• Journal of Korean Home Economics Education Association
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• v.24 no.3
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• pp.101-122
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• 2012

The purpose of this study is to develop teaching learning process plans with problem-based learning using book-making applying to the "Dressing and Self Expression" unit and evaluate its effect in middle school home economics for first grade. We developed teaching learning process plans with problem-based learning using book-making including 9 teaching materials for teachers and 15 learning materials for students. Further, we conducted and investigated pre- and post-tests in a form of questionnaires in 167 students from a girls' middle school in Pusan. Teaching learning process plans with problem-based learning using book-making showed positive results in body satisfaction, such as reduction in distortion or less dissatisfaction regarding students' body images. Also, they were found to be less affected by sociocultural attitude towards appearance. The estimation of students included the positive contents that the class was interested with various materials and it provided them with a chance to understand their body. Meanwhile, minor comments pointed out lack of time and complained of the amount of assignments. With these results, we found that teaching learning process plans with problem-based learning using book-making was an appropriate model to achieve the purpose of this study and we suggested that this class might be applied to other units of middle school home economics.

• Korean Management Science Review
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• v.25 no.1
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• pp.1-9
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• 2008

This paper investigates the R&D project portfolio selection problem. Despite its importance and impact on real world projects, there exist few practical techniques that help construct an non-dominated portfolio for a decision makers satisfaction. One of the difficulties constructing the portfolio is that such project portfolio problem is, in nature, a multi-attribute decision-making problem, which is an NP-hard class problem. This paper investigates the R&D project portfolio selection problem. Despite its importance and impact on real world projects, there exist few practical techniques that help construct an non-dominated portfolio for a decision makers satisfaction. One of the difficulties constructing the portfolio is that such project portfolio problem is, in nature, a multi-attribute decision-making problem, which is an NP-hard class problem. In order to obtain the non-dominated portfolio that a decision maker or a user is satisfied with, we devise a user-interface algorithm, in that the user provides the maximum/minimum input values for each project attribute. Then the system searches the non-dominated portfolio that satisfies all the given constraints if such a portfolio exists. The process that the user adjusts the maximum/minimum values on the basis of the portfolio found continues repeatedly until the user is optimally satisfied with. We illustrate the algorithm proposed, and the computational results show the efficacy of our procedure.

• Information Systems Review
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• v.9 no.3
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• pp.45-65
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• 2007

As digital economy era and knowledge society advent, division of the industry has been indistinctive and complex. This change of business environment has leaded todifficulty in operations of firms consisted of continuous decision making. To develop effective SDSS needs systematic strategic decision making process, efficient problem solving techniques, information of good quality, efficiently information system, and analysis ability of problem solver. This research develop SDSS framework combined strategic decision making process with various problem solving techniques for designing SDSS. Finally, this paper developed the technique recommendation system by selected the criterions of technique assortment.

• Journal of Korean Association for Spatial Structures
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• v.3 no.2 s.8
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• pp.77-83
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• 2003

This paper presents decision making method of structural multi-objective fuzzy optimum problem. The data and behavior of many engineering systems are not know precisely and the designer is required to design the system in the presence of fuzziness in the multi-goals, constraints and consequences of possible actions. In this paper, in order to find a satisfactory solution, the membership functions are constructed for the fuzzy objectives subject to the fuzzy constraints, and two approaches are presented by using the different types of fuzzy decision making. Thus, multi-objective fuzzy optimum problem can be converted into single objective non-fuzzy optimum problem and satisfactory solution of the multi-objective fuzzy optimum problem can be found with general optimum programming. Illustrative numerical example of the ten bar truss for minimum weight and minimum deflection is provided to demonstrate the process of finding the solution and the results are discussed.

• Journal of the Korean Home Economics Association
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• v.19 no.4
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• pp.73-84
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• 1981

