• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.265-272
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• 2009

Fuzzy number intuitionistic fuzzy sets (FNIFSs), each of which is characterized by a membership function and a non-membership function whose values are trigonometric fuzzy number rather than exact numbers, are a very useful means to describe the decision information in the process of decision making. Wang [10] developed some arithmetic aggregation operators, such as the fuzzy number intuitionistic fuzzy weighted averaging (FIFWA) operator, the fuzzy number intuitionistic fuzzy ordered weighted averaging (FIFOWA) operator and the fuzzy number intuitionistic fuzzy hybrid aggregation (FIFHA) operator. In this paper, based on the FIFHA operator and the FIFWA operator, we investigate the group decision making problems in which all the information provided by the decision-makers is presented as fuzzy number intuitionistic fuzzy decision matrices where each of the elements is characterized by fuzzy number intuitionistic fuzzy numbers, and the information about attribute weights is partially known. An example is used to illustrate the applicability of the proposed approach.

• Journal of the Korean Society of Costume
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• v.54 no.1
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• pp.53-68
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• 2004

The purposes of this study were to classify the contents of lifestyle of adolescence consumers, to examine the differences of lifestyle, importance of store attribute, preference of fashion store according to demographic variables, to test preference of fashion store and lifestyle, preference of fashion store, and to examine how the preference of fashion store was influenced by lifestyle, importance of store attribute, and demographic variables. Subjects were 317 adolescence consumers(13-24 years) in Seoul, Korea. Preference of imported & brand goods, orientation of fashion & beauty life, and family orientation had a direct effect on preference of department store($R^2$=.129). Sex had an indirect effect on preference of department store through orientation of fashion & beauty life. Search of video media & information and age(-) had a direct effect on preference of entertainment shopping center($R^2$=.150). Orientation of fashion & beauty life(-), sales promotion, sex, and reasonable consumption had a direct effect on preference of discount store(R =$^2$.109). Sex(-) had an indirect discount store through orientation of fashion & beauty life, and sex(-), search of video media & information, age(-), and reasonable consumption did through sales promotion. Sales promotion, preference of imported & brand goods(-), and store atmosphere(-) had a direct effect on preference of traditional market($R^2$=.060). Sex(-), age(-), search of video media & information, and reasonable consumption had an indirect effect on preference of traditional market through sales promotion, and search of video media & information, reasonal consumption, and acceptance of foreign culture did through store atmosphere.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.11-19
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• 2006

Sewerage is the system that improves the quality of human life and prevents many disasters such as floods. However the investigators in Korea only have been concerned about the sewer system, so the sewage treatment plant stays in the basic level like mapping. For example, only one attribute can be recognized in the linear object. Because of this limitation, it makes difficult to manage the linear attribute regarding to the sewage pipe plan. And it is impossible to control a partial (point type, line type) attribute changes of the linear object. We will therefore present the applicable method for the attribute changes of the linear object like the sewage pipe plans. For this reason, this paper is designed on the basis of Dynamic Segmentation(DS). DS has the advantage of giving the attribute value to the exact place in the linear object. As a result of using DS, the variety environment changes around the sewage pipes are applied to the building sewerage data. This also makes it possible to get a precise estimation for the maximum dirty water amount.

• The Transactions of the Korea Information Processing Society
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• v.7 no.8
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• pp.2298-2309
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• 2000

This paper proposes the multidimensioa! nested attribute indexing techniques (MD- NAI) in object-oriented databases using a multidimensional index structure. Since most conventional indexing techniques for object oriented databases use a one-dimensional index stnlcture such as the B-tree, they do not often handle complex qUlTies involving both nested attributes and class hierarchies. We extend a tunable two dimensional class hierachy indexing technique(2D-CHI) for nested attributes. The 2D-CHI is an indexing scheme that deals with the problem of clustering ohjects in a two dimensional domain space that consists of a kev attribute dOI11'lin and a class idmtifier domain for a simple attribute in a class hierachy. In our extended scheme, we construct indexes using multidimensional file organizations that include one class identifier domain per class hierarchy on a path expression that defines the indexed nested attribute. This scheme efficiently suppoI1s queries that involve search conditions on the nested attribute represcnted by an extcnded path expression. An extended path expression is a one in which a class hierarchy can be substituted by an indivisual class or a subclass hierarchy in the class hierarchy.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.1-6
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• 2019

