scholarly journals Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

2013 ◽  
Vol 25 (6) ◽  
pp. 555-564 ◽  
Author(s):  
Tanja Brcko ◽  
Jelenko švetak
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Collision Avoidance ◽  
Support System ◽  
Human Error ◽  
Human Factor ◽  
Fuzzy Reasoning ◽  
Scientific Discipline ◽  
The World ◽  
Collision Avoidance System

Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.

scholarly journals Decision Support System for Determining Critical Land in Klaten Regency

2020 ◽  
Vol 202 ◽  
pp. 06003
Author(s):  
Yudi Eko Windarto ◽  
Nurhadi Bashit ◽  
Novia Sari Ristianti ◽  
Desyta Ulfiana ◽  
Devina Trisnawati
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Land Area ◽  
Web Based ◽  
Land Quality ◽  
Central Java ◽  
The World ◽  
Order Preference ◽  
Hierarchy Process

Critical land has become a problem in the world. Critical land is very detrimental to the health of the land. Several factors cause the land to become critical. One of them is the use of land that is not by the capabilities of the land. If no repairs made, the land will be physically, chemically, and biologically damaged. Klaten Regency is one of the regencies in Central Java Province, which has quite extensive critical land. It is necessary to monitor and improve land quality regularly to avoid critical land problems. Data and information on critical land obtained from Klaten Regency processed into a decision support system. Decision Support System uses a combination of Analytical Hierarchy Process (AHP) and Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) methods. In this research, a Web-based Decision Support System created to determine the critical land area in Klaten Regency. The information system created has an alternative menu and criteria that determine the potential of critical land in Klaten Regency, making it easier for users to obtain information.

Decision support system for collision avoidance of vessels

2014 ◽  
Vol 25 ◽  
pp. 369-378 ◽  
Author(s):  
Ugur Simsir ◽  
Mehmet Fatih Amasyalı ◽  
Mert Bal ◽  
Ugur Bugra Çelebi ◽  
Seniz Ertugrul
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Collision Avoidance ◽  
Support System

scholarly journals A Systematic Review of Clinical Decision Support Systems in Alzheimer’s Disease Domain

2021 ◽  
Vol 17 (08) ◽  
pp. 74
Author(s):  
Sherimon P.C. ◽  
Vinu Sherimon ◽  
Preethii S.P. ◽  
Rahul Nair ◽  
Renchi Mathew
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Decision Support ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Memory Loss ◽  
Clinical Decision ◽  
The World

Dementia is one of the major public health issues faced by the world. Alzheimer’s disease (AD) is the most common form of dementia targeting old age groups around the world. It is a neurodegenerative condition with memory loss as its early symptom. Unfortunately, there is no cure for this disease currently. So various research in the medical and technical fields are being conducted to help people with Alzheimer’s. Many studies focus on early diagnosis of Alzheimer’s disease using clinical decision support system (CDSS) so that the progression of the disease can be slowed down to a great extent. In this context, we have undertaken a research to design and implement an ontology based Clinical decision support system for Alzheimer’s disease in Sultanate of Oman. A semantic knowledgebase (ontology) will be the core component of our Clinical decision support system. The objective of this research paper is two-fold (a) review the medical aspects of Alzheimer’s disease, and (b) review the available clinical decision support system based on ontology, robotics, and mobile applications in Alzheimer domain. Research articles published during 2011- 2020 in PubMed, Google scholar, Elsevier, SpringerLink and IEEE journals were reviewed. We found that there is various clinical decision support system which can aid physicians in suggesting diagnosis, and treatment of Alzheimer’s disease.

scholarly journals A systematic approach for assessment of renewable energy using analytic hierarchy process

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Gerçek Budak ◽  
Xin Chen ◽  
Serdar Celik ◽  
Berk Ozturk
Keyword(s):  
Renewable Energy ◽  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Systematic Approach ◽  
Analytic Hierarchy ◽  
The World ◽  
Hierarchy Process

Abstract Background Cities around the world face a great challenge in establishing a long-term strategy for the development of energy alternatives. Previous research tried to identify renewable energy across many different cities. Because each city has unique characteristics in terms of geographic and environmental conditions, population, economic development, and social and political environment, the most sustainable energy source for one city might be the least sustainable for another. Methods This research develops and implements a systematic approach to assess renewable energy and identify the energy alternatives for a city using the analytic hierarchy process. The methodology integrates experts’ input and data analytics and helps decision-makers form long-term strategies for renewable energy development. Results The decision support system is applied to three cities, Chengdu in China, Eskisehir in Turkey, and Chicago in the United States of America. Results show that improving energy efficiency and development of solar and wind energy are the most preferred energy alternatives whereas nuclear and hydroelectric are the least preferred energy alternatives for these three cities. Conclusions The results of this study are in line with decades of research and development in energy alternatives and show a clear direction for the future development of energy alternatives around the world. There are differences in the rankings of energy alternatives for different cities, indicating that it is necessary to apply the decision support system developed in this study to help form customized energy strategies for cities with unique characteristics.

Fuzzy Driven Decision Support System for Enhanced Employee Performance Appraisal

2021 ◽  
pp. 1353-1366
Author(s):  
Oluwasefunmi ‘Tale Arogundade ◽  
Bolanle Ojokoh ◽  
Mojisola Grace Asogbon ◽  
Oluwarotimi Williams Samuel ◽  
Babatope Sunday Adeniyi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Human Error ◽  
Fuzzy Inference ◽  
Employee Performance ◽  
Computational Technique ◽  
Organizational Goals ◽  
Ogun State

Employee performance appraisal is often considered a core management task in most standard organizations because it could potentially inspire an employee towards the pursuit of organizational goals and objectives. Meanwhile, issues such as delay in appraisal processes, inevitable human error, and emotional status of the appraiser, are common with the traditional appraisal methods. Hence, this research proposes a fuzzy decision-support system based on Henri Fayol's 14 principles of management for the appraisal of employees' performance. A questionnaire consisting of 44 structured questions was designed based on these principles and administered to the employees of Babcock University, Ilisan-Remo, Ogun State, Nigeria. Fuzzy inference system that incorporates Mamdani computational technique was built based on the feedback extracted from the questionnaires, and used for appraising the employee performance. Experimental results show that the proposed system could predict the appraisal status of an employee with 75% accuracy in comparison to the conventional appraisal method.

Application of Multi-Dimensional Analysis Technology in Telecom Industry

2011 ◽  
Vol 219-220 ◽  
pp. 643-647
Author(s):  
Li Yong Chen ◽  
Xiu Ye Yin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Dimensional Analysis ◽  
Support System ◽  
Rapid Development ◽  
Vital Role ◽  
The World ◽  
Telecom Industry ◽  
The Right ◽  
Leading Enterprises

With the rapid development of China's telecom industry, the management of domestic enterprises are constantly changing. Operate method was closed to internationalization constantly. In this process, the technology of OLAP plays a very vital role for the development of enterprises. China's telecom industry should depend on the technology of OLAP to get an efficient decision support system to make an accurate in time efficient decision if they want to survive in the world keen competition, and then leading enterprises moving in the right direction. This paper introduced Multi-dimensional analysis technology, Illustrates the application of drilling and rotation Combined with concrete examples. Hope to provide some help for the development of enterprises, promote the rapid development of China's telecom industry through this paper.

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