Fuzzy Sets and Fuzzy Systems
Over time, the concepts of cost, time, delivery, space, quality, durability, and price began to gain more significance in the emerging trends of information technology when it comes to solving managerial decision-making problems in supply chain models, transportation issues, inventory control issues...
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| Médium: | Online |
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| Jazyk: | angličtina |
| Vydáno: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Témata: | |
| On-line přístup: | https://directory.doabooks.org/handle/20.500.12854/170619 |
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| _version_ | 1869526889163390976 |
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| collection | Directory of Open Access Books |
| description | Over time, the concepts of cost, time, delivery, space, quality, durability, and price began to gain more significance in the emerging trends of information technology when it comes to solving managerial decision-making problems in supply chain models, transportation issues, inventory control issues, and related areas. In uncertain situations, competition is becoming more difficult by the day. For instance, a number of diverse aspects, such as the cost of manufacturing and one's degree of income, frequently influence consumer demand. In these situations, the demand is either still unmet or remarkably difficult to meet in the real-world market. Due to their numeric membership functions, fuzzy sets cannot always represent this uncertainty explicitly. However, it has been discovered that type two, random fuzzy, bifuzzy, and fuzzy random sets are more suited to account for intrinsic uncertainty. These various fuzzy systems are able to manage greater degrees of ambiguity in increasingly difficult real-world issues. However, it is crucial to employ optimization techniques in order to obtain the ideal design as diverse fuzzy systems grow more complicated to conceive. This Reprint highlights novel modeling techniques and fuzzy optimization strategies applied to real-world problems, including sustainable green supply chain systems, relief logistics under uncertainty, and cloud-based software prediction, alongside theoretical developments in fuzzy systems. |
| format | Online |
| id | doab-20.500.12854ir-170619 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1706192026-01-02T16:17:21Z Fuzzy Sets and Fuzzy Systems Jana, Dipak Kumar Dostál, Petr fuzzy set soft computing fuzzy system optimization Over time, the concepts of cost, time, delivery, space, quality, durability, and price began to gain more significance in the emerging trends of information technology when it comes to solving managerial decision-making problems in supply chain models, transportation issues, inventory control issues, and related areas. In uncertain situations, competition is becoming more difficult by the day. For instance, a number of diverse aspects, such as the cost of manufacturing and one's degree of income, frequently influence consumer demand. In these situations, the demand is either still unmet or remarkably difficult to meet in the real-world market. Due to their numeric membership functions, fuzzy sets cannot always represent this uncertainty explicitly. However, it has been discovered that type two, random fuzzy, bifuzzy, and fuzzy random sets are more suited to account for intrinsic uncertainty. These various fuzzy systems are able to manage greater degrees of ambiguity in increasingly difficult real-world issues. However, it is crucial to employ optimization techniques in order to obtain the ideal design as diverse fuzzy systems grow more complicated to conceive. This Reprint highlights novel modeling techniques and fuzzy optimization strategies applied to real-world problems, including sustainable green supply chain systems, relief logistics under uncertainty, and cloud-based software prediction, alongside theoretical developments in fuzzy systems. 2026-01-02T16:17:18Z 2026-01-02T16:17:18Z 2025 book 978-3-7258-4831-7 https://directory.doabooks.org/handle/20.500.12854/170619 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11347 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4832-4 10.3390/books978-3-7258-4832-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 978-3-7258-4831-7 176 CH open access |
| spellingShingle | fuzzy set soft computing fuzzy system optimization Fuzzy Sets and Fuzzy Systems |
| title | Fuzzy Sets and Fuzzy Systems |
| title_full | Fuzzy Sets and Fuzzy Systems |
| title_fullStr | Fuzzy Sets and Fuzzy Systems |
| title_full_unstemmed | Fuzzy Sets and Fuzzy Systems |
| title_short | Fuzzy Sets and Fuzzy Systems |
| title_sort | fuzzy sets and fuzzy systems |
| topic | fuzzy set soft computing fuzzy system optimization |
| topic_facet | fuzzy set soft computing fuzzy system optimization |
| url | https://directory.doabooks.org/handle/20.500.12854/170619 |