Climate change is an inevitable and urgent global challenge with long-term implications for the sustainable development of all countries. To overcome this human crisis, the scientific consensus is driving global action towards low carbon economics. Though this action has to involve all sectors (industries, governments, and citizens) and at all levels (global, national and regional levels), the implementation of climate strategies will predominantly be at the regional level. By establishing an innovative range of model technologies, this book aims to develop systematic quantificational methods, such as uncertain multi-objective programming models and system dynamics models, to provide a new approach to low carbon economics that can serve as a paradigm for general regions. At the same time, it offers decision makers a number of effective strategies for some key issues in regional low carbon development, such as 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. It also provides researchers with a new perspective on how to address social problems using quantitative techniques.

Climate change is an inevitable and urgent global challenge with long-term implications for the sustainable development of all countries. To overcome this human crisis, the scientific consensus is driving global action towards low carbon economics. Though this action has to involve all sectors (industries, governments, and citizens) and at all levels (global, national and regional levels), the implementation of climate strategies will predominantly be at the regional level. By establishing an innovative range of model technologies, this book aims to develop systematic quantificational methods, such as uncertain multi-objective programming models and system dynamics models, to provide a new approach to low carbon economics that can serve as a paradigm for general regions. At the same time, it offers decision makers a number of effective strategies for some key issues in regional low carbon development, such as 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. It also provides researchers with a new perspective on how to address social problems using quantitative techniques.

What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some descriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? 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. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.

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