The proposed model is developed to minimize the loss of information in incomplete data including missing data. The first step is to transform the learning data to compensate for the loss information using the data extension technique. In this conversion process, the attribute values of the data are filled with binary or probability values in one-hot encoding. Next, this conversion data is input to the deep learning model, where the number of entries is not constant depending on the cardinality of each attribute. Then, the entry values of each attribute are assigned to the respective input nodes, and learning proceeds. This is different from existing learning models, and has an unusual structure in which arbitrary attribute values are distributedly input to multiple nodes in the input layer. In order to evaluate the learning performance of the proposed model, various experiments are performed on the missing data and it shows that it is superior in terms of performance. The proposed model will be useful as an algorithm to minimize the loss in the ubiquitous environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.9
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• pp.3274-3297
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• 2021

Permission delegation is an important research issue in access control. It allows a user to delegate some of his permissions to others to reduce his workload, or enables others to complete some tasks on his behalf when he is unavailable to do so. As an ideal solution for controlling read access on outsourced data objects on the cloud, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) has attracted much attention. Some existing CP-ABE schemes handle the read permission delegation through the delegation of the user's private key to others. Still, these schemes lack the further consideration of granularity and traceability of the permission delegation. To this end, this article proposes a flexible and fine-grained CP-ABE key delegation approach that supports white-box traceability. In this approach, the key delegator first examines the relations between the data objects, read permission thereof that he intends to delegate, and the attributes associated with the access policies of these data objects. Then he chooses a minimal attribute set from his attributes according to the principle of least privilege. He constructs the delegation key with the minimal attribute set. Thus, we can achieve the shortest delegation key and minimize the time of key delegation under the premise of guaranteeing the delegator's access control requirement. The Key Generation Center (KGC) then embeds the delegatee's identity into the key to trace the route of the delegation key. Our approach prevents the delegatee from combining his existing key with the new delegation key to access unauthorized data objects. Theoretical analysis and test results show that our approach helps the KGC transfer some of its burdensome key generation tasks to regular users (delegators) to accommodate more users.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.35-51
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• 2005

The wide spread of Internet and rapid development of e-commerce-related technology have brought sweeping changes on the traditional commercial transactions. Accordingly, many efforts to transform these transactions electronically under e-commerce environment have been carried out. As most transactions are usually made through negotiations, the function of automated negotiation is also required in the e-commerce environment. This paper aims to develop the method to generate and evaluate the multi-attribute negotiation proposals for automated negotiation systems. To this end the related articles are reviewed and the method dealing with e-negotiation strategy is suggested. In this method, the seller generates his or her own negotiation proposal and then evaluates the buyer's proposal based on SAW (Simple Additive Weighting Method), one of the MADM (Multi Attribute Decision Making) methods. To verify the suggested method, a case study is conducted in the order-based manufacturing environment.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.2
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• pp.162-169
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• 2011

Land information is the real-time spatial thing which must be considered with spatial and time factors. This study aims to apply and implement an appropriate spatiotemporal model for land information by exploring spatiotemporal data models which have been suggested in the previous studies. The implemented spatiotemporal model in this study is characterized by time and attribute. In the time aspect, it is divided by valid time and transaction time, and in the attribute aspect, includes the related information such as area and ownership. At the spatial point of view, the model has a spaghetti information structure as reducing information overlapped by managing the spatial information coordinates. The spatiotemporal land information model in this study facilitates representing the quality of attribute, spatial and time information.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.491-505
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• 2013

This study applies framing theory to the presentation of trend or styling information in fashion journalism. A qualitative content analysis was conducted with three lifestyle magazines. The findings include attribute, attitude, and source-based frames. The attribute-based frame was used to increase the versatility and feasibility of design by emphasizing particular attributes of clothes. To increase versatility, an item could be presented either as a basic or trendy design. To increase feasibility, fashion information could be customized by price points (i.e., affordable frame) or body type (i.e., flattering frame). The attitude-based frame includes prescriptive and rule-breaking frames. The source-based frame offers a source of trend or styling information. Expert, celebrity, and consumer frame emerged under the source-based frame. Findings reveal how fashion and style information is defined and crafted.

• Journal of Korean Library and Information Science Society
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• v.39 no.4
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• pp.331-352
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• 2008

The person information is a database given free most lively. This study investigates the construction of the domestic person information database and the service present situation. And I compare a search item and a search method with problems for the biographical database construction process and analyze it. I analyze the problems of the person information database and show the person idea who can solve this. I use term relations and the attribute data of the person which used thesaurus by biographical database construction with this purpose.