Development of a scenario-based fuzzy robust decision support system
Purpose: The purpose of this research is providing a solution to help make better decisions in the ambiguous world of uncertainties. In a world full of uncertainties, researchers invented methods such as scenario planning and robust decision making, and for highly ambiguous environments they tough u...
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| Format: | Article |
| Language: | fas |
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Ayandegan Institute of Higher Education, Tonekabon,
2024-12-01
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| Series: | تصمیم گیری و تحقیق در عملیات |
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| Online Access: | https://www.journal-dmor.ir/article_211079_dcacef4508b50e546a7bcee553c69f14.pdf |
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| _version_ | 1832577843667664896 |
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| author | Safar Fazli Ali Niknam |
| author_facet | Safar Fazli Ali Niknam |
| author_sort | Safar Fazli |
| collection | DOAJ |
| description | Purpose: The purpose of this research is providing a solution to help make better decisions in the ambiguous world of uncertainties. In a world full of uncertainties, researchers invented methods such as scenario planning and robust decision making, and for highly ambiguous environments they tough up fuzzy logic. Today, without a decision support system, decision making will be done relatively slowly. Without considering different scenarios, it is not possible to make robust decisions in the face of numerous large and small uncertainties.Methodology: This research is of applied and qualitative type. The data were collected in a documentary and library method from the articles and books available in reliable scientific databases using computer files. The type of data is qualitative and the method of data analysis is thematic analysis.Findings: In robust decision-making, scenarios are used in two ways. In one case, after choosing several alternative decisions, you can write the scenarios that affect them and evaluate the decisions. Otherwise, you can first write different scenarios and then test alternative decisions in those scenarios and choose the optimal decision as the robust decision. Also, fuzzy logic can be used in the form of fuzzy Delphi and other fuzzy calculations in different parts of scenario planning and strategy robustness evaluation.Originality/Value: In this paper, a method was presented according to which a robust decision support system can be developed using the GBN scenario planning method and fuzzy logic. In this method, fuzzy Delphi was used to create scenarios and fuzzy inference system was used to make decisions. |
| format | Article |
| id | doaj-art-d69ceea8d002416a9750b54fd887976a |
| institution | Kabale University |
| issn | 2538-5097 2676-6159 |
| language | fas |
| publishDate | 2024-12-01 |
| publisher | Ayandegan Institute of Higher Education, Tonekabon, |
| record_format | Article |
| series | تصمیم گیری و تحقیق در عملیات |
| spelling | doaj-art-d69ceea8d002416a9750b54fd887976a2025-01-30T15:04:05ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592024-12-019369070710.22105/dmor.2024.476625.1869211079Development of a scenario-based fuzzy robust decision support systemSafar Fazli0Ali Niknam1Department Futures Studies, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran.Department Futures Studies, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran.Purpose: The purpose of this research is providing a solution to help make better decisions in the ambiguous world of uncertainties. In a world full of uncertainties, researchers invented methods such as scenario planning and robust decision making, and for highly ambiguous environments they tough up fuzzy logic. Today, without a decision support system, decision making will be done relatively slowly. Without considering different scenarios, it is not possible to make robust decisions in the face of numerous large and small uncertainties.Methodology: This research is of applied and qualitative type. The data were collected in a documentary and library method from the articles and books available in reliable scientific databases using computer files. The type of data is qualitative and the method of data analysis is thematic analysis.Findings: In robust decision-making, scenarios are used in two ways. In one case, after choosing several alternative decisions, you can write the scenarios that affect them and evaluate the decisions. Otherwise, you can first write different scenarios and then test alternative decisions in those scenarios and choose the optimal decision as the robust decision. Also, fuzzy logic can be used in the form of fuzzy Delphi and other fuzzy calculations in different parts of scenario planning and strategy robustness evaluation.Originality/Value: In this paper, a method was presented according to which a robust decision support system can be developed using the GBN scenario planning method and fuzzy logic. In this method, fuzzy Delphi was used to create scenarios and fuzzy inference system was used to make decisions.https://www.journal-dmor.ir/article_211079_dcacef4508b50e546a7bcee553c69f14.pdfdecision support systemfuzzy delphigbn scenario planningrobust decision |
| spellingShingle | Safar Fazli Ali Niknam Development of a scenario-based fuzzy robust decision support system تصمیم گیری و تحقیق در عملیات decision support system fuzzy delphi gbn scenario planning robust decision |
| title | Development of a scenario-based fuzzy robust decision support system |
| title_full | Development of a scenario-based fuzzy robust decision support system |
| title_fullStr | Development of a scenario-based fuzzy robust decision support system |
| title_full_unstemmed | Development of a scenario-based fuzzy robust decision support system |
| title_short | Development of a scenario-based fuzzy robust decision support system |
| title_sort | development of a scenario based fuzzy robust decision support system |
| topic | decision support system fuzzy delphi gbn scenario planning robust decision |
| url | https://www.journal-dmor.ir/article_211079_dcacef4508b50e546a7bcee553c69f14.pdf |
| work_keys_str_mv | AT safarfazli developmentofascenariobasedfuzzyrobustdecisionsupportsystem AT aliniknam developmentofascenariobasedfuzzyrobustdecisionsupportsystem |