Granular computing and big data advancements:
"In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis o...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape.The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world."-- |
| Beschreibung: | 17 PDFs (335 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369342930 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Granular computing and big data advancements |c Chao Zhang, Wentao Li, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 17 PDFs (335 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system -- Chapter 2. Multi-source information fusion models and methods based on granular computing -- Chapter 3. Community discovery in complex network big data -- Chapter 4. Information granule, modeling, and application from the perspective of granular computing -- Chapter 5. A novel sequential three-way decision with rough fuzzy sets based on optimal granularity selection -- Chapter 6. Multi-granulation-based optimal scale selection in multi-scale information systems -- Chapter 7. Fuzzy hamacher aggregation functions and their applications to multiple attribute decision making -- Chapter 8. The researches on knowledge distance and its relative extensions -- Chapter 9. Feasibility evaluation of highwall mining in open-pit coal mine based on variable weight fuzzy theory -- Chapter 10. Trusted fine-grained image classification based on evidence theory and its applications to medical image analysis. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape.The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/12/2024). | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Granular computing. | |
| 650 | 0 | |a Machine learning. | |
| 653 | |a Bayesian Inference Graphical Models. | ||
| 653 | |a Customer Behavior Analysis. | ||
| 653 | |a Data Mining Algorithms for Big Data Analytics. | ||
| 653 | |a Decision Rules. | ||
| 653 | |a Decision Trees. | ||
| 653 | |a Emerging Trends in Big Data Analytics and Decision-Making. | ||
| 653 | |a Ethical and Societal Implications of Big Data-Driven Decision-Making. | ||
| 653 | |a Evolutionary Algorithms for Decision-Making. | ||
| 653 | |a Fairness and Bias in Decision-Making Algorithms. | ||
| 653 | |a Financial Decision-Making Under Uncertainty. | ||
| 653 | |a Foundations of Decision Theory. | ||
| 653 | |a Fuzzy Logic and Fuzzy Sets in Decision-Making. | ||
| 653 | |a Healthcare Analytics and Medical Decision Support Systems. | ||
| 653 | |a Leveraging Big Data for Decision-Making. | ||
| 653 | |a Linear Programming for Decision Optimization. | ||
| 653 | |a Machine Learning Algorithms for Big Data Analytics. | ||
| 653 | |a Metaheuristics for Decision-Making. | ||
| 653 | |a Nonlinear Programming for Decision Optimization. | ||
| 653 | |a Probabilistic Graphical Models. | ||
| 653 | |a Regulations Compliance. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Li, Wentao |e editor. | |
| 700 | 1 | |a Zhang, Chao |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369342923 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4292-3 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4292-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00338625 |
|---|---|
| _version_ | 1826942603504910336 |
| adam_text | |
| any_adam_object | |
| author2 | Li, Wentao Zhang, Chao |
| author2_role | edt edt |
| author2_variant | w l wl c z cz |
| author_facet | Li, Wentao Zhang, Chao |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.S63 G73 2024e |
| callnumber-search | QA76.9.S63 G73 2024e |
| callnumber-sort | QA 276.9 S63 G73 42024E |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system -- Chapter 2. Multi-source information fusion models and methods based on granular computing -- Chapter 3. Community discovery in complex network big data -- Chapter 4. Information granule, modeling, and application from the perspective of granular computing -- Chapter 5. A novel sequential three-way decision with rough fuzzy sets based on optimal granularity selection -- Chapter 6. Multi-granulation-based optimal scale selection in multi-scale information systems -- Chapter 7. Fuzzy hamacher aggregation functions and their applications to multiple attribute decision making -- Chapter 8. The researches on knowledge distance and its relative extensions -- Chapter 9. Feasibility evaluation of highwall mining in open-pit coal mine based on variable weight fuzzy theory -- Chapter 10. Trusted fine-grained image classification based on evidence theory and its applications to medical image analysis. |
