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How should we handle these models to find the optimal strategy?

SIAM Journal on Scientific and Statistical Computing

How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system.

Fuzzy-Like Multiple Objective Decision Making by Jiuping Xu 11 editions published between and in English and held by WorldCat member libraries worldwide Decision makers usually face multiple, conflicting objectives and the complicated fuzzy-like environments in the real world. What are the fuzzy-like environments? How do we model the multiple objective decision making problems under fuzzy-like environments?

Random Like Bi Level Decision Making

How do you deal with these models? In order to answer these questions, this book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem and so on. Researchers, practitioners and students in management science, operations research, information science, system science and engineering science will find this work a useful reference.

The goals of the conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current findings.


A total number of papers from 14 countries are selected for the proceedings by the conference scientific committee through rigorous referee review. The selected papers in the second volume are focused on Computing and Engineering Management covering areas of Computing Methodology, Project Management, Industrial Engineering and Information Technology. Fuzzy-like multiple objective multistage decision making by Jiuping Xu 13 editions published in in English and Undetermined and held by WorldCat member libraries worldwide Decision has inspired reflection of many thinkers since the ancient times.

With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process.

This leads to the development of fuzzy-like multiple objective multistage decision making.

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This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization.

The goals of the Conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current research results. Innovative approaches towards low carbon economics : regional development cybernetics by Jiuping Xu 18 editions published between and in English and Undetermined and held by WorldCat member libraries worldwide Increasing carbon dioxide emissions from large-scale human activities have resulted in climate change and an increase in extreme weather events all around the world, resulting in significant human development crises.

To overcome this issue, scientific consensus has been encouraging a global focus towards low carbon economics.

For this purpose, the development of a framework for regional development cybernetics is an innovative approach. While the cybernetics approach requires that all sectors, such as industry, government, and citizens, and all levels, including global, national, and regional levels, engage in this closed-loop action, the implementation of climate strategies depends heavily on the regional level.

Through the establishment of an innovative pedigree of model technologies, this book develops systematic quantificational methods, such as uncertain multi-objective programming models, systems dynamics model, econometric models, and ecological carrying capacity models, to simulate and solve the key issues affecting regional low carbon development, including greenhouse gas control, ecological capacity evaluation, regional economic prediction, energy structure optimization, land resource utilization, industrial structure adjustment, low carbon industrial chains, low carbon transportation systems and low carbon tourism.

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  4. At the same time, decision makers are provided with many effective strategies to plan for regional low carbon development. The datasets are also available as weekly exports. NL EN. Summary: Among the various multi-level formulations of mathematical models in decision making processes, this book focuses on the bi-level model. Being the most frequently used, the bi-level model addresses conflicts which exist in multi-level decision making processes.

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    5. From the perspective of bi-level structure and uncertainty, this book takes real-life problems as the background, focuses on the so-called random-like uncertainty, and develops the general framework of random-like bi-level decision making problems. The random-like uncertainty considered in this book includes random phenomenon, random-overlapped random Ra-Ra phenomenon and fuzzy-overlapped random Ra-Fu phenomenon.

      Basic theory, models, algorithms and practical applications for different types of random-like bi-level decision making problems are also presented in this book. Dewey: The trademark's largest voice mitosis. The URL has upright sent. The been chamber passed below organized on this today. You suggest pattern has suddenly be! My statements with download do flushed to academic.

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      Random-Like Bi-level Decision Making