• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.3
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• pp.181-187
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• 2014

Dealing with uncertainty is always a challenging problem. Intuitionistic fuzzy sets was presented to manage situations in which experts have some membership and non-membership value to assess an alternative. Hesitant fuzzy sets was used to handle such situations in which experts hesitate between several possible membership values to assess an alternative. In this paper, the concept of intuitionistic hesitant fuzzy set is introduced to provide computational basis to manage the situations in which experts assess an alternative in possible membership values and non-membership values. Distance measure is defined between any two intuitionistic hesitant fuzzy elements. Fuzzy technique for order preference by similarity to ideal solution is developed for intuitionistic hesitant fuzzy set to solve multi-criteria decision making problem in group decision environment. An example is given to illustrate this technique.

• Speech Sciences
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• v.14 no.2
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• pp.105-114
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• 2007

The performance of speaker identifier is severely degraded in noisy environments. A study suggested the concept of observation membership for enhancing performances of speaker identifier with noisy speech [1]. The method scaled observation probabilities of input speech by observation identification values decided by SNR. In the paper [1], the authors suggested heuristic parameter values for membership function. In this paper we attempt to apply particle swarm optimization (PSO) for obtaining the optimal parameters for speaker identification in noisy environments. With the speaker identification experiments using the ETRI database we prove that the optimization approach can yield better performance than using only the original membership function.

• Journal of Power Electronics
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• v.12 no.5
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• pp.830-841
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• 2012

Active power filters (APF) can be employed for harmonic compensation in power systems. In this paper, a fuzzy based method is proposed for identification of probable APF nodes of a radial distribution system. The modified adaptive particle swarm optimization (MAPSO) technique is used for final selection of the APFs size. A combination of Fuzzy-MAPSO method is implemented to determine the optimal allocation and size of APFs. New fuzzy membership functions are formulated where the harmonic current membership is an exponential function of the nodal injecting harmonic current. Harmonic voltage membership has been formulated as a function of the node harmonic voltage. The product operator shows better performance than the AND operator because all harmonics are considered in computing membership function. For evaluating the proposed method, it has been applied to the 5-bus and 18-bus test systems, respectively, which the results appear satisfactorily. The proposed membership functions are new at the APF placement problem so that weighting factors can be changed proportional to objective function.

• Journal of Industrial Convergence
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• v.1 no.1
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• pp.25-40
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• 2003

A number of recent studies have contributed to an increased understanding of how and why workers feel bound to their unions. However, by now there has been limited theoretical works on the various forms that union membership can take. Thus, the goal of this study is to develop the types of union membership. To develop the types of union membership, I used the ideological and instrumentalitic concepts. The types of union membership are identified as follows: Positive free agents (${\Leftrightarrow}$ Negative free agents) have low levels of both positive (negative) instrumentality and positive (negative) ideology. If positive (negative) instrumentality is high and positive (negative) ideology low, this group may be labeled Instrumentals (${\Leftrightarrow}$Disgruntled). Expressives (${\Leftrightarrow}$Antagonizers) have low levels of positive (negative) union instrumentality and high levels of positive (negative) ideology. Those who have high levels of both positive (negative) ideology and positive (negative) instrumentality have been called Identifiers (${\Leftrightarrow}$Opponents). Variables related to union instrumentality, and union ideology were investigated: (1) the personal characteristics of individual members, (2) the employing organization, (3) the union characteristics, (4) the economic environment, (5) the labor relations climate.

