2020 International Conference on Decision Aid Sciences and Application (DASA)最新文献

Towards the assessment of the efficiency and sustainability of energy-based Investment projects 对能源投资项目的效率和可持续性进行评估

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317155

Joaquín Alencastre Cordi, D. Rossit, Miguel Ajís, Laura Biondo

引用次数: 0

Improving the Performance of Multinomial Logistic Regression in Vowel Recognition by Determining Best Regression Coefficients 通过确定最佳回归系数提高多项逻辑回归在元音识别中的性能

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317106

S. Yusof, A. F. Atanda, H. Husni

引用次数: 0

Decision Making Based on Machine Learning Algorithm for Identifying Failure Rates in the Oil Transportation Pipeline 基于机器学习算法的输油管道故障率识别决策

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317180

E. Priyanka, S. Thangavel

引用次数: 14

Traffic-Lights-Based Guidance System in Lebanon using Network Optimization 基于网络优化的黎巴嫩交通灯引导系统

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317170

Elie Khoderchah, Ibrahim Jazzar, S. El-Zahab, N. Semaan, A. Al-Sakkaf

{"title":"Traffic-Lights-Based Guidance System in Lebanon using Network Optimization","authors":"Elie Khoderchah, Ibrahim Jazzar, S. El-Zahab, N. Semaan, A. Al-Sakkaf","doi":"10.1109/DASA51403.2020.9317170","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317170","url":null,"abstract":"Every country in the world faces major problems regarding civil issues. In Lebanon, one of the main problems the small country faces is related to road or traffic congestions. First of all, the lack of infrastructure is a major concern which directly impacts the routes people use daily. Second, the absence of 24-hour electricity is another direct factor impacting the safety and state of the main roads. Third, the entire country lacks proper funding to restore or even improve public transportation which could lead to a decrease in overall car usage. Finally, 80% of the roads present nowadays lack satellite coordination coding, meaning that the use of a GPS such as “Google Maps” is not always accurate nor reliable. All and all, the transportation sector needs to solve many problems, therefore, this project will provide a solution to one of the main problems which are the poor lighting on the streets and the tracking system. The main reason for providing a solution to this problem is the alarming number of car crashes due to dark and unsafe roads which lead to the death of many Lebanese citizens. Not only that, but dark roads also have an indirect threat to drivers at night by forcing opposite lanes of the highway to be filled with cars having their high beam headlights on which could cause a blurry vision for the opposing driver and in extreme cases causing a crash. This project will provide an automatic street lighting system which charges during the day and lights the streets at night whenever sensors detect the presence of a car and also guides cars on many roads where traditional GPS tracking systems fail.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125884645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating environmental quality in Tunisia using Fuzzy CODAS SORT method 用模糊CODAS SORT法评价突尼斯的环境质量

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317167

Abir Ouhibi, H. Frikha

{"title":"Evaluating environmental quality in Tunisia using Fuzzy CODAS SORT method","authors":"Abir Ouhibi, H. Frikha","doi":"10.1109/DASA51403.2020.9317167","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317167","url":null,"abstract":"COmbinative Distance-based Assessment (CODAS) method, which is relatively a new MCDM technique, aims to select the alternative having the largest Euclidean and Taxicab (Hamming) distances to the negative-ideal point. CODAS-Sort, a recently introduced sorting variant, uses crisp class-assignment of alternatives. This can sometimes be misleading, especially for alternatives near the border of two classes. This paper aims at making the class assignment process in CODAS-Sort more flexible by using fuzzy sets theory, it can facilitates, soft transitions between classes and provide additional information about the membership of alternatives in each class that can be used to fine-tune actions beyond the crisp sorting process. This essentially complements the ordinal information of its crisp variant with cardinal information as the degree of membership of an alternative to each class. We use linguistic variables and trapezoidal fuzzy numbers to extend the CODAS method. The applicability of the proposed approach is illustrated in a case study that regards the classification of Tunisian towns according to their quality of environment.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125303903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Optimal engine technology mix in a low carbon economy 低碳经济中的最佳发动机技术组合

