Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering
Contemporary business operations are impacted by a lot of market criteria that have been described as uncertain, imprecise, and vague in recent years. Business conditions are impacted by a variety of factors, such as the global pandemic, geopolitical instability, climate change, and other issues tha...
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| Médium: | Online |
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| Jazyk: | angličtina |
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MDPI - Multidisciplinary Digital Publishing Institute
2024
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| On-line přístup: | ONIX_20240514_9783725807420_475 |
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| collection | Directory of Open Access Books |
| description | Contemporary business operations are impacted by a lot of market criteria that have been described as uncertain, imprecise, and vague in recent years. Business conditions are impacted by a variety of factors, such as the global pandemic, geopolitical instability, climate change, and other issues that cannot be easily brought under control. At the same time, some unpredicted events may occur, so existing quantitative and qualitative models under the scope of management and engineering cannot be accurate and reliable. Keeping this in mind, the determination of exact values of variables that are used in conventional management and engineering models is hard to predict, and their previous values are not reliable for future use. The development of fuzzy sets theory has enabled the description of uncertainties which makes them a suitable tool for overcoming the aforementioned issues. This publication focuses on the use of current advancements in fuzzy sets, fuzzy numbers, fuzzy modeling, and their applications in management and engineering. It provides a platform for researchers from academia and industry to present their novel and unpublished work in the domain of management and engineering. This will help to foster future research in the emerging fields of management and engineering. |
| format | Online |
| id | doab-20.500.12854ir-137879 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1378792024-05-14T14:48:50Z Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering Aleksić, Aleksandar online food delivery multi-criteria decision-analysis fuzzy analytic hierarchy process fuzzy technique for order performance by similarity to ideal solution method risk level fuzzy data FAHP fuzzy logic production rules fuzzy portfolio selection dimension of shortage investment dimension of excess investment guaranteed return rate adjustable security proportion m-polar fuzzy graph node integrity edge integrity dominating set dominating integrity sustainability supplier selection order allocation SSOA MCDM type-2 fuzzy sets fuzzy sets intuitionistic fuzzy sets complex intuitionistic fuzzy sets frank prioritized aggregation operators WASPAS techniques multi-attribute decision-making fuzzy multi-attributive decision making the type 2 fuzzy sets literature review multi-criteria decision analysis FTOPSIS resilience competencies military organization Belize ecotourism sustainable fuzzy set theory Delphi DEMATEL organizational resilience key performance indicators recovery time fuzzy delphi fuzzy sets theory open innovation projects IT2FD IT2F AHP IT2F PROMETHEE knowledge management fuzzy theory multi-criteria decision making relative lifetime performance index type II censoring data unbiased estimator consistent estimator confidence-interval-based fuzzy testing method customer satisfaction fuzzy logic system neural networks multiple linear regression ANFIS Taguchi loss function process expected loss confidence interval confidence interval-based fuzzy test corporate social responsibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Contemporary business operations are impacted by a lot of market criteria that have been described as uncertain, imprecise, and vague in recent years. Business conditions are impacted by a variety of factors, such as the global pandemic, geopolitical instability, climate change, and other issues that cannot be easily brought under control. At the same time, some unpredicted events may occur, so existing quantitative and qualitative models under the scope of management and engineering cannot be accurate and reliable. Keeping this in mind, the determination of exact values of variables that are used in conventional management and engineering models is hard to predict, and their previous values are not reliable for future use. The development of fuzzy sets theory has enabled the description of uncertainties which makes them a suitable tool for overcoming the aforementioned issues. This publication focuses on the use of current advancements in fuzzy sets, fuzzy numbers, fuzzy modeling, and their applications in management and engineering. It provides a platform for researchers from academia and industry to present their novel and unpublished work in the domain of management and engineering. This will help to foster future research in the emerging fields of management and engineering. 2024-05-14T14:48:44Z 2024-05-14T14:48:44Z 2024 book ONIX_20240514_9783725807420_475 9783725807420 9783725807413 https://directory.doabooks.org/handle/20.500.12854/137879 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9120 https://mdpi.com/books/pdfview/book/9120 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0741-3 10.3390/books978-3-7258-0741-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725807420 9783725807413 318 open access |