| ctrlnum | (CaBNVSL)slc00006611 (OCoLC)1452677761 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00338625 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369342930 |
| language | English |
| oclc_num | 1452677761 |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 17 PDFs (335 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Granular computing and big data advancements Chao Zhang, Wentao Li, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 17 PDFs (335 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system -- Chapter 2. Multi-source information fusion models and methods based on granular computing -- Chapter 3. Community discovery in complex network big data -- Chapter 4. Information granule, modeling, and application from the perspective of granular computing -- Chapter 5. A novel sequential three-way decision with rough fuzzy sets based on optimal granularity selection -- Chapter 6. Multi-granulation-based optimal scale selection in multi-scale information systems -- Chapter 7. Fuzzy hamacher aggregation functions and their applications to multiple attribute decision making -- Chapter 8. The researches on knowledge distance and its relative extensions -- Chapter 9. Feasibility evaluation of highwall mining in open-pit coal mine based on variable weight fuzzy theory -- Chapter 10. Trusted fine-grained image classification based on evidence theory and its applications to medical image analysis. Restricted to subscribers or individual electronic text purchasers. "In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape.The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/12/2024). Big data. Granular computing. Machine learning. Bayesian Inference Graphical Models. Customer Behavior Analysis. Data Mining Algorithms for Big Data Analytics. Decision Rules. Decision Trees. Emerging Trends in Big Data Analytics and Decision-Making. Ethical and Societal Implications of Big Data-Driven Decision-Making. Evolutionary Algorithms for Decision-Making. Fairness and Bias in Decision-Making Algorithms. Financial Decision-Making Under Uncertainty. Foundations of Decision Theory. Fuzzy Logic and Fuzzy Sets in Decision-Making. Healthcare Analytics and Medical Decision Support Systems. Leveraging Big Data for Decision-Making. Linear Programming for Decision Optimization. Machine Learning Algorithms for Big Data Analytics. Metaheuristics for Decision-Making. Nonlinear Programming for Decision Optimization. Probabilistic Graphical Models. Regulations Compliance. Electronic books. Li, Wentao editor. Zhang, Chao editor. IGI Global, publisher. Print version: 9798369342923 |
| spellingShingle | Granular computing and big data advancements Chapter 1. Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system -- Chapter 2. Multi-source information fusion models and methods based on granular computing -- Chapter 3. Community discovery in complex network big data -- Chapter 4. Information granule, modeling, and application from the perspective of granular computing -- Chapter 5. A novel sequential three-way decision with rough fuzzy sets based on optimal granularity selection -- Chapter 6. Multi-granulation-based optimal scale selection in multi-scale information systems -- Chapter 7. Fuzzy hamacher aggregation functions and their applications to multiple attribute decision making -- Chapter 8. The researches on knowledge distance and its relative extensions -- Chapter 9. Feasibility evaluation of highwall mining in open-pit coal mine based on variable weight fuzzy theory -- Chapter 10. Trusted fine-grained image classification based on evidence theory and its applications to medical image analysis. Big data. Granular computing. Machine learning. |
| title | Granular computing and big data advancements |
| title_auth | Granular computing and big data advancements |
| title_exact_search | Granular computing and big data advancements |
| title_full | Granular computing and big data advancements Chao Zhang, Wentao Li, editors. |
| title_fullStr | Granular computing and big data advancements Chao Zhang, Wentao Li, editors. |
| title_full_unstemmed | Granular computing and big data advancements Chao Zhang, Wentao Li, editors. |
| title_short | Granular computing and big data advancements |
| title_sort | granular computing and big data advancements |
| topic | Big data. Granular computing. Machine learning. |
| topic_facet | Big data. Granular computing. Machine learning. Electronic books. |
| work_keys_str_mv | AT liwentao granularcomputingandbigdataadvancements AT zhangchao granularcomputingandbigdataadvancements AT igiglobal granularcomputingandbigdataadvancements |