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Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making


Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making

Proceedings of the INFUS 2019 Conference, Istanbul, Turkey, July 23-25, 2019
Advances in Intelligent Systems and Computing, Band 1029

von: Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari

CHF 236.00

Verlag: Springer
Format: PDF
Veröffentl.: 05.07.2019
ISBN/EAN: 9783030237561
Sprache: englisch

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Beschreibungen

<p></p><p>This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.</p><br><p></p>
Bipolar models for a more realistic representation and processing of human judgments, intentions and preferences: a role of fuzzy logic.- An Improved Fuzzy Cognitive Mapping Method.- A new community detection algorithm based on fuzzy measures.- A predictive modeling approach to debt collection process.- Intelligent Visual Analysis in Employee Fraud Detection.- A linguistic system of defining and controlling project success.- A Hesitant Fuzzy Correspondence Analysis.- Customer Segmentation Method Determination Using Neutrosophic Sets.- Evaluating Innovation Projects in Air Cargo Sector with Fuzzy COPRAS.- Application of Fuzzy TOPSIS for credit scoring.- Supplier Selection Using Fuzzy Analytic Network Process.- A Fuzzy Based Risk Assessment Model with a Real Case Study.- Intuitionistic Fuzzy c-Control Charts Using Fuzzy Comparison Methods.- Fuzzy Evaluation of a New Search Engine Project to Fundraise NGOs.- Machine Criticality Level Assignment with Fuzzy Inference System for RCM.- HumanReliability Analysis in Healthcare: A Scenario Analysis.<br>
<p>This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.<br></p>
Presents recent research on intelligent and fuzzy techniques in big data analytics and decision-making big data analytics Includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference held in Istanbul, Turkey, July 23–25, 2019 Features interdisciplinary research on fuzzy & intelligent systems and real complex systems

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