• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.4
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• pp.131-140
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• 1998

The objective of this study is to propose a new procedure to synthesize the multi-experts priorities in AHP. If multi-experts with different expertise are involved in a AHP decision, we need some way to aggregate their opinions. AHP model used to do numerical aggregation by taking only the geometric mean or the weighting geometric mean in past. To aggregate the multi-experts priorities, In this paper. we suggest a way which Decision Maker can exclude outlier matrix from group using the concept of the Compatibility and we Introduce Delphi method to use Compatibility in AHP. A numerical example is shown to illustrate the procedure.

• Korean Management Science Review
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• v.25 no.2
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• pp.1-12
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• 2008

In the ultimatum game two players have to divide a certain amount of money between them. One player is the allocator and proposes a division of the money. The other is the recipient and can either accept or reject the proposed division. If the recipient accepts, the money is divided as proposed. If the recipient rejects, however, both players receive nothing. Purchase decisions could be classified on two basic factors (or dimensions) : involvement and think/feel in the FCB grid model. In this study we studied the influences of the two factors in purchase decisions on the choice of strategy (or propensity to fairness) in the ultimatum game. The empirical study showed that a decision maker chooses rational strategy more frequently when he (or she) is thinkful (or cognitive) in high involvement level.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.3
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• pp.65-77
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• 1993

It is not to observe that a decision-maker frequently changes his choice strategy in the repetitive gamble choice situation. This change in risk preference attitude, however, is not well explained with the existing gamble choice models, such as Bell's disappointment-elation model which is an interesting extension of the classical MEU model. This paper shows that this change in risk preference attitude should be interpreted as a systematic transition of "d" and "e", the disappointment and elation constants of Bell's model repectively. A laboratory experiment is also performed to identify the factors which greatly affect the decision-makers' risk preference attitude change. The number of consecutive successes/failures and the amount of remaining capital found to be statistically significant factors.significant factors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1992.04b
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• pp.282-292
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• 1992

It is not rare to observe that a decision-maker frequently changes his choice strategy in the repetitive gamble choice situation. This change in risk preference attitude, however, is not well explained with the existing gamble choice models, such as Bell's disappointment-elation model which is an interesting extension of the classical MEU model. The paper shows that this change in risk preference attitude should be interpreted as a systematic transition of "d" and "e", the disappointment and elation constants of Bell's model. A laboratory experiment is also performed to identify the factors which greatly affect the decision-makers' risk preference attitude change. The number of consecutive successes/failures and the amount of remaining capital found to be statistically significant factors.significant factors.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.1
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• pp.39-54
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• 1997

This paper presents four process models for machining processes : 1) an economical mathematical model of machining process, 2) a prediction model for surface roughness, 3) a decision model for fuzzy cutting conditions, and 4) a judgment model of machinability with automatic selection of cutting conditions. Each model was developed the economic machining, and these models were applied to theories widely studied in industrial engineering which are nonlinear programming, computer simulation, fuzzy theory, and neural networks. The results of this paper emphasize the human oriented domain of a nonlinear programming problem. From a viewpoint of the decision maker, fuzzy nonlinear programming modeling seems to be apparently more flexible, more acceptable, and more reliable for uncertain, ill-defined, and vague problem situations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.42-48
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• 1990

Increasing concerns about model management system lead to studies of user friendliness and model executions. This paper presents model as object's method based on the Object-Oriented Concepts which makes it possible to represent model's operation and enables general decision makers to identify and select more appropriate models. This capability reduces the semantic gap between decision maker and model builder. This view is also able to execute models by way of automatic Ada code generation and specific LP formulation for LINDO. A prototype system is implemented in Pascal.

• The Journal of Fisheries Business Administration
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• v.18 no.2
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• pp.53-67
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• 1987

In the fish industry, the perishabiliy of raw material, saeasonality of catch and diatance between production and consumption combine to cause physical distribution to be a difficult decision problem. In fishery physical distribution, the choice of appropriate landing port is a major problem. This paper deals with transshipment model to determine landing port as intermediate transfer point and the market to which fish should be sent. Transshipment model is useful to determine intermediate transfer point and can be reformulated as LP model. So this study developes transshipment model for korea large trawler ana analized the model output. It can be expended to a realistic problem in order to provide information to port planner and decision maker on the trade-offs between the cost and efficiency of fishery transportation.

• Journal of the military operations research society of Korea
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• v.28 no.2
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• pp.34-55
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• 2002

This paper deals with the multiple attribute decision making problem when a decision maker incompletely articulates his/her preferences about the attribute weight and alternative value. Furthermore, we consider the attribute tree which is structured hierarchically. Techniques for establishing dominance with linear partial information are proposed in a hierarchically structured attribute tree. The linear additive value function under certainty is used in the model. The incompletely specified information constructs a feasible region of linear constraints and therefore the pairwise dominance relationship between alternatives leads to intractable non-linear programming. Hence, we propose solution techniques to handle this difficulty. Also, to handle the tree structure, we break down the attribute tree into sub-trees. Due to there cursive structure of the solution technique, the optimization results from sub-trees can be utilized in computing the value interval on the topmost attribute. The value intervals computed by the proposed solution techniques can be used to establishing the pairwise dominance relation between alternatives. In this paper, pairwise dominance relation will be represented as strict dominance and weak dominance, which ware already defined in earlier researches.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.12 no.19
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• pp.67-72
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• 1989

This paper concerns with the decision maker has the job of forecasting capital investments and operating expenses to aid the decision making in choosing and evaluating present annual and future alternatives. The cost estimating function eventually analysis, evaluates and choose the alternatives. And also, the marginal analysis performed originally from a preliminary design of some sort, and eventually plans are made to investigate investment possibilities. This paper provide the discounted net cash flows and the present, annual and future worth methods. In despite of any choice for an analytical methods, there remains the problems of predicting and assessments certain future events. Therefore, these models dealing with the optimal plant sizing, equipments replacement, and lease or buy will be discussed.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.05b
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• pp.237-243
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• 1997

The ultimate object of our study is to minimize the release of radioactive material into the environment and to maximize the treatable amount of the generated wastes. In planning the practical operation of the system, however, the operating cost, Process economics and technical flexibility must also be considered. For dealing with these multiple criteria decision making Problems, we used a foal programming which is a kind of multi-objective linear programming. This method requires the decision maker to set goals for each objective that one wishes to attain.