• Title/Summary/Keyword: Decision Function

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Stochastic Dominance and Distributional Inequality (추계적 우세법칙과 분포의 비상등성)

  • Lee, Dae-Joo
    • IE interfaces
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    • v.6 no.2
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    • pp.151-169
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    • 1993
  • In this research, we proposed "coefficient of inequality" as a measure of distributional inequality for an alternative, which is defined as the area between the diagonal line from 0 to 1 and the Lorenz curve of the given alternative. Next, we showed theoretical relationship between stochastic dominance and the coefficient of inequality as a means to determine the preferred alternative when decision is made with incomplete information about decision maker's utility function. Then, two experiments were performed to test subject‘s attitude toward risk. The results of the experiments support the idea that when a decision maker is risk averse or risk prone, he/she can use the coefficient of inequality as a decision rule to choose the preferred alternative instead of using stochastic dominance. Thus, according to decision maker’s attitude toward risk, the decision rule proposed here can be used as a valuable aid in decision making under uncertainty with incomplete information.

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Determination of Multiplicative Utility Function Based on the Pair-wise Comparisons (쌍대비교에 기반한 승법적 효용함수의 결정)

  • Kim, Kyung-Mo
    • Journal of Korean Society for Quality Management
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    • v.33 no.1
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    • pp.64-72
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    • 2005
  • The ever increasing demand for enhanced competitiveness of engineered products requires "designing-in-quality" strategies that can effectively and efficiently incorporate concepts of uncertainty and quality into design. Multi-attribute utility function is commonly used to represent the decision-maker's preference on multiple design attributes under conditions of uncertainty and risk. One of the major issues in implementing this approach concerns the generation of appropriate utility function, especially in a complex engineering design environment. Typically, the decision maker's preference is revealed through lottery questions rather than being structured on the deductive reasoning to reflect the nonlinear tradeoffs among the attributes. The use of such intuitive procedures can lead to inexact preference information that may result in inaccuracy and rank reversal problems. This paper presents an alternative procedure based on the pair-wise comparisons between design alternatives towards a consistent preference presentation in assessing multiplicative utility function. The effectiveness of the overall procedures is tested with the aid of an injection-molding process design for a capacitor can and the results are discussed.

An Analytic Hierarchy Process based Decision Support System for Selecting Foundation Practice (계층분석법 기반의 기초공법 선정 의사결정지원시스템)

  • Lee, Chung-Hyun;Jeong, Keun-Chae
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.1
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    • pp.129-139
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    • 2012
  • It is one of the most important decision making problems to select the adequate foundation practice for the downtown construction project. However the foundation practice has not been selected systematically yet by considering various construction field conditions in many projects. The foundation practice is often informally selected on the basis of only past experiences and skilled engineer's opinion. For making the selection process systematically, in this study, we propose a decision support system (DSS) for selecting foundation practices based on the Analytic Hierarchy Process (AHP) and the Preference Function (PF). In the proposed DSS, the AHP is used for making the selection process more reasonable and the PF is used for considering the decision maker's preference. To validate the proposed DSS, we apply the proposed DSS to the pre-performed construction projects. The application results show that the proposed DSS gives the same foundation practices with the implemented foundation practices that the skilled foundation engineers select after carefully analyzing construction field conditions. The proposed DSS can be used as a useful tool for making decisions to select the foundation practice in the construction fields.

A design of binary decision tree using genetic algorithms and its applications (유전 알고리즘을 이용한 이진 결정 트리의 설계와 응용)

  • 정순원;박귀태
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.6
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    • pp.102-110
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    • 1996
  • A new design scheme of a binary decision tree is proposed. In this scheme a binary decision tree is constructed by using genetic algorithm and FCM algorithm. At each node optimal or near-optimal feature subset is selected which optimizes fitness function in genetic algorithm. The fitness function is inversely proportional to classification error, balance between cluster, number of feature used. The binary strings in genetic algorithm determine the feature subset and classification results - error, balance - form fuzzy partition matrix affect reproduction of next genratin. The proposed design scheme is applied to the tire tread patterns and handwriteen alphabetic characters. Experimental results show the usefulness of the proposed scheme.

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UNBIASED ADAPTIVE DECISION FEEDBACK EQUALIZATION

  • Shin, Hyun-Chool;Song, Woo-Jin
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.65-68
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    • 2000
  • It is well-known that the decision rule in the mini-mum mean-squares-error decision feedback equalizer(MMSE-DFE) is biased, and therefore suboptimum with respect to error probability. We present a new family of algorithms that solve the bias problem in the adaptive DFE. A novel constraint, called the constant-norm con-straint, is introduced unifying the quadratic constraint and the monic one. A new cost function based on the constant-norm constraint and Lagrange multiplier is defined. Minimizing the cost function gives birth to a new family of unbiased adaptive DFE. The simula-tion results demonstrate that the proposed method in-deed produce unbiased solution in the presence of noise while keeping very simple both in computation and im-plementation.

