• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1189-1198
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• 2015

For the effects of the global financial crisis cause hedge funds to have a strong influence on financial markets, it is needed to study new approach method to predict hedge fund survival. This paper proposes to organize fuzzy neural network using hedge fund data as input to predict hedge fund survival. The variables of hedge fund data are ambiguous to analyze and have internal uncertainty and these characteristics make it challenging to predict their survival from the past records. The object of this study is to evaluate the predictability of fuzzy neural network which uses grades of membership to predict survival. The results of this study show that proposed system is effective to predict the hedge funds survival and can be a desirable solution which helps investors to support decision-making.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.185-191
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• 2003

The aim of this research is to overall analyze/classify characteristics of Asian major ports. To achieve this aim, we firstly pointed out critical problems on research methodology and research scope which most of previous research have, from related literature review. In order to overcome those problems, major ports in A냠 were selected by the objective indicators, and both algorithms of AHP(Analytic Hierarchical Process) and FCM(Fuzzy C-Means) that revise weakness in previous clustering method were used. Through these hybrid approach, it were found that only 10 ports of 16 major Asian ports had their own phases in Asian major ports. Those 10 ports were classified into 6 port groups, and also membership degree of each port within the 4 port groups and ranking of each ports seer analyzed. Finally, based on results of these analysis, present status and future direction of Busan port were discussed.

• The Korean Journal of Community Living Science
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• v.28 no.4
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• pp.669-686
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• 2017

This study reinterpreted the value of traditional communities in rural areas and explored ways to revitalize sustainable communities. To do this, we surveyed the members' perceptions about the activities of the community organization as assessed through a questionnaire. The questionnaire items focused on the participation, satisfaction and contribution of the members of the community organization, with additional questions investigating the idea of the community vitalizations plan. A self-report questionnaire survey was administered to 321 members of the community, and the results were analyzed through technical data, t-test and ANOVA analysis by using the SPSS program. In the results, the perceptions of the members of the traditional village community differed significantly according to socio - demographic factors and member recognition characteristics. Especially, males were more voluntarily and positively compared to females, and the lower the age of satisfaction, the lower was the perceived individual satisfaction with community activities. In the case of perceived contributions to individuals and the community, the participants perceived positively in the emotional support for the individual's participation in the organization. On the other hand, the results confirmed that the contribution to the local community is important in realistic aspects such as regional vitalizations. It is confirmed by the decrease in the number of members in response to the difficulty of the organization. (Ed- 'the lack of the size of the membership' simply repeats 'the decrease in the number of members'; thus it's unnecessary).

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.6
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• pp.264-273
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• 2006

In this paper, we propose a new architecture of Self-Organizing Fuzzy Polynomial Neural Networks (SOFPNN) by means of consecutive optimization and also discuss its comprehensive design methodology involving mechanisms of genetic optimization. The network is based on a structurally as well as parametrically optimized fuzzy polynomial neurons (FPNs) conducted with the aid of information granulation and genetic algorithms. In structurally identification of FPN, the design procedure applied in the construction of each layer of a SOFPNN deals with its structural optimization involving the selection of preferred nodes (or FPNs) with specific local characteristics and addresses specific aspects of parametric optimization. In addition, the fuzzy rules used in the networks exploit the notion of information granules defined over system's variables and formed through the process of information granulation. That is, we determine the initial location (apexes) of membership functions and initial values of polynomial function being used in the premised and consequence part of the fuzzy rules respectively. This granulation is realized with the aid of the hard c-menas clustering method (HCM). For the parametric identification, we obtained the effective model that the axes of MFs are identified by GA to reflect characteristic of given data. Especially, the genetically dynamic search method is introduced in the identification of parameter. It helps lead to rapidly optimal convergence over a limited region or a boundary condition. To evaluate the performance of the proposed model, the model is experimented with using two time series data(gas furnace process, nonlinear system data, and NOx process data).

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.1
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• pp.70-77
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• 2001

This paper present a fuzzy mxlel of describing reacton features for ozon contactor in advanced water treatn-ent systems. Input and output variables are chosen by considenng the object of ozon processing and several parameters related to management of water quahty. Dissolved organic carbon concentration, $UV_{254}$ absorptIon and $KM_NO_4$ consumption are proposed as common variables in input and outp.lt variables. Furthermore own concentration, raw water's temperature and contact time are suggested as input variables, Membership hmctions for input variables have triangular type share and the grades in each lrembership function are determined by investigating process data gathered at pilot planl The decision parts of fuzzy model have linear combination form of input variables and coefficients included in such linear equations are computedd with process clata in the sense of least square error Also fuzzy trodel suggested in this paper is partitioned by 3 independent fuzzy rnxlels using the characteristics of having no interactions armng output variables. As a result, such fuzzy mxlel has rrerits in computation and comprehension. According to simulatIon results, fuzzy moIel's outputs give almost similar data to process output under same input conditions.

