Products related to Decision:
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Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making : Artificial Intelligence Applications
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques.It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility. This book:Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computingPresents a comparative analysis of machine learning algorithms for power consumption predictionDiscusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environmentIllustrates a data-driven optimization concept for modeling environmental and economic sustainabilityExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsThe text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.
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District Energy System Design : Simulation, Optimization and Decision Support
The articles presented in this Special Issue cover different aspects of the urban planning process, such as simulation, optimization or decision-making. The authors highlighted the importance of performing an integrated design of the district, considering different sectors, different energy vectors and different operation modes. In order to better integrate renewable and residual energy sources (R2ES), careful design of systems and storage solutions should be performed. Different storage solutions were tested, ranging from large-scale thermal energy storage to vehicle batteries or the thermal mass of buildings. Van der Heijde et al. (2019) proposed a two-layer design optimization algorithm to design a district heating network with solar thermal collectors, seasonal thermal energy storage and excess heat injection. Pajot et al. (2019) also performed an optimization of the sizing and control of energy systems in a district equipped with heat pumps, with thermal energy storage or thermal mass utilization. A hybrid distribution system, coupling the thermal and electrical networks, was proposed by Widl et al. (2019). Arnaudo et al. (2019) used the vehicle-to-grid (V2G) concept to decrease the overloading of the electrical distribution network during heat pump operation. Finally, Kazmi et al. (2019) proposed an integrated decision-making planning approach for a better integration of R2ES in the distribution network. The complexity of urban planning leads to the development of new tools and methodologies. Until now, operation was poorly integrated in the design phase. New urban building energy modeling tools were proposed by the different authors. These tools are either based on co-simulations or integrated solutions to be able to capture the fine dynamics of a district. The difficulty of generating the input data for the models was also discussed. Regarding the methodology, most articles proposed a two-stage optimization procedure to optimize both the operational and design aspects. Mixed-integer linear programming (MILP) and genetic algorithms were often used to find optimal solutions.
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Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making : Optimization Applications
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques.It further covers important topics such as the use of machine learning and the Internet of Things and multi-objective optimization under Fermatean hesitant fuzzy and uncertain environment. This book:Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problemPresents an overview of artificial intelligence (AI) and explainable AI decision-making (XAIDM) and illustrates a data-driven optimization concept for modeling environmental and economic sustainabilityDiscusses machine learning-based multi-objective optimization technique for load balancing in integrated fog-cloud environmentExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsDiscusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, M-estimation of functional regression operator, and intuitionistic fuzzy sets applicationsThe text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.
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Insight : How Decision Analysis Relieved a Life Crisis
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Can economic efficiency and productivity develop mutually?
Yes, economic efficiency and productivity can develop mutually. When businesses and industries become more efficient in their operations, they can produce more output with the same amount of input, leading to increased productivity. Similarly, when productivity increases, it can drive economic efficiency by reducing waste and improving resource allocation. Therefore, as businesses and industries focus on improving efficiency and productivity, they can reinforce and support each other's development.
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What is the difference between efficiency and productivity?
Efficiency refers to how well resources are utilized to achieve a specific goal or output, while productivity measures the output or results generated from a specific amount of input or resources. Efficiency focuses on minimizing waste and maximizing output with the resources available, while productivity is a measure of how much output is produced relative to the input used. In essence, efficiency is about doing things right, while productivity is about doing the right things.
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What are the connections between efficiency and productivity?
Efficiency and productivity are closely connected in that efficiency refers to the ability to accomplish a task with minimal waste, effort, or cost, while productivity refers to the rate at which goods or services are produced. When a process or system is efficient, it can lead to increased productivity because it allows for more output to be generated with the same amount of input. Conversely, when productivity is high, it often indicates that the resources and processes are being used efficiently. Therefore, improving efficiency can lead to increased productivity, and vice versa, as they both contribute to the overall effectiveness of a business or organization.
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Does increasing productivity lead to higher economic efficiency?
Yes, increasing productivity can lead to higher economic efficiency. When a company or economy can produce more output with the same input of resources, it can lead to lower production costs and higher profits. This can also lead to lower prices for consumers, which can increase overall economic welfare. Additionally, higher productivity can lead to increased competitiveness in the global market, which can further contribute to economic efficiency.
