Summary: | 碩士 === 國立成功大學 === 土木工程學系碩博士班 === 98 === Buildings have considerable impacts on the environment; it has become necessary to pay more attention to environmental performance in building design. A green building is an outcome of a design philosophy which focuses on increasing the efficiency of resource use - energy, water, and materials. However, it is a difficult task to find better green building design satisfying several conflicting criteria, especially, economical and environmental performance.
Forecasting the sustainability performance of a building during the early design process is important to assess and rehearse the potential environmental impacts and cost of effective energy efficient of a building. Developer and consultant are the parties who make decision on green building design selection, often have conflicting preference for building design, where developer are looking for profitability design while consultant are concern in sustainability. Moreover decision maker’s risk behaviour had influence decision making and makes decision making a complex task. A multi-agent decision making system is required to solve problems in selecting the best designs for most sustainable in environmental and economics profitable green building design. Hence, a decision making trade-off tool is necessary to enable each decision maker to evaluate and rank the solution alternatives.
This paper presents a conceptual model in simulated the risk behaviour of decision maker to influence the decision making by using 3 difference process. The processes allow decision makers to assess the green building cost and effectiveness of performance of different design alternatives during the early design stage. The first approach is based on benefit cost analyses which is a tool to analysis the sustainability to environment impact and cost profitability of the alternative green building designs. The second process is multi criteria decision process which Analytic Hierarchy Process is a tool for identifying each decision maker preference and the consequences of preference weights will apply to utility theory to identify decision maker’s risk behaviours. Two-person nonzero sum game model has been used for developing a interaction of decision making process base on both decision maker utilities to determining satisfy solution and the interaction between them with different risk behaviour. The results of the case study show the consultant plays an important role in influencing the developer’s choice of selecting a desirable green building design alternative and the arbitrary of developer in selecting the green design alternative which developer decision is subjective base on the decision of consultant.
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