首页> 中文期刊> 《林业科技开发》 >基于'信息熵-TOPSIS'的竹质品设计认知决策研究

基于'信息熵-TOPSIS'的竹质品设计认知决策研究

         

摘要

我国是竹林资源最为丰富的国家,也是竹质品生产制造和出口的大国,竹林培育与竹质品的加工与研发一直处于世界的前列,目前,我国竹产业已经形成了一二三产融合发展的绿色朝阳产业链.而在具体的竹质品开发设计过程中,意象感知评价和决策是一个十分复杂的问题,有效匹配消费者的意象认知需求是企业和设计师面临的重要任务,因此,建立科学的意象决策方法具有重要的现实意义.针对如何有效进行竹质品的认知决策问题,笔者提出了基于信息熵-TOPSIS的竹质品设计意象认知决策方法.以竹质水杯方案决策为例,首先,采用语义差异法和因子分析获取水杯产品的意象认知维度;其次,针对具体的竹质水杯设计方案,以获取的多维度认知意象为评价指标,通过意象认知实验得到用户的意象认知情况,并将评价值规范化处理;再次,运用信息熵法计算各意象指标的熵值,并进一步计算出各自的熵权,即各维度认知意象的权重;最后,应用TOPSIS计算各设计方案与各维度理想解、负理想解的距离,最终得到每个竹质水杯方案接近度,从而获得方案的优劣排序,确立最优方案.决策过程充分利用初始调查的数据信息,能直观、客观、定量地反映每个方案的优劣程度,实用性与适用性较好,为企业和设计师提供了一种新的竹质品设计认知评价与决策方法.%China, with rich bamboo resources, is the main bamboo product maker and exporter in the world, and is the leading country in bamboo cultivation and bamboo product development. It has currently formed a green and emerging bamboo industry integrating bamboo cultivation, production and consumption. In the process of the design and devel-opment of bamboo products, image cognition evaluation and decision-making is a very complicated problem, and how to effectively match the emotion requirement of consumers is an important task for enterprises and designers. Thus, the establishment of scientific image decision-making method has great practical significance. To make the cognitive deci-sion-making in bamboo product design effective, an image cognitive decision-making method based on comentropy and TOPSIS was proposed in this study. Taking bamboo cup for example, the image perception dimension of the cup was first obtained through semantic differential method and factor analysis. Secondly, for the specific bamboo cup, the multidimensional perception image was chosen as the evaluation index;the user's image perception degree was ac-quired through image perception test;and the evaluation data was standardized. Thirdly, the entropy of each image perception index and its weight were calculated. Finally, based on TOPSIS, the difference between each bamboo cup design and the ideal and negative ideal solution of image perception index was computed. The proximity of each bam-boo cup design was then obtained. Therefore, the bamboo cup designs were ranked and the optimal design was deter-mined. The initial investigation data were fully used in the decision-making process, and the rank of bamboo cup wasintuitive, objective and quantitative. This method provides a new bamboo design perception evaluation and decision-making method for enterprises and designers, and has wide potential applications.

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