• Journal of applied mathematics & informatics
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• 제42권2호
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• pp.257-281
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• 2024

In real life, a decision-maker can assign multiple values for pairwise comparison with a certain confidence level. Studies incorporating multi-choice parameters in multi-criteria decision-making methods are lacking in the literature. So, In this work, an extension of the Best-Worst Method (BWM) with multi-choice pairwise comparisons and multi-choice confidence parameters has been proposed. This work incorporates an extension to the original BWM with multi-choice uncertainty and confidence level. The BWM presumes the Decision-Maker to be fully confident about preference criteria vectors best to others & others to worst. In the proposed work, we consider uncertainty by giving decision-makers freedom to have multiple choices for preference comparison and having a corresponding confidence degree for each choice. This adds one more parameter corresponding to the degree of confidence of each choice to the already existing MCDM, i.e. multi-choice BWM and yields acceptable results similar to other studies. Also, the consistency ratio remained low within the acceptable range. Two real-life case studies are presented to validate our study on proposed models.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2022년도 춘계학술대회
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• pp.204-206
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• 2022

The global economy and the air transport business have been affected since the spread of the COVID-19 pandemic. As countries tighten restrictions on international movements, the growing emphasis on air cargo puts pressure on airports to maintain and upgrade their cargo policies, facilities, and operations. Hence, ensuring the competitiveness of cargo airports becomes pivotal for airports survival under the volatile global demand. The study aims to evaluate the importance of the competitiveness factors for cargo airports and identify areas for further improvement. The study applies the Best-Worst Method (BWM) to assess the cargo airports' competitiveness factors: 'Transport Capacity,' 'Airport Operations and Facility Capacity,' 'Economic Growth,' 'Financial Performance,' and 'Airport Brand Value.' The selected airports include Heathrow Airport, Aéroport de Paris-Charles de Gaulle, Hong Kong International Airport, and Incheon International Airport. The results identify 'Transport Capacity' as the most significant competitiveness factor, and Hong Kong International Airport the best performing cargo airport. This research forms a reference framework for evaluating cargo airports' competitive position, which may help identify airports' relative strengths and weaknesses. Moreover, this framework can also serve as a tool facilitating the strategic design of airports that may accommodate both air cargo and passenger demand flexibly under the demand uncertainty.

• 대한한의학회지
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• 제29권5호
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• pp.104-110
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• 2008

Objectives : The purpose of this study is to develop the method of selecting representative pulse wave. Methods : The pulse waves were acquired at the right and the left Guan point(關部) with 1420 people who were apparently healthy. The shape agreement of right and left pulse wave and the floating-sinking ratio were compared with three cases, which were the pulse height based method, the pulse area based method, and the pulse time based method. Results : In the point of the shape accordance, the pulse time based method was the best, and the pulse area based method was the worst. In the point of the floating-sinking ratio, the pulse height based method was the worst, and the pulse time based method was the best. Conclusions : So, the pulse time based method was recommended for selecting the representative pulse wave. This study compared the selection methods of representative pulse using the physiological characteristics of pulse wave. Further studies are required, because the representative pulse wave is the main factor of determining the shape and the floating-sinking characteristic of the pulse wave.

• Nuclear Engineering and Technology
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• 제53권11호
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• pp.3675-3684
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• 2021

Human reliability analysis (HRA) is a proactive approach to model and evaluate human systematic errors, and has been extensively applied in various complicated systems. Dependence assessment among human errors plays a key role in the HRA, which relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are ofthen different types of uncertainty when experts use linguistic labels to evaluate the dependencies between human failure events. In this context, this paper aims to develop a new method based on linguistic hesitant fuzzy sets and the technique for human error rate prediction (THERP) technique to manage the dependence in HRA. This method handles the linguistic assessments given by experts according to the linguistic hesitant fuzzy sets, determines the weights of influential factors by an extended best-worst method, and confirms the degree of dependence between successive actions based on the THERP method. Finally, the effectiveness and practicality of the presented linguistic hesitant fuzzy THERP method are demonstrated through an empirical healthcare dependence analysis.

• 정보과학회 논문지
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• 제44권12호
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• pp.1319-1332
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• 2017

최근 스포츠 중계에 동원되는 카메라 대수가 증가함에 따라 수많은 카메라 화면 중 순간적으로 최고의 화면을 고르는데 어려움이 있다. 지금까지 스포츠 경기를 촬영한 영상들에서 자동으로 최고의 화면을 선택하는 방법들이 연구되어 왔지만 배경이 고정된 영상들만을 고려해 배경이 움직이는 영상들을 고려하는 연구가 필요하다. 본 논문에서는 각 영상 별로 관심선수를 추적하여 획득한 영상 내 관심선수 영역을 대상으로 관심선수의 활동량, 얼굴 가시성, 다른 선수와의 겹침 정도, 이미지 블러 현상 정도를 매 프레임 마다 정량적으로 나타내어 정량화된 값을 기반으로 최고의 화면을 선택한다. 이렇게 선택된 베스트 뷰를 20명의 일반 사람들에게 베스트 뷰와 워스트 뷰를 선택하게 하여 사람들이 선택한 베스트 뷰, 워스트 뷰와 비교한 결과 베스트 뷰와 일치율이 54.5%로 낮았지만 반대로 워스트 뷰와 일치율이 9%로 확실히 사람들이 선호하지 않는 화면은 선택하지 않는 것을 알 수 있었다.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.375-382
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• 2021