| spellingShingle | online food delivery multi-criteria decision-analysis fuzzy analytic hierarchy process fuzzy technique for order performance by similarity to ideal solution method risk level fuzzy data FAHP fuzzy logic production rules fuzzy portfolio selection dimension of shortage investment dimension of excess investment guaranteed return rate adjustable security proportion m-polar fuzzy graph node integrity edge integrity dominating set dominating integrity sustainability supplier selection order allocation SSOA MCDM type-2 fuzzy sets fuzzy sets intuitionistic fuzzy sets complex intuitionistic fuzzy sets frank prioritized aggregation operators WASPAS techniques multi-attribute decision-making fuzzy multi-attributive decision making the type 2 fuzzy sets literature review multi-criteria decision analysis FTOPSIS resilience competencies military organization Belize ecotourism sustainable fuzzy set theory Delphi DEMATEL organizational resilience key performance indicators recovery time fuzzy delphi fuzzy sets theory open innovation projects IT2FD IT2F AHP IT2F PROMETHEE knowledge management fuzzy theory multi-criteria decision making relative lifetime performance index type II censoring data unbiased estimator consistent estimator confidence-interval-based fuzzy testing method customer satisfaction fuzzy logic system neural networks multiple linear regression ANFIS Taguchi loss function process expected loss confidence interval confidence interval-based fuzzy test corporate social responsibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering |
| title | Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering |
| title_full | Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering |
| title_fullStr | Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering |
| title_full_unstemmed | Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering |
| title_short | Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering |
| title_sort | fuzzy sets fuzzy numbers fuzzy modeling and their applications in management and engineering |
| topic | online food delivery multi-criteria decision-analysis fuzzy analytic hierarchy process fuzzy technique for order performance by similarity to ideal solution method risk level fuzzy data FAHP fuzzy logic production rules fuzzy portfolio selection dimension of shortage investment dimension of excess investment guaranteed return rate adjustable security proportion m-polar fuzzy graph node integrity edge integrity dominating set dominating integrity sustainability supplier selection order allocation SSOA MCDM type-2 fuzzy sets fuzzy sets intuitionistic fuzzy sets complex intuitionistic fuzzy sets frank prioritized aggregation operators WASPAS techniques multi-attribute decision-making fuzzy multi-attributive decision making the type 2 fuzzy sets literature review multi-criteria decision analysis FTOPSIS resilience competencies military organization Belize ecotourism sustainable fuzzy set theory Delphi DEMATEL organizational resilience key performance indicators recovery time fuzzy delphi fuzzy sets theory open innovation projects IT2FD IT2F AHP IT2F PROMETHEE knowledge management fuzzy theory multi-criteria decision making relative lifetime performance index type II censoring data unbiased estimator consistent estimator confidence-interval-based fuzzy testing method customer satisfaction fuzzy logic system neural networks multiple linear regression ANFIS Taguchi loss function process expected loss confidence interval confidence interval-based fuzzy test corporate social responsibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | online food delivery multi-criteria decision-analysis fuzzy analytic hierarchy process fuzzy technique for order performance by similarity to ideal solution method risk level fuzzy data FAHP fuzzy logic production rules fuzzy portfolio selection dimension of shortage investment dimension of excess investment guaranteed return rate adjustable security proportion m-polar fuzzy graph node integrity edge integrity dominating set dominating integrity sustainability supplier selection order allocation SSOA MCDM type-2 fuzzy sets fuzzy sets intuitionistic fuzzy sets complex intuitionistic fuzzy sets frank prioritized aggregation operators WASPAS techniques multi-attribute decision-making fuzzy multi-attributive decision making the type 2 fuzzy sets literature review multi-criteria decision analysis FTOPSIS resilience competencies military organization Belize ecotourism sustainable fuzzy set theory Delphi DEMATEL organizational resilience key performance indicators recovery time fuzzy delphi fuzzy sets theory open innovation projects IT2FD IT2F AHP IT2F PROMETHEE knowledge management fuzzy theory multi-criteria decision making relative lifetime performance index type II censoring data unbiased estimator consistent estimator confidence-interval-based fuzzy testing method customer satisfaction fuzzy logic system neural networks multiple linear regression ANFIS Taguchi loss function process expected loss confidence interval confidence interval-based fuzzy test corporate social responsibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20240514_9783725807420_475 |