Study On Intelligent Aggregation Of Multi-Evaluation Space With Application To Sensory Evaluation

In the competitive day of global market, the main work of many companies is to order the R&P only around consumer's preference. Sensory evaluation, as a powerful tool in mining customer's demands, is often used in quality assurance, and to build customer-oriented and customer-centred market. The sensory evaluation has become the hot point of research. In this situation, we systematically study sensory evaluation to solve the problems and difficulty in classic sensory study. The term of information fusion refers to the process of correlating and associating data from various sources in order for the information to be presented in a single view. In the paper, we generally analyze objective sensory evaluation, subjective evaluation, and evaluation system with several mathematical algorithms, to offer a whole evaluation to satisfy with the requirements of market.In the thesis, we apply concerned theories and mechanisms of multi-source information fusion technology to analyze the sensory evaluation. Our main work includes bringing forward an intelligent information fusion system for sensory evaluation, studying on sensory evaluation fusion algorithms, and finally implementing them.Firstly, we investigate the development of sensory evaluation, including basic conceptions and components of evaluation system, and how the mathematical methods to be used in analyzing sensory evaluation. Moreover, we briefly introduce multi-source information fusion technologies, including its principle, method and application fields. Multi-source information fusion technology is useful for designing and analyzing information fusion models for sensory evaluation.Secondly, we propose 2-level structure of sensory evaluation, then define the Design-Oriented Sensory Evaluation and the Market-Oriented Sensory Evaluation. And, we analyze the inner structure of two types of evaluation and the difference between them. We abstract four essential elements in the context of sensory evaluation space and presented the subdivision of each element by using the format of set expression. Based on it, we put forward the whole model of sensory evaluation fusion system, as well as its sub-models. Then the function of individual model and the relationship among them are explained.Again, in the objective data evaluation model, we use kernel clustering and immune clustering to aggregate physical parameters of fabric, and compare the clustering results.Next, we treat with the sensory date by the model of Sensory Data Aggregated Model, in which a new linguistic 2-tuple fuzzy model based approach is proposed for evaluating fabric. Then, we analyze these data with intelligent technology and use fusion operator to implement aggregating the subjective data of experts. And, the expert panel and evaluation terms are analyzed with these models.After that, according to the designed principles of consumer questionnaire and taking the characteristics of MOSE in mind, we design a questionnaire for fabric hand evaluation to get large numbers of consumer sensory information; and use expert system to build a judgement relationship between sensory evaluation and fabric kind. Based on the above work, we develop the sensory evaluation fusion system, where Java language is used to compile the program, SQL is used to manage the data system, and FrontPage is used to make Web page.Finally, a summary of the thesis is made, and the deficiency in the project and the further development are narrated respectively.