The paper introduces a model for evaluating and prioritizing mobile quality attributes and refactoring techniques through the examination of their effectiveness during the mobile application development process. The astonishing evolution of software and hardware has increased the demand for techniques and best practices to overcome the many challenges related to mobile devices, such as those concerning device storage, network bandwidth, and energy consumption. A number of studies have investigated the influence of refactoring, leading to the enhancement of mobile applications and the overcoming of code issues as well as hardware issues. Furthermore, rapid and continuous mobile developments make it necessary for teams to apply effective techniques to produce reliable mobile applications and reduce time to market. Thus, we investigated the influence of various refactoring techniques on mobile applications to understand their effectiveness in terms of quality attributes. First, we extracted the most important mobile refactoring techniques and a set of quality attributes from the literature. Then, mobile application developers from nine mobile application teams were recruited to evaluate and prioritize these quality attributes and refactoring techniques for their projects. A prioritization-based model is examined that integrates the lightweight multi-criteria decision making method, called the best-worst method, with the process of refactoring within mobile applications. The results prove the applicability and suitability of adopting the model for the mobile development process in order to expedite application production while using well-defined procedures to select the best refactoring techniques. Finally, a variety of quality attributes are shown to be influenced by the adoption of various refactoring techniques.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.63-68
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• 2022

Given the competition between different tourist destinations to attract domestic and international tourists it is absolutely vital to examine their website efficacy on specific attributes. This study employs one of the recently developed multi-criteria decision-making method the Best-Worst Method to assess the state government official tourism website across four Indian states known for their tourism potential- Himachal Pradesh, Uttrakhand, Uttar Pradesh and Rajasthan on specific attributes provided by the widely acknowledged WebQual instrument. Information Fit-to-Task and Trust emerged as the most important criterion. Relative advantage and Innovation the least important. The results of the study are easily interpretable and visual. They offer both an individual and comparative analysis of the perceived website efficacy on specific attributes to facilitate tourism stakeholders and website administrators to strategize and make their digital presence effective and competitive.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2023년도 추계학술대회
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• pp.213-214
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• 2023

현대 해운산업에서 성별 다양성은 산업의 경쟁력 및 지속가능성을 높이는 핵심요소로 간주된다. 본 연구는 해운산업에서 성별 다양성을 증대하기 위해 필요한 대안을 식별하고 이를 우선순위로 식별하는 것을 목표로 하였다. 이를 위해 Best-Worst Method를 사용하여 성별 다양성 증대를 위한 다양한 대안들에 대한 우선순위를 정하고, 상대적 중요도를 측정하였다. 본 연구를 통해 도출된 대안들은 해운기업이 성별 다양성을 실제로 실현시키기 위한 구체적인 방안을 제시한다.

• 한국식품조리과학회지
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• 제24권6호
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• pp.763-770
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• 2008

전반적으로 모든 소비자 군에서 카레덮밥을 가장 선호 하였으나 불고기덮밥은 20대 남자 소비자가, 해물덮밥의 경우 30대 여자 소비자가 선호하는 것으로 나타나 소비자 군에 따라 수용도의 차이를 보였다. 특히 곤약잡채와 해물 덮밥에 대한 소비자 평가는 연령에 따라 상이한 것으로 분석되었다. 9점 기호척도와 BWS의 결과가 유사하였으나 BWS의 경우 시료간의 선호도 차이를 더 확연히 나타냈다. 주관식 응답 설문 기법은 정량화하기는 어려우나 구체적인 개선 방안을 제시하기도 하여 의사 결정의 자료로 사용하기 보다는 제품의 개선 시 개선 방향에 대한 참고 자료로 유용할 것이라 판단된다.

• Safety and Health at Work
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• 제13권3호
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• pp.326-335
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• 2022

Background: One of the important actions for enhancing human reliability in any industry is assessing human error probability (HEP). The HEART technique is a robust tool for calculating HEP in various industries. The traditional HEART has some weaknesses due to expert judgment. For these reasons, a hybrid model is presented in this study to integrate HEART with Best-Worst Method. Materials Method: In this study, the blasting process in an iron ore mine was investigated as a case study. The proposed HEART-BWM was used to increase the sensitivity of APOA calculation. Then the HEP was calculated using conventional HEART formula. A consistency ratio was calculated using BWM. Finally, for verification of the HEART-BWM, HEP calculation was done by traditional HEART and HEART-BWM. Results: In the view of determined HEPs, the results showed that the mean of HEP in the blasting of the iron ore process was 2.57E-01. Checking the full blast of all the holes after the blasting sub-task was the most dangerous task due to the highest HEP value, and it was found 9.646E-01. On the other side, obtaining a permit to receive and transport materials was the most reliable task, and the HEP was 8.54E-04. Conclusion: The results showed a good consistency for the proposed technique. Comparing the two techniques confirmed that the BWM makes the traditional HEART faster and more reliable by performing the basic comparisons.