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Affective Decision-Making among Preschool Children in Diverse Cultural Contexts

  • Qu, Li;Shan, Gao;Yip, Cindy;Li, Hong;Zelazo, Philip David
    • Child Studies in Asia-Pacific Contexts
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    • v.2 no.2
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    • pp.123-132
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    • 2012
  • The current study examined 3- and 4-year-olds' affective decision-making in a variety of cultural contexts by comparing European Canadian children to Chinese Canadian, Hong Kong Chinese, and mainland Chinese children (N = 245). All children were tested with a delay of gratification task in which children chose between an immediate reward of lower value and a delayed reward of higher value. Results showed that Chinese Canadian and Hong Kong Chinese children chose more delayed rewards than European Canadian children, with mainland Chinese children showing a trend toward more delayed rewards. Across cultures, 4-year-olds chose more delayed rewards than 3-year-olds; and among 4-year-olds, girls made more such choices than boys. The findings are consistent with previous findings that exposure to Chinese culture is associated with better cool executive function, but they also highlight the importance of examining development across diverse cultural contexts.

A Study on the Power Expansion Planning Model using Multi-criteria Decision Making Rule (다기준 의사결정 모형을 이용한 전력수급계획 모형에 관한 연구)

  • Han, Seok-Man;Kim, Bal-Ho H.
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.3
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    • pp.462-466
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    • 2009
  • The power expansion planning is large and capital intensive capacity planning. In the past, the expansion planning was established with the proper supply reliability in order to minimize social cost. However, the planning can't use cost minimizing objective function in the power markets with many market participants. This paper proposed the power expansion planning model using multi-criteria decision rule. This model used multi objective function considering not only cost minimizing but also GENCO's intension. This paper compared proposed model with WASP model in order to verify the result of proposed model.

A Study on the Construction of Multiple-Valued Logic Functions by Edge-Valued Decision Diagram (에지값 결정도(決定圖)에 의한 다치논리함수구성(多値論理函數構成)에 관한 연구(硏究))

  • Han, Sung-Il;Choi, Jai-Sock;Park, Chun-Myoung;Kim, Heung-Soo
    • Journal of IKEEE
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    • v.1 no.1 s.1
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    • pp.111-119
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    • 1997
  • This paper presented a method of extracting algorithm for Edge Multiple-Valued Decision Diagrams(EMVDD), a new data structure, from Binary Decision Diagram(BDD) which is resently used in constructing the digital logic systems based on the graph theory. And we discussed the function minimization method of the n-variables multiple-valued functions. The proposed method has the visible, schematical and regular properties.

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Optimization of Sheet Metal Forming Process by using Decision-Making Theory (의사결정이론을 이용한 박판성형공정의 최적화)

  • Kim, Kyung-Mo;Yin, Jeong-Je
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.2
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    • pp.125-136
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    • 2012
  • Wrinkle and fracture are two major defects frequently found in the sheet metal forming process. In this process there are more than one design attributes to optimize and several uncontrollable factors which cannot be ignored in determining the optimal values of design variables. Therefore, attempts to reduce defects through a traditional optimization technique are often led to failures. In this research, a new design method for reducing the wrinkle and fracture under uncontrollable factors is presented by using decision-making theory. To avoid the psychological difficulties in determining the scaling constants of the multi-attribute utility function by using the ordinary lottery questions, a pair-wise comparison procedure is adapted to avoid this problem. The effectiveness of the proposed method is illustrated through a robust design of sheet metal forming process of a side member of an automotive body.

Decision Maker's Personality Type and Risk Attitude (의사결정자의 성격유형과 위험성향)

  • 강태건;조성구
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.2
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    • pp.1-16
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    • 1996
  • The personality types developed by Gustav Jung are frequently used to identify peopl's decision-making style, especially to determine which functions are dominant ones in the perception and the processing of information. In this paper, the Jungian typology is utilized to investigate if there are any systematic relations between an individual's personality type and her/his attitude toward risk. For this purpose, an experiment was conducted where 99 subjects, mostly students, participated in a computer-simulated horse racing game. Each subject's risk-seeking propensity was measured by the winning chance of the selected horse and the amount of stakes. The results of the experiment show that a decision-maker who is extrovert (E) is attitude and intutive(N) in perception of information is more likely to be risk prone than the introvert(I) and sensing(S) type. Feeling(F) function in information processing seems to induce more risk seeking attitude than thinking (T) function, but the statistical significance could not be found from the data, for this statement.

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