• 산업공학
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• 제6권2호
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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.

• Journal of Information Processing Systems
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• 제14권5호
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• pp.1215-1224
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• 2018

Interval-valued neutrosophic hesitant fuzzy set (IVNHFS) is an extension of neutrosophic set (NS) and hesitant fuzzy set (HFS), each element of which has truth membership hesitant function, indeterminacy membership hesitant function and falsity membership hesitant function and the values of these functions lie in several possible closed intervals in the real unit interval [0,1]. In contrast with NS and HFS, IVNHFS can be more flexibly used to deal with uncertain, incomplete, indeterminate, inconsistent and hesitant information. In this study, I propose the novel correlation coefficient of IVNHFSs and my paper discusses its properties. Then, based on the novel correlation coefficient, I develop an approach to deal with multi-attribute decision-making problems within the framework of IVNHFS. In the end, a practical example is used to show that the approach is reasonable and effective in dealing with decision-making problems.

• 한국주거학회논문집
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• 제12권2호
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• pp.45-54
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• 2001

The purpose of this research was to analyze the correlation between the Apartment Purchase Price Decision Factor and Amenity decision Factor with cognition of the Consumer. The result are as follows; 1. The correlation coefficient between the Apartment Price Decision Factor and Amenity decision Factor with cognition of the Consumer was 0.587. 2. The ranking of the purchase price factor which it prefers were analyzed orientation > sunlight > view > the rising price expectation > natural environment etc. And the ranking of the amenity were analyzed orientation > natural environment > view > sunlight > noise etc. 3. Consumer group was classified the location, sex, year of ages and unit scale. The rank correlation coefficient of (the significant was below 0.05) sex was 0.617~0.644, year of ages was 0.62~0.771 and unit scale was 0.762~0.852. This research proved the fact that the amenity correlated with the apartment purchase price decision factor, so amenity contained an economic value. And this result will be used in decision-making-process of apartment construction.

• 대한기계학회논문집B
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• 제21권11호
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• pp.1449-1457
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• 1997

Since a non-nulling method of five-hole probes is valid only when the flow angle is within the calibrated angle range, it can not be used in a complex flow field. Full angle range pressure coefficient maps show that widely used nulling methods do not guarantee correct alignment of the probe with the flow direction in the unknown complex flow field. Zone decision method and features of zone map were studied by investigating the full angle range pressure coefficient maps. A reliable and efficient new nulling algorithm using zone decision by pressure ordering is proposed and verified. Since the zone decision method by pressure ordering can decide whether the flow is within the calibration angle range or not, it is useful in wide angle nonnulling methods, too.

• 한국항만학회지
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• 제7권1호
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• pp.5-12
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• 1993

In complex decision making such as ill-defined system, one of the main problem is how to treat ambiguous aspect of the decision making. According to the complexity and ambiguity of the objective systems, many types of evaluation attributes are necessary for the rational decision and the relationship among the attributes become complex and fuzzy. Fuzzy integral is very effective to evalute the complex system with interaction between attributes but how to save the evaluation efforts in the decision making process of grading the membership of the objects or alternative is the problem to be tackled. Because the more object there are to evaluate, the number of decisions to made increase exponentially. Therefore, this paper aimes to propose a new evaluation algorithm based on fuzzy integral which can save the evaluator's efforts in decision making process. The proposed algorithm is constructed as follows : First, compose the fuzzy measure by introducing AHP(Analytical Hierachy Process) & mutual interaction coefficient. Second, generate fuzzy measure value of monotone family set for calculating the fuzzy integral. The effectiveness of the proposed algorithm is investigated through the example and sensitivity of interaction coefficient is illustrated.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2001년도 Proceeding of KIN-CIN Joint Symposium 2001 on Satellite Navigation/AIS, lntelligence , Computer Based Marine Simulation System and VDR
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• pp.81-87
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• 2001

In this article, we have done some analysis about the collision-avoidance specialty of “pressing complexion” and “pressing danger”in the meet process of two boats, and offered a mathematic model of differential coefficient countermeasure decision for collision-avoidance, which adapt to the right complexion. The basal idea is, in the right condition whatever do the coming boat do, and our boat will always adept dynamic, continuous and the best countermeasure. When both the controlling capabilities of two boats have advantage and inferior position, we can working-out with the qualitative differential coefficient countermeasure.

