Optimization model of interior decoration budget allocation based on the framework of knapsack problem

碩士 === 國立雲林科技大學 === 營建工程系 === 102 === Residential interior decoration is the most common renovation project nation-wide, inherently containing various problems, in which one major concern is budget distribution. In the past, budget allocation of interior decorations is generally made by the consume...

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Bibliographic Details
Main Authors: Yi-Fu Chuang, 莊倚福
Other Authors: Shu-Shun Liu
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/43442722438644016853
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Summary:碩士 === 國立雲林科技大學 === 營建工程系 === 102 === Residential interior decoration is the most common renovation project nation-wide, inherently containing various problems, in which one major concern is budget distribution. In the past, budget allocation of interior decorations is generally made by the consumer’s decision on whether to take on the manufacturer’s on-site evaluation. While making a decision, there are a variety of factors of which influence will increase the difficulty of making a decision. Therefore, budget allocation decisions have to satisfy consumer preferences and have the appropriate allocation of budget to be a useful basis on how to distribute budget. This makes choosing an effective decision-making approach an important issue. Making decisions on budget allocation is a knapsack problem, within the limits of the knapsack problem, the greatest degree of preferences is used for planning. Its purpose is to achieve balance between preference and the budget allocation of interior decoration. However, consumers lack information on the options of interior decoration from the start, and some options might even be unclear to them. So if we use the importance of each option that the consumer takes as the expected budget allocation ratio. It is necessary to notify and explain the contents and expenses of each option to the consumer, so as to understand a more precise preference of the consumer. With the preferences of the consumer in addition to the expected budget allocation, it results in a satisfied consumer with optimal budget allocation. This study adds different budget constraints to residential building cases. The results show that the study model can be flexibly adjusted according to different consumer needs and budget constraints, which can address the problem with interior decoration budget allocation more efficiently.