The purpose of this study was to examine the conjugal role structure in the purchasing decision process : problem precognition, information seeking and evaluating, final decision, and actually making the purchase, through a survey of the degree of conjugal involvement. The specific objectives were 1) to examine the conjugal role structure and differences at each phase of the decision process in purchasing of residence and twelve durable household consumer goods, 2) to determine the differences between conjugal role structure in each phase of the purchasing decision process and conjugal demographic factors(number of years married, conjugal education level, conjugal occupation, and income). Questionnaires were given to randomly selected husbands and wives in /seoul I October, 1980. data from the 275 responses were analyzed by percentage, mean, and F-test(analysis of variance). The results are as follows : 1) The conjugal role structure for the purchasing decision process of residence and twelve durable household consumer goods was analyzed by percent. It was found that role structure was specialized by the type of item. for instance, furniture and home appliances were purchased by wives; amusement goods and cars were purchased by husbands' and residence was purchased by joint. However, conjugal role structure in the purchasing decision process differed by phased of process : (1) Wives involvement in the phase of problem recognition was greater than their involvement in information seeking and evaluating, but husbands' involvement a in the phase of information seeking and evaluating was slightly greater than their involvement in problem recognition. (2) Husbands' involvement in the phase of making the final decision was far greater than their involvement I information seeking and evaluating. (3) Wives' involvement in the actually making of the purchase was far greater than their involvement in making the final decision. 2) Only one among conjugal demographic factors was significantly related to conjugal role structure. That, is, conjugal role structure in the purchasing decision process showed that the wives' involvement I making the final decision and in actually making the purchase increased with number of years married.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.163-175
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• 1997

This paper presents the algorithm for finding the compensatory solution for fuzzy multiobjective nonlinear programming problem using $\gamma$-operator. The proposed algorithm can be applied to all cases with multiobjective problems since the interactive process with a decision maker is simple, various uncertainties involved on decision making are eliminated and all the objectives are well balanced. On the basis of proposed algorithm, an illustrative numerical example is presented.

• Journal of the Korean Institute of Telematics and Electronics
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• v.13 no.2
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• pp.34-39
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• 1976

The purpose of this thesis is to make clear the problems which would arisc from the process of making the Minicomputer by the employment of LSI, and to examine a solution to the problems. This Simulation 19 do for value performance of NOVA Emulator which designed before this. As a result of this studies, The problem of the hardware design by Microprocessor, the problem to be accompanied with application of LSI to the computer in the furture, etc. are mentioned definitely.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.1
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• pp.1-11
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• 2017

Stochastic resource-constrained project scheduling problem is an extension of resource-constrained project scheduling problem such that activity duration has stochastic nature. In real situation where activity duration is not known until the activity is finished, open-loop based static policies such as activity-based policy and priority-based policy will not well cope with duration variability. Then, a dynamic policy based on closed-loop decision making will be regarded as an alternative toward achievement of minimal makespan. In this study, a dynamic policy designed to select activities to start at each decision time point is illustrated. The performance of static and dynamic policies based on variable neighborhood search is evaluated under the discrete-event simulation environment. Experiments with J120 sets in PSPLIB and several probability distributions of activity duration show that the dynamic policy is superior to static policies. Even when the variability is high, the dynamic policy provides stable and good solutions.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.10
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• pp.1601-1610
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• 2009

Unplanned purchase is an unexpected buying behavior affected by product or marketing stimuli. Unplanned purchase does not follow the order of the rational decision making process. Through an in-depth interview, this study classified the types of unplanned purchase of clothing and examined the decision-making processes. The results (according to the need recognition level of consumers prior to stimuli) show three types of unplanned purchase of clothing products that are classified as: the need-manifesting type, the need-embodying type, and the need-reminding type. In addition, each type is reclassified into the high-cognition type and the low-cognition type according to the cognitive effort level of consumers during the purchase decision-making process. The need-manifesting type recognized a buying need after exposure to stimuli and then engaged in unplanned purchases. The need-embodying type recognized a problem, but the purchase intention was not concrete. The need-reminding type recognized a desire to buy clothing products, but temporarily forgot it, and then later remembered the problem recognition from the past after experiencing the stimuli.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.647-669
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• 2016

Multiple attribute for decision making including user preference will increase the complexity of route selection process. Various approaches have been proposed to solve the optimal route selection problem. In this paper, multi attribute decision making (MADM) algorithms such as Simple Additive Weighting (SAW), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP) method and Total Order Preference by Similarity to the Ideal Solution (TOPSIS) methods have been proposed for acoustic signature based optimal route selection to facilitate user with better quality of service. The traffic density state conditions (very low, low, below medium, medium, above medium, high and very high) on the road segment is the occurrence and mixture weightings of traffic noise signals (Tyre, Engine, Air Turbulence, Exhaust, and Honks etc) is considered as one of the attribute in decision making process. The short-term spectral envelope features of the cumulative acoustic signals are extracted using Mel-Frequency Cepstral Coefficients (MFCC) and Adaptive Neuro-Fuzzy Classifier (ANFC) is used to model seven traffic density states. Simple point method and AHP has been used for calculation of weights of decision parameters. Numerical results show that WPM, AHP and TOPSIS provide similar performance.