Essays about: "OWA"
Found 4 essays containing the word OWA.
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1. People on the same boat should help each other: A Feasibility Assessment for an Offshore Wind Accelerator (OWA) in China
University essay from Lunds universitet/Internationella miljöinstitutetAbstract : Facing the challenges of climate change and energy depletion, the world needs to deploy more renewable energy to replace fossil fuels. As the largest energy consumer and carbon emitter, China’s sustainable energy transition is particularly important. READ MORE
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2. Comparisons between different multi-criteria decision analysis techniques for disease susceptibility mapping
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Geographic information system multi-criteria decision analysis (GIS-MCDA) procedure can combine criterion maps together and associated the criterion weights to acquire an overall value for each spatial location in the research area. Analytical Hierarchy Process (AHP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Ordered Weighted averaging (OWA) are three generic algorithms of multi-criteria decision analysis. READ MORE
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3. Takagi-Sugeno and Mamdani Fuzzy Control of a Resort Management System
University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskapAbstract : By means of fuzzy set theory as well as Takagi-Sugeno and Mamdani fuzzy controller, this paper presents the investigation of a Resort Management System implemented by a combination of a T-S model and a Mamdani model. It demonstrates the procedure of the specific premise parameters identification and consequence parameters identification performed by regression knowledge in the T-S model, and the process of the fuzzification, the rule base creation and the defuzzification with COG technique in the Mamdani model. READ MORE
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4. Fuzzy decision making using max-min and MMR methods
University essay from Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskapAbstract : Fuzzy logic is based on the theory of fuzzy sets, where an object’s membership of a set is gradual rather than just member or not a member. Fuzzy logic uses the whole interval of real numbers between zero (False) and one (True) to develop a logic as a basis for rules of inference. READ MORE