Optimization of Dempster-Shafer's Believe Value Using Genetic Algorithm fo Identification of Plant Diseases Jatropha Curcas
| Main Authors: | Triando Hamonangan Saragih, Wayan Firdaus Mahmudy, Yusuf Priyo Anggodo |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4310989 |
| ctrlnum |
4310989 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Triando Hamonangan Saragih</creator><creator>Wayan Firdaus Mahmudy</creator><creator>Yusuf Priyo Anggodo</creator><date>2018-10-01</date><description>Jatropha curcas is a plant that can be used as a substitute for diesel fuel. Lack of knowledge of farmers and the limited number of experts and extension agents to deal with the disease of the plant will result lower quality of Jatropha curcas. Dempster-Shafer method can be a solution for decision making based on previous research. The difference in beliefs of every expert in seeing Jatropha diseases may reduce the accuracy of the method. A set of numerical experiment prove that optimization of belief values using genetic algorithms can improve the accuracy Dempster-Shafer.</description><identifier>https://zenodo.org/record/4310989</identifier><identifier>10.11591/ijeecs.v12.i1.pp61-68</identifier><identifier>oai:zenodo.org:4310989</identifier><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>Indonesian Journal of Electrical Engineering and Computer Science 12(1) 61-68</source><subject>Dempster-shafer</subject><subject>Disease identification</subject><subject>Genetic algorithm</subject><subject>Jatropha curcas</subject><title>Optimization of Dempster-Shafer's Believe Value Using Genetic Algorithm fo Identification of Plant Diseases Jatropha Curcas</title><type>Journal:Article</type><type>Journal:Article</type><recordID>4310989</recordID></dc>
|
| format |
Journal:Article Journal Journal:Journal |
| author |
Triando Hamonangan Saragih Wayan Firdaus Mahmudy Yusuf Priyo Anggodo |
| title |
Optimization of Dempster-Shafer's Believe Value Using Genetic Algorithm fo Identification of Plant Diseases Jatropha Curcas |
| publishDate |
2018 |
| topic |
Dempster-shafer Disease identification Genetic algorithm Jatropha curcas |
| url |
https://zenodo.org/record/4310989 |
| contents |
Jatropha curcas is a plant that can be used as a substitute for diesel fuel. Lack of knowledge of farmers and the limited number of experts and extension agents to deal with the disease of the plant will result lower quality of Jatropha curcas. Dempster-Shafer method can be a solution for decision making based on previous research. The difference in beliefs of every expert in seeing Jatropha diseases may reduce the accuracy of the method. A set of numerical experiment prove that optimization of belief values using genetic algorithms can improve the accuracy Dempster-Shafer. |
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IOS16997.4310989 |
| institution |
ZAIN Publications |
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7213 |
| institution_type |
library:special library |
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Cognizance Journal of Multidisciplinary Studies |
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5267 |
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Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
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1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T04:52:22Z |
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2022-06-06T04:52:22Z |
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dc |
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1734903491521937408 |
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17.538404 |