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317094

Florian Kellner, Bernhard Lienland, Sebastian Utz

{"title":"Optimal engine technology mix in a low carbon economy","authors":"Florian Kellner, Bernhard Lienland, Sebastian Utz","doi":"10.1109/DASA51403.2020.9317094","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317094","url":null,"abstract":"Environmental regulations force automotive companies to modify the powertrain technology portfolio offered to the customer to comply with greenhouse gas (GHG) emission targets. Automotive companies, in turn, are faced with the decision of finding the right powertrain technology portfolio because the selection of a particular technology portfolio affects different company targets at the same time. What makes this decision even more interesting is the fact that future market shares of the different technologies are uncertain. With its numerous objectives, this challenge requires multi-criteria decision-making techniques to identify the optimal powertrain technology portfolio. The objective of this research is to present a new decision support approach for assembling optimal powertrain technology portfolios while making decision-makers aware of the trade-offs between the achievable market share, the market share risk, and the GHG emissions generated by the selected vehicle fleet. The proposed approach combines ‘a posteriori’ decision-making, multi-objective optimization, and the Markowitz portfolio theory. In an application case, the outlooks of selected market studies are fed into the proposed decision support system. The result is a visualization and analysis of the current real-world decision-making problem faced by many automotive companies. Interesting findings of this research include that for the assumed GHG restrictions in place in 2030, there exists no optimal powertrain technology portfolio that is not composed of at least 20% of electric vehicles.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125576429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IoT Driven Resiliency with Artificial Intelligence, Machine Learning and Analytics for Digital Transformation 物联网驱动的弹性与人工智能，机器学习和数字化转型分析

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317177

Sumera Ahmed, S. Miskon

引用次数: 0

The Areas and Requirements of Competitiveness Advantage in Jordanian Universities 约旦大学竞争优势的领域与要求

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317146

A. Tannous, A. A. Harahsheh

{"title":"The Areas and Requirements of Competitiveness Advantage in Jordanian Universities","authors":"A. Tannous, A. A. Harahsheh","doi":"10.1109/DASA51403.2020.9317146","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317146","url":null,"abstract":"The present study aimed to explore the areas, which Jordanian universities should invest in to achieve a competitive advantage. It aimed to identify the requirements of achieving a competitive advantage by Jordanian universities based on the strategic plans of these universities. A qualitative approach was adopted. Interviews were conducted with 10 mangers of the top management level in private and public universities in Jordan. The researchers found that (research, innovation, finance, academic reputation, student attraction, and technology) are the most prominent areas that must be invested in to achieve a competitive advantage. The requirements of achieving competitiveness advantage include: offering programs of modern majors. They include: e-curricula, providing e-learning survives, supporting scientific research, developing the infrastructure, and attracting highly qualified professionals. They include: enjoying financial independence, achieving financial sustainability, and getting high rank on global universities ranking. Meeting such requirements shall enable Jordanian higher education institutions to achieve a competitive advantage. The present study is beneficial for decision makers and investors in the Jordanian higher education institutions. It enables those decision makers and investors to provide more attention to the aforementioned areas and requirements in order to achieve a competitive advantage. Hence, it contributes to developing national economy.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114284638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a Collaborative Decision-Making Framework to Improve the Patients' Service Quality in the Intensive Care Unit 开发协作决策框架以提高重症监护室患者服务质量

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317286

G. Sivakumar, Eman Almehdawe, G. Kabir

{"title":"Development of a Collaborative Decision-Making Framework to Improve the Patients' Service Quality in the Intensive Care Unit","authors":"G. Sivakumar, Eman Almehdawe, G. Kabir","doi":"10.1109/DASA51403.2020.9317286","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317286","url":null,"abstract":"Healthcare is one of the biggest and complex service sectors, where the decision needs to be taken quickly, accurately and effectively. Especially service improvement decisions in Intensive Care Units (ICU) which are considered to be a predominant factor. In this study, a collaborative decision-making framework is developed to improve the Patients' Service Quality in the ICU including multiple stake-holders. The key criteria, alternatives that can advance the service quality in the ICU are identified from in-depth literature analysis. In this study, the best-worst method (BWM) is integrated with Multi-Actor Multi-Criteria Analysis (MAMCA) method to capture the stake-holder's opinion. This integrated framework allows stakeholder groups to participate in the decision-making process and to select an effective strategy to improve the patients' service quality. The result shows that hiring part-time physicians and medical staff, and hiring full-time physician and medical staff are the best solutions to improve the service quality in ICU based on physician and patient stake-holders, respectively.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122129847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Proposed Lean Distribution System for Solar Power Plants Using Mathematical Modeling and Simulation Technique 基于数学建模与仿真技术的太阳能电站精益配电系统

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317257

Mohsen Momenitabar, Z. Ebrahimi, S. Hosseini, M. Arani

引用次数: 4