• 정보처리학회논문지B
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• 제17B권1호
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• pp.9-14
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• 2010

본 논문에서는 다중 센서를 선택하는 냄새 인식 시스템에서 최적의 센서 조합을 선택하기 위하여 통계적 분석 기반의 센서 사이의 상관계수를 이용하는 방법을 제안한다. 제안하는 센서 결정 방법은 금속 산화물 반도체(Metal Oxide Semiconductor : MOS) 센서 어레이를 사용하여 냄새 데이터를 획득한 후 획득한 냄새의 상관도를 기반으로 적합한 센서를 결정한다. 우선 측정 대상이 유사한 MOS 가스센서 중 응답의 크기가 작고 변화가 낮은 센서를 제외하여 총 16개의 센서를 선별한다. 입력되는 냄새로부터 16개의 센서를 사용하여 냄새 DB를 구축하고 각 센서별 상관계수를 계산한 후 상관도가 낮은 센서를 선택한다. 선택된 센서는 유사한 응답 특성을 갖는 센서를 제거한 것이며 제안한 방법으로 최적의 센서를 결정 할 수 있다. 제안된 센서 결정 방법의 성능 평가를 위해 꽃 냄새 인식 시스템에 적용하였다. 상관계수를 이용한 꽃 냄새 인식 시스템에 제안한 방법을 적용한 결과로 16개의 센서를 사용할 경우 95.67%의 인식률을 보이는 반면 제안한 센서 결정 방법을 적용한 꽃 냄새 인식 시스템은 6개를 사용한 경우 94.67%, 8개의 센서를 사용한 경우 96%의 인식률을 도출하는 것을 확인하였다.

• 한국간호교육학회지
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• 제22권2호
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• pp.210-219
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• 2016

Purpose: The purpose of this study was to contribute to career counseling and career guidance for nursing students by examining students' career decision-making styles and career decision levels and the relationship between self-efficacy and career decision-making styles and career decision levels. Methods: A descriptive survey design was used and data were collected using questionnaires from a sample of 469 nursing students. The data were analyzed using frequencies means, Kruskal-Wallis test, Pearson correlation coefficient, and multiple regression analysis with SPSS 21.0. Results: Career decision level had a significant correlation with self-efficacy and decision-making styles. Self-efficacy (${\beta}=.143$, p<.001), type of decision-making styles rational type (${\beta}=.180$, p<.001), intuitive type (${\beta}=.137$, p<.001), dependent type (${\beta}=-.236$, p<.001) and sex (${\beta}=-.086$, p=.023), school grades (${\beta}=.086$, p=.033), and satisfaction of nursing major (${\beta}=.209$, p<.001) were significant predictors of career decision level. Conclusion: It is necessary to develop effective career support programs according to type of decision-making styles, sex, school grades, motivation to improve nursing students' self-efficacy and satisfaction in the nursing major.

• 디지털융복합연구
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• 제19권2호
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• pp.275-288
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• 2021

본 연구는 간호사를 대상으로 임상적 의사결정능력에 미치는 영향을 파악하고자 시도되었다. G도 병원에 근무하는 156명을 자료수집 하였다. IBM SPSS WIN/25.0을 이용하여 t-test, ANOVA, Pearson correlation coefficient, Multiple regression을 사용하였다. 대상자의 임상적 의사결정능력에 가장 영향을 미치는 요인은 간호연구 '매우관심', 비판적 사고성향, '석/박사', 총 임상경력 '20년1개월 이상', 도덕적 행동, 간호연구 '중요하다', '미혼', 총 임상경력 '5년1개월-10년', 부서근무경력 '3년1개월-5년' 순이었다. 설명력은 51.4%이었다. 간호연구에 관심과 중요성, 도덕적 행동과 학력, 경력이 임상적 의사결정능력에 영향을 미치는 변수임을 확인하였다는 점에서 의의가 있었다. 본 연구결과는 프로그램 개발 기초자료로 활용될 수 있을 것이다. 또한, 윤리적 딜레마 상황에서 임상적 의사결정능력을 높일 수 있는 교육 프로그램을 개발하여 적용하고 그 효과를 검증할 것을 제언한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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• pp.123-126
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• 2000

In this paper, we propose new watermarking technique using weighting factor decision method in the watermark embedding step and adaptive threshold decision method in the watermark extracting step. In our method, we are determined weighting factor in simple by calculating distance between pixel coefficient and neighborhood pixel coefficients and threshold is adaptively determined by searching the minimized extract error value using histogram of difference value.