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This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved;
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the potential to support decision making in many areas of management, international business, finance, accounting, marketing, healthcare;
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in Industrial and Management Engineering * Computational Media Computing and its Applications * Intelligent Decision-Making Technologies * Digital;
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promoting knowledge transfer and the generation of new ideas in the field of intelligent decision making, project management and data analysis. The;
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algorithms can be used to optimize resources and meet time, budget and quality criteria. It addresses topics including decision-making principles;
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annual conference was to present and discuss the latest research results, and to generate new ideas in the field of intelligent decision-making;
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models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming;
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and development of new products. Improvement in decision making capability and quality. Usage of Knowledge;
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The book presents a broad view on the nature of intelligent decision-making which is characterized by the use of models and methods in the;
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of new ideas in the field of intelligent decision making. The range of topics discussed during the conference covered methods;
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handle the challenges related to decision making in various aspects. It incorporates the advances of machine intelligent techniques in decision;
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control algorithms for intelligent decision-making of articulated agents, experimental study of the properties of soft agents as the end-effector;
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Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring;
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about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored;
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scientific papers analyze the problems and challenges of decision-making under uncertainty, supply chain management, green transportation management;
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-of-the-art research and development in various areas of Intelligent Systems and Knowledge Engineering, particularly of Intelligent Decision;
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, Istanbul, Turkey. The theme was intelligent systems and decision making for risk analysis and crisis response. The risk issues in the papers;
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to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.;
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The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;
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The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;
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of school-based decision making and learn how to work collaboratively to build quality teams to manage a school. Following the TTS Model, each;
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-making. It incorporates recent developments in inventory management, including Just-in-Time Management, Materials Requirement Planning, and Total;
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concepts of TQM, effective schools, OBE, and shared decision making.;
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control systems, intelligent information systems, decision making under imperfect information and others. The topics of the papers include;
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decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization;
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decision sciences. In detail the included scientific papers analyze the problem of Decision Making under Uncertainty, Stochastic Optimization;
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from information collection to resource planning and from equipment scheduling to field operation; highlights several dynamic decision-making;
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