• Journal of Korean Philosophical Society
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• v.148
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• pp.129-156
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• 2018

Recently, a lot of articles and writings defending animal right and welfare are introduced into our society. For example, P. Singer's Animal Liberation, T. Regan's The Case for Animal Rights, and J. Rachels's Created From Animal are representative writings of animal ethics. In his books, P. Singer maintains that all animals are equal. T. Regan insisted that animals as a subject of a life have rights. J. Rachels's moral individualism is that how an individual may be treated is to be determined, not by considering his group membership, but by considering his own particular characteristics. Interestingly, they use common argument called 'argument from marginal cases' to justify their theoretical positions. If we can disclose the weakness of the argument, all kinds of animal ethics which defend animal right and welfare such as animal liberation theory, animal rights theory and moral individualism will collapse. In this paper, I will examine the concrete contexts in which Singer, Regan and Rachels make use of the argument. And I will critically examine the argument. Lastly I will show that the attempt to deny the difference of species is unsuccessful.

• PNF and Movement
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• v.16 no.3
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• pp.377-388
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• 2018

Purpose: The purpose of this study was to survey the operation and development direction in KPNFA. Method: The participants of this study consisted of physical therapists who had a KPNFA membership. The satisfaction levels for each item (KPNFA impression, educational programs, and clinical application) were measured using a 5-point Likert scale. The survey was performed during June and July 2018. The total questionnaire was comprised of 648 samples. For the data analysis, descriptive statistics and Spearman correlation analysis were used to compare the general characteristics and all items. Results: In the questionnaire, the impression of KPNFA was 69.21, the instructor specialization in the educational programs was 74.22, and helpful interventions for clinical application scored 74.96. KPNFA's image is competitive; friendly items scored the highest, and operation suitability and communication scored the lowest. The most important factor of the educational program was the quality of the instructors. The most helpful item was the education intervention program. The nervous system was applied to the patient with the highest response. The age of subjects showed a significant positive correlation with KPNFA impression, KPNFA branch impression, and branch problem solving. The work duration of subjects showed a significant negative correlation with instructor specialization. A regular member duration of subjects showed a negative correlation with teaching method, instructor specialization. Conclusions: The KPNFA survey was performed for the first time. In the future, this data will be utilized as the basis for KPNFA policy.

• Asia Marketing Journal
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• v.7 no.2
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• pp.47-69
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• 2005

With the explosive growth of mobile products industry, tons of newer versions of products are putting on the market. From the marketer's perspective, understanding consumers' replacement purchases, especially the replacement timing, is essential to product planning and selling. This study presents an approach to finding out factors influencing the timing of buyers' replacement purchases of cell phones, using duration analysis; a hazard function specification is applied to describe consumers' replacement timing decision. Based on the data collected from a mobile telecommunication company, five categories of factors have been inspected. These are consumer's innovative service usage, data service usage, voice service usage, participation in loyalty programs, and the demographic characteristics. The results of the study are as follows. Firstly, the positive coefficient of 'the number of related services used' suggests that the consumers who have more usage knowledge tend to replace faster. Secondly, customers participating in the membership service are positively associated with early replacement purchases. Lastly, younger customers(vs. older) and male(vs. female) customers turned out to replace cell phones earlier.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1857-1865
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• 2008

The purpose of this study was to examine the importance of personal attributes as they related to developing first impressions and managing group acceptance in the context of sorority recruitment process. Specifically, we examined how certain personal characteristics of a sorority member were related to her use of a potential member's clothing and appearance as non-verbal cues during the member selection process. The characteristics identified through the literature review were materialism, fashion clothing involvement, and proximity of clothing to self. A questionnaire was distributed to members of two sorority houses at a southeastern university in the United States. A total of 140 US sorority members participated in the study. The results showed that a member's satisfaction with her chapter, her level of participation, and her length of membership in the chapter had no relation with her tendency to base her member selection on clothing and appearance. However, members' use of clothing and appearance as guiding their member selection decisions was related to other individual characteristics selected for the study(materialism, fashion clothing involvement, and proximity of clothing to self). Fashion clothing involvement and proximity of clothing to self(clothing for acceptance) were most significantly related to clothing-based member selection. Partial correlations were also produced to examine the mediating role of clothing-based impression formation.

• Journal of Intelligence and Information Systems
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• v.17 no.1
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• pp.37-52
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• 2011

Supply chain management is a strategic thinking which enhances the value of supply chain and adapts more promptly for the changing environment. For the seamless partnership and value creation in supply chains, information and knowledge sharing and proper partner selection criteria must be applied. Thus, the partner selection criteria are critical to maintain product quality and reliability. Each part of a product is supplied by an appropriate supply partner. The criteria for selecting partners are technological capability, quality, price, consistency, etc. In reality, the criteria for partner selection may change according to the characteristics of the components. When the part is a core component, quality factor is the top priority compared to the price. For a standardized component, lower price has a higher priority. Sometimes, unexpected case occurs such as emergency order in which the preference may shift on the top. Thus, SCM partner selection criteria must be determined dynamically according to the characteristics of part and its context. The purpose of this research is to develop an OWL model for the supply chain partnership depending on its context and characteristics of the parts. The uncertainty of variable is tackled through fuzzy logic. The parts with preference of numerical value and context are represented using OWL. Part preference is converted into fuzzy membership function using fuzzy logic. For the ontology reasoning, SWRL (Semantic Web Rule Language) is applied. For the implementation of proposed model, starter motor of an automobile is adopted. After the fuzzy ontology is constructed, the process of selecting preference-based supply partner for each part is presented.