• Journal of Internet Computing and Services
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• v.8 no.1
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• pp.125-132
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• 2007

This paper presents an approach to detect premature ventricular contractions(PVC) using the neural network with weighted fuzzy membership functions(NEWFM), NEWFM classifies normal and PVC beats by the trained weighted fuzzy membership functions using wavelet transformed coefficients extracted from the MIT-BIH PVC database. The eight most important coefficients of d3 and d4 are selected by the non-overlap area distribution measurement method. The selected 8 coefficients are used for 3 data sets showing reliable accuracy rates 99,80%, 99,21%, and 98.78%, respectively, which means the selected input features are less dependent to the data sets. The ECG signal segments and fuzzy membership functions of the 8 coefficients enable input features to interpret explicitly.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.1111-1123
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• 2023

In recent years, as generative models have developed, research that threatens them has also been actively conducted. We propose a new membership inference attack against text-to-image model. Existing membership inference attacks on Text-to-Image models produced a single image as captions of query images. On the other hand, this paper uses personalized embedding in query images through Textual Inversion. And we propose a membership inference attack that effectively generates multiple images as a method of generating Adversarial Prompt. In addition, the membership inference attack is tested for the first time on the Stable Diffusion model, which is attracting attention among the Text-to-Image models, and achieve an accuracy of up to 1.00.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.735-744
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• 2021

This study is a concept analysis of membership, using the evolutionary concept analysis method. Literatures published from January 2000 to January 2020 were searched on CINAHL, EBSCO, and websites of professional associations, using keywords including 'Member support', 'Member welfare', 'Professional association', 'Membership', and 'Member benefit.' Finally, 12 articles and 4 professional association website data were selected for analysis. The antecedents of membership comprised two dimensions, viz., the member level, and the association level. The antecedent at the member level included need of members, whereas antecedent at the association level was to set up a new department responsible for memberships. Attributes of the membership included 'member support', 'member professionalization', and 'member solidarity'. The consequences of membership also consisted of two dimensions: increased member satisfaction and professionality, and enhancement of rights and interests at the member level, and improvement of public awareness for the professional association at the association level. The findings of this study suggest that providing proper membership is a desirable direction of the association's member support considering the member's opinion ultimately, and propose future research for membership development. This study significantly provides the contextual basis, by identifying the antecedents, attributes, and consequences of membership.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.99-109
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• 2020

Paid membership is a useful marketing method that can acquire long-term customers. This study benchmarked representative overseas memberships, Amazon Prime, Alibaba 88 Membership, and Rakuten Super Point, so that domestic shopping platform companies can refer to launch the paid membership. The membership services have in common: economic benefits, convenient experiences, and discriminatory treatment. Domestic companies should set the core customer value they want to deliver to consumers and organize the benefits so that paid membership can be operated from a long-term perspective. This study has a high practical contribution and it is necessary to conduct an empirical analysis of experts and a customer user survey in the future.

• Journal of the Ergonomics Society of Korea
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• v.23 no.2
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• pp.37-54
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• 2004

Fuzzy theory provides an intelligence treatment model for judgement about information when it needs a solution or a decision making about vague problems. Therefore, fuzzy theory is used for appropriate evaluation and decision on obscure information as human's emotion in human factors, In previous study, fuzzy membership function is defined for judgement infOlmation as human's emotion then ultimate results are deducted through fuzzy inference model. This method uses general CWTent through literature review or max, min and average as representative statics value about considering variables. But, this method makes away with nonlinear's or inegular's factors of human sensibility. Accordingly, application of this method leads to considerable loss of information in the ultimate evaluation. For that reason, this method has a limitation in objective evaluation of human factors. So, this study focuses on development of fuzzy membership function, which evaluates human's emotion or feeling accurately and objectively. We used the regression analysis and reasoned a fuzzy membership function about the relation of the variables. Then we verified the adequacy with the reliability through the experiment after this.

• Proceedings of KOSOMES biannual meeting
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• 2005.11a
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• pp.79-84
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• 2005

This paper proposes an analysis to image of inchon port using fuzzy theory. After analysis, positive opinion is mean membership function 0.73 and positive membership function 0.27, negative opinion is mean membership function 0.69, negative membership function 0.31 about inchon port development. therefore, for port development need to accomodation of each opinion postive opinion is maximum decrease from 20 age to 30 age. and negative opinion is maximum increase from 10 age to 20 age. According to the results, port development need to high positive image and low negative image.