• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.15-40
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• 1994

We designed a knowledge-based decision support system for structuring semi-or unstructured problems. Problem structuring involves extraction of the relevant factors from the identified problem, and model construction that represents the relationships among those factors. In this research, we employed a directed graph called Influence Deiagram as a tool for problem structuring. In particular, our proposed system is designed as a shell. Therefore, a decision maker can change the content of the knowledge base to suit his/her own interested domain.

• IE interfaces
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• v.2 no.1
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• pp.59-68
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• 1989

The determination of the optimal depreciation as constrained by the tax law is very complicated computation which is laborious and time-comsurning process. The objective of this research effort is to develop a Decision Support System for Depreciation(DSSD) that can be used by a decision maker to analyze alternative depreciation strategies and to select that strategy which will be most beneficial to the firm from a tax and net profit standpoint.

• 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 Operations Research and Management Science Society
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• v.18 no.2
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• pp.45-55
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• 1993

In multiattribute decision making a decision maker (DM) can choose the best alternative if his/her multiattribute utility function and the joint probability distribution of outcomes are exactly known. This paper develops multiattribute stochastic-statistical dominance rules which can be applied to the situation when neither of them is known exactly, that is, when the DM cannot calculate the expected utility for each alternative. First, the notion of relative risk aversion is used dominance rules are developed to screen out dominated alternatives so that hi/she choose the best one among the remaining nondominated alternatives.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.642-652
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• 2007

Many contracting firms and project managers in the construction industry have started to utilize multi objective optimization methods to handle multiple conflicting goals for completing the project within the stipulated time and budget with required quality and safety. These optimization methods have increased the pressure on decision makers to search for an optimal resources utilization plan that optimizes simultaneously the total project cost, completion time, and crashing cost by considering indirect cost, contractual penalty cost etc., practically charging them in terms of direct cost of the project which is fuzzy in nature. This paper presents a multiple fuzzy goal programming model (MFGP) that supports decision makers in performing the challenging task. The model incorporates the fuzziness which stems from the imprecise aspiration levels attained by the decision maker to these objectives that are quantified through fuzzy linear membership function. The membership values of these objectives are then maximized which forms the fuzzy decision. The problem is solved using LINGO 8 optimization solver and the best compromise solution is identified. Comparison between solutions of MFGP, fuzzy multi objective linear programming (FMOLP) and multiple goal programming (MGP) are also presented. Additionally, an interactive decision making process is developed to enable the decision maker to interact with the system in modifying the fuzzy data and model parameters until a satisfactory solution is obtained. A case study is considered to demonstrate the feasibility of the proposed model for optimization of project network parameters in the construction industry.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2436-2443
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• 2010

The present study aims at investigating conflict-raising factors generable for or during a familial travel in our country, with an outlook that understanding of such conflict raisers in an analytic manner be utilized as the basic data for research on travel behaviors. More specifically, key focus in this study was made on the aspect of tourism science, to wit, how sort of conflict inducers existent between a decision maker of a family and its constituents during outdoor travel of that family vary with familial life-cycle in terms of the tourist behavior theory. Such research attempts are likely, firstly, to offer some clues to invigorate inter-communicability among familial stakeholders in determining the travel intention. Secondly, such attempts also expectedly provide better trustability among family members affordable from converged opinions by familial stakeholders. Thirdly, the predictive recognition of factors inducing familial conflicts in a detailed manner is deemed to lead to reduced trial and error in determining decisions among family members.

• Journal of Korean Academy of Nursing
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• v.39 no.2
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• pp.177-185
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• 2009

Purpose: The purposes of this study were to examine the relationships among activities of daily living, self-efficiency, nursing home care quality and nursing home adaptation, and to identify the influencing factors of nursing home adaptation in nursing home residents. Methods: The study employed a descriptive correlational design. The data were collected from 148 older adults without dementia by interview from six nursing homes in three cities from February 1, 2008 to February 28, 2008. Results: Levels of nursing home adaptation in older adult residents were different by type of decision maker of nursing home admission, reason of nursing home admission, type of payment and length of nursing home stay. The nursing home adaptation was significantly correlated with self-efficiency and nursing home care quality. The strongest predictor of nursing home adaptation was type of decision maker of nursing home admission followed by the self-efficiency. Conclusion: The study suggested that during the decision making period of nursing home admission, older adults should have enough time and careful considerations of their families to decide by themselves in positive ways. Nursing home staff should be able to identify reasons of nursing home admission and demands or expectations of older adults and their families.

• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.205-218
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• 2006

Multi-criteria decision making is deducing the relative importance in the criterion of decision making and each alternative which is able to making a variety of choices measures the preferred degree in the series of town ranking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fundamental problem decision maker solve for multi-criteria decision making is evaluating a set of activities which an considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we use the compensatory models for the optimal decision making. For the purpose of optimal decision making, the data of five different car models are used in Europe.

• Proceedings of the Safety Management and Science Conference
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• 2006.04a
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• pp.123-131
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• 2006

Multi-criteria decision making is deducing the relative importance in the criterion of decision making and each alternative which is able to making a variety of choices measures the preferred degree in the series of low-raking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fundamental problem decision maker solve for multi-criteria decision making is evaluating a set of activities which are considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we are the eigenvector methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

• The Korean Society of Law and Medicine
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• v.20 no.2
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• pp.43-82
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• 2019

In Korea surrogate medical decision makings happen without legal grounds. The purpose of this article is to research the issues in preparing policies for decision-making on behalf of unrepresented patients. As aspects of comparative law, there are two approaches. One of them is to regulate default surrogate list. If no agent or guardian has been appointed, some legislatures provide that members of patient's family who is reasonably available, in descending order of priority of not, may act as surrogate: (1) the spouse, unless legally separated; (2) an adult child; (3) a parent; or (4) an adult brother or sister. If none of them is eligible to act as surrogate, some legislatures allow close friends to make health-care decisions for adult individuals who lack capacity. On the other hand there are other legislatures which provide no surrogate decision maker list but oblige the responsible authority to determine with advice of family members or friends of the patient. In the end the first approach can not guarantee that the surrogate decision maker like family members or friends will determine in the best interest of the patient.