algebras are introduced, and their basic properties are investigated. Examples to show that there is no relations between positive implicative idealistic soft BCK-algebras and commutative idealistic soft BCK-algebras are provided.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.2
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• pp.71-76
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• 2011

The problem of decision making under imprecise environments are widely spread in real life decision situations. We present a method of object recognition from imprecise multi observer data, which extends the work of Roy and Maji [J Compu. Appl. Math. 203(2007) 412-418] to generalized intuitionistic fuzzy soft set theory. The method involves the construction of a comparison table from a generalized intuitionistic fuzzy soft set in a parametric sense for decision making.

• Communications of the Korean Mathematical Society
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• v.30 no.3
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• pp.155-168
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• 2015

Strong uni-soft filters and divisible uni-soft filters in residuated lattices are introduced, and several properties are investigated. Characterizations of a strong and divisible uni-soft filter are discussed. Conditions for a uni-soft filter to be divisible are established. Relations between a divisible uni-soft filter and a strong uni-soft filter are considered.

• Geotechnical Engineering
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• v.11 no.3
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• pp.69-80
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• 1995

A numerical study was performed consolidation of soft clay with high vc difference method, based on the prover was used to estimate consolidation set Results of centrifuge model tests a using the finite strain consolidation an Analyzed results between two theories Infinitesimal theory showed more delta the finite strain consolidation theory caused by that the finite strain condo during consolidation as well as non relations.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.175-178
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• 1997

최근들어 가전제품은 90년대를 전후로 고품질화, 고기능화, 다양화, 지능화로의 추세가 한층 가속화되도 있다. 즉 퍼지, 신경회로망, 카오스, 유전자 알고리즘등으로 대표되는 soft computing 기술을 적용하여 가전제품의 인공지능화를 추구해 왔으며 한편으로는 첨단이론을 적요안 가전제품의 수명은 점점 단축되고 있는 실정이다. 한편 환경보호에 대한 사회 전반적인 인식의 확대호 에너지 절약에 대한 관심이 고조되고 있다. 따라서 세탁기 사용에 있어서 세탁량을 정확히 감지하여 오감지로 인한 과도한 세탁수 사용을 방지할 수 있는 알고리즘을 개발하면 한정된 에너지를 절약하는데 큰 기여를 할 수 있다. Soft computing 기술의 하나인 Rough set 이론을 적용하여 세탁량(포량)감지 알고리즘개발에 관해 기술한다.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.29.2-29
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• 2001

For the design of human-centered systems in which a human and machine such as a robot form a human-in system, human-friendly interaction/interface is essential. Human-friendly interaction is possible when the system is capable of recognizing human biosigns such as5 EMG Signal, hand gesture and facial expressions so the some humanintention and/or emotion can be inferred and is used as a proper feedback signal. In the talk, we report our experiences of applying the Soft computing techniques including Fuzzy, ANN, GA and rho rough set theory for efficiently recognizing various biosigns and for effective inference. More specifically, we first observe characteristics of various forms of biosigns and propose a new way of extracting feature set for such signals. Then we show a standardized procedure of getting an inferred intention or emotion from the signals. Finally, we present examples of application for our model of rehabilitation robot named.