Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type
Decision support systems are one of the choices decision-makers make in an attempt to cope with the problems related to the time length required in decision-making process. Such systems are known to improve the efficiency and accuracy in the decision-making processes. In developing a decision suppor...
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D. G. Pylarinos
2018-02-01
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doaj-cee4ed1901a746cba1fe885a7b8c92132020-12-02T15:27:08ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362018-02-0181461Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data TypeR. Umar0. Sunardi1Y. B. Fitriana2Department of Informatics Engineering, Universitas Ahmad Dahlan, Yogyakarta, IndonesiaDepartment of Electrical Engineering, Universitas Ahmad Dahlan, Yogyakarta, IndonesiaDepartment of Informatics Engineering, Universitas Ahmad Dahlan, Yogyakarta, IndonesiaDecision support systems are one of the choices decision-makers make in an attempt to cope with the problems related to the time length required in decision-making process. Such systems are known to improve the efficiency and accuracy in the decision-making processes. In developing a decision support system, a certain calculation method is required as part of its processing. One of the most commonly used methods is FMADM. This research discusses the clustering of decision support system using FMADM in an attempt to provide a taxonomy of decision support system based on FMADM. https://etasr.com/index.php/ETASR/article/view/1747artificial intelligencedecision support systemfuzzytaxonomy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
R. Umar . Sunardi Y. B. Fitriana |
spellingShingle |
R. Umar . Sunardi Y. B. Fitriana Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type Engineering, Technology & Applied Science Research artificial intelligence decision support system fuzzy taxonomy |
author_facet |
R. Umar . Sunardi Y. B. Fitriana |
author_sort |
R. Umar |
title |
Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type |
title_short |
Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type |
title_full |
Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type |
title_fullStr |
Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type |
title_full_unstemmed |
Taxonomy of Fuzzy Multi-Attribute Decision Making Systems in Terms of Model, Inventor and Data Type |
title_sort |
taxonomy of fuzzy multi-attribute decision making systems in terms of model, inventor and data type |
publisher |
D. G. Pylarinos |
series |
Engineering, Technology & Applied Science Research |
issn |
2241-4487 1792-8036 |
publishDate |
2018-02-01 |
description |
Decision support systems are one of the choices decision-makers make in an attempt to cope with the problems related to the time length required in decision-making process. Such systems are known to improve the efficiency and accuracy in the decision-making processes. In developing a decision support system, a certain calculation method is required as part of its processing. One of the most commonly used methods is FMADM. This research discusses the clustering of decision support system using FMADM in an attempt to provide a taxonomy of decision support system based on FMADM.
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topic |
artificial intelligence decision support system fuzzy taxonomy |
url |
https://etasr.com/index.php/ETASR/article/view/1747 |
work_keys_str_mv |
AT rumar taxonomyoffuzzymultiattributedecisionmakingsystemsintermsofmodelinventoranddatatype AT sunardi taxonomyoffuzzymultiattributedecisionmakingsystemsintermsofmodelinventoranddatatype AT ybfitriana taxonomyoffuzzymultiattributedecisionmakingsystemsintermsofmodelinventoranddatatype |
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1724405517845004288 |