英文摘要 |
At the building planning and design stage, the most important criteria in building planning are safety and cost. However, these two objectives are often in conflict. Thus, architects, who must also strike an optimal balance between two conflicting objectives, may be indecisive when planning buildings. Its a Multi-Objective Optimization Problem (MOOP). Except for the MOOP, there exists the subjective characteristics when architects planning the buildings. It is also deserved further investigation to explain these subjective characteristics adequately to match the architects planning preference. This research integrates fuzzy theory, indifference curve, efficient frontier and data envelopment analysis (DEA), and defines every type of architect planning preferences. Fuzzy number in fuzzy theory was adopted to identify the degree of architect preference. The slope of the indifference curve was used to determine the architect planning preference. The planning weight could then be deduced. This research applied the efficient frontier via DEA to identify a group of plans with the highest seismic performance index under different unit construction cost conditions for school buildings. This group of plans may create an efficient frontier curve for school buildings, with points serving as benchmarks. A total of 326 school buildings in Taichung City in an empirical study designed to illustrate proposed approach effectiveness. The results show that using only objective evaluation or subjective recognition is insufficient to explain the true nature of building planning. Findings can serve as benchmarks for inefficient school buildings at the planning and design stage. |