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Insight : How Decision Analysis Relieved a Life Crisis
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Inside the Rehearsal Room : Process, Collaboration and Decision-Making
Shortlisted for the STR Theatre Book Prize 2023With an exclusive focus on text-based theatre-making, Inside the Rehearsal Room is both an instructional and conceptual examination of the rehearsal process.Drawing on professional practice and underpinned by theory, this book moves through each stage of rehearsals, considering the inter-connectivity between the actor, director, designers and the backstage team, and how the cumulative effect of the weeks in rehearsal influences the final production. The text also includes: - Auto-ethnographic and fully ethno-graphic case study approaches to different rehearsal rooms- Interviews with directors, actors, designers and actor trainers- A consideration of the ethics of the rehearsal room and material selected for production- Practical exercises on how to creatively read a text from an acting and directing perspectiveInformed by over 20 years of directing experience in the UK and Europe, Robert Marsden's book offers a practical guide that ultimately demystifies the rehearsal process and challenges how the rehearsal room should be run in the twenty-first century.
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Causality, Correlation And Artificial Intelligence For Rational Decision Making
Causality has been a subject of study for a long time.Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation.In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making.A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization.Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods.Both these machines are used to build a Granger non-linear causality model.In addition, the Neyman-Rubin, Pearl and Granger causal models are studied and are unified.The automatic relevance determination is also applied to extend Granger causality framework to the non-linear domain.The concept of rational decision making is studied, and the theory of flexibly-bounded rationality is used to extend the theory of bounded rationality within the principle of the indivisibility of rationality.The theory of the marginalization of irrationality for decision making is also introduced to deal with satisficing within irrational conditions.The methods proposed are applied in biomedical engineering, condition monitoring and for modelling interstate conflict.
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Creativity Loops–Based Decision Making : A Systems Thinking Approach
This book presents an innovative framework for enhancing creativity in decision-making by applying systems thinking principles and tools.It is based on the premise that creativity is not a fixed trait that some people have and others don't, but a skill that can be learned and improved with practice and guidance.The book also argues that decision-making is not a linear or mechanical process that can be reduced to simple rules or formulas, but a dynamic and creative process that requires holistic and systemic thinking. The work also shows that systems thinking is not a complicated or abstract theory that only experts can use, but a practical and powerful tool that anyone can apply to understand and improve complex situations.The framework consists of six steps: problem identification, idea generation, idea selection, idea development, idea implementation, and monitoring and evaluating results and feedback. Readers will learn to use the framework to solve complex problems and generate innovative ideas in any context and domain.Through the systematic integration of existing models into a unified framework, the book contributes to ongoing dialogues regarding effective decision-making processes.It critically evaluates prominent models like the Creative Problem-Solving Model, the Rational Decision Making Model, and the Intuitive Decision Making Model.Researchers seeking insights into incorporating creativity into decision-making will find this book to be a valuable scholarly resource.
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Is creativity a form of intelligence?
Creativity can be considered a form of intelligence, as it involves the ability to think outside the box, generate original ideas, and solve problems in innovative ways. Creative individuals often demonstrate high levels of cognitive flexibility, which is a key component of intelligence. However, creativity also encompasses emotional and social intelligence, as it involves understanding and expressing oneself in unique and meaningful ways. Therefore, while creativity is a distinct form of intelligence, it also incorporates various aspects of cognitive, emotional, and social intelligence.
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What is the relationship between productivity and economic efficiency?
Productivity and economic efficiency are closely related concepts. Productivity refers to the amount of output produced per unit of input, such as labor or capital. When productivity increases, more output is produced with the same amount of input, leading to greater economic efficiency. Economic efficiency, on the other hand, refers to the optimal allocation of resources to maximize output and minimize waste. Therefore, higher productivity often leads to greater economic efficiency as resources are used more effectively to produce goods and services. Conversely, lower productivity can lead to inefficiencies in resource allocation and reduced overall economic efficiency.
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What is the difference between productivity, efficiency, and profitability?
Productivity refers to the amount of output produced per unit of input, such as time or resources. Efficiency, on the other hand, focuses on how well resources are used to achieve a specific goal or output. Profitability, meanwhile, is a measure of how efficiently a company generates profit relative to its costs and expenses. In essence, productivity is about output per input, efficiency is about resource utilization, and profitability is about the bottom line of a business.
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What is decision 22?
Decision 22 is a resolution adopted by the Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC). It focuses on the implementation of the Paris Agreement, specifically on enhancing the transparency framework for action and support. Decision 22 aims to strengthen the reporting and review processes to ensure that countries are meeting their climate commitments and to build trust among parties. It plays a crucial role in monitoring progress towards the goals of the Paris Agreement and increasing accountability in global efforts to combat climate change.
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