Priority Assessment of Sub-watershed Based on Optimum Number of Parameters Using Fuzzy-AHP Decision Support System in the Environment of RS and GIS

2018 ◽  
Vol 47 (4) ◽  
pp. 603-617 ◽  
Author(s):  
C. D. Mishra ◽  
R. K. Jaiswal ◽  
A. K. Nema ◽  
V. K. Chandola ◽  
Arpit Chouksey
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Ahp ◽  
Optimum Number ◽  
Rs And Gis ◽  
Priority Assessment

scholarly journals Clinical Decision Support System for Detection of Dengue

2021 ◽  
Vol 23 (4) ◽  
pp. 1-29
Author(s):  
Arati Mohapatro ◽  
S. K. Mahendran ◽  
Tapan Kumar Das
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Dengue Fever ◽  
Support System ◽  
Clinical Decision Support System ◽  
Fuzzy Ahp ◽  
Blood Platelet ◽  
Clinical Decision ◽  
Common Sign ◽  
Blood Platelet Count

Dengue fever is caused due to the mosquito (Aedel aegypti) bite. The symptoms of this fever are similar to other fevers such as Malaria, Chikungunya and Zika. A common sign of Dengue fever is the sharp fall of blood platelet count, amongst other a host of other confusing symptoms, which makes Dengue difficult to diagnose, especially by an inexperienced physician. The purpose of this study is to outline a decision support system (DSS) which would come to the aid of detection of Dengue fever by carrying out an analysis of AHP and fuzzy AHP (FAHP) methodology. The data of confirmed Dengue as diagnosed by a physician is picked up, examined independently using AHP and FAHP approach, the results obtained are then compared with the diagnosis report of an expert doctor. The outcome is encouraging and indicates that expert systems can be leveraged for the diagnosis of Dengue and can be a useful tool for non-expert physicians

RS- and GIS-based decision support system for flood prevention in Xinjiang arid area

2004 ◽  
Author(s):  
Zhihui Liu ◽  
Junying Ma ◽  
Xiwu Zhan ◽  
Lingrui Liu ◽  
Hongjuan Wang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Arid Area ◽  
Flood Prevention ◽  
Rs And Gis

A fuzzy AHP decision support system for selecting yard cranes in marine container terminals

2011 ◽  
Vol 10 (2) ◽  
pp. 227-240 ◽  
Author(s):  
Mansoor Kiani Moghadam ◽  
Ali Reza Moazen Jahromi ◽  
Amir Saeed Nooramin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Ahp ◽  
Container Terminals ◽  
Marine Container Terminals

scholarly journals A Novel Decision Support System Based on Fuzzy Multi Criteria Decision Making for Optimizing Machining Parameters

2021 ◽  
Author(s):  
Muhammed Ordu ◽  
◽  
Yusuf Fedai ◽  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Ahp ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Super Efficiency ◽  
Fuzzy Dea

The aim of this study is to develop a novel decision support system, which has never been developed yet, in order to optimize machining parameters. We combine the three distinct methods: experimental design and analysis, fuzzy data envelopment analysis (DEA) and fuzzy analytical hierarchy process (AHP). Firstly, a full factorial experiment including four factors and three levels is carried out. We take into account cutting speed, feed rate, depth of cut and number of cutting tool inserts as factors. The following three outputs are selected: Material Removal Rate, Machining Time and Surface Roughness. Secondly, a total of 23 experiments are determined as efficient decision-making units using fuzzy DEA with super efficiency method. Finally, a fuzzy AHP approach is conducted to rank the efficient experiments among each other. In conclusion, the results show that the Fuzzy DEA-Fuzzy AHP and the Fuzzy DEA with Super Efficiency generate clearly different rankings of experiments and Fuzzy DEA-Fuzzy AHP Approach has outperformed Fuzzy DEA with Super Efficiency Approach. The results highlight the importance of taking into account the expert opinions in the decision-making processes.

scholarly journals Implementation of a fuzzy decision support system for selection of hand tractor assembly suppliers

2022 ◽  
pp. 44-52
Author(s):  
Denny Utomo ◽  
Pratikto Pratikto ◽  
Purnomo Budi Santoso ◽  
Sugiono Sugiono
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Supplier Selection ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Fuzzy Ahp ◽  
Ahp Method ◽  
Fuzzy Method ◽  
Selection Of

Supplier selection is a complex problem in the current Industry 4.0 era. The large number of suppliers with different performance qualities makes it difficult for the company's internal parties to choose the appropriate supplier. The suitability of quality suppliers needed to supply raw materials needed by the industry is an important matter to be resolved. In the hand tractor assembly industry, this small and medium industry is also very dependent on the availability of supply materials, and of course it also depends on the selection of the supplier itself. In this study, the object of research is the 151 hand tractor assembly manufacturing industry using 10 main criteria for selecting suppliers. Each criterion has a weight that is calculated using the Fuzzy AHP method so as to obtain alternative supplier results that are displayed in order. A supplier is a company or individual that provides the raw materials needed by the company and its competitors to produce certain goods. In this study, a decision support system for supplier selection at the company has been developed using the AHP fuzzy method. The results of this study are expected to help companies in selecting suppliers that match the predetermined criteria. In building a decision support system that provides supplier recommendations, the authors apply the AHP fuzzy method in the process. With the Supplier Selection Decision Support System Using the AHP Fuzzy Method, it can help companies in selecting suppliers. Based on the research that has been done, suggestions can be made for a Decision Support System for Supplier Selection Using the Fuzzy AHP Method so that in the future it can facilitate the use of a more dynamic system

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