Abstract
User’s perceptual demands for products usually show “multi-dimensional, multi-level, dynamic, and ambiguous” features. Emotional words and phrases are often used by users to express their perceptual demands for products. In this paper, the dynamic intuitionistic fuzzy multi-attribute decision-making method is adopted to establish the hierarchy of demands. The correlation measure of intuitionistic fuzzy sets is used to calculate the correlation between the perceptual demand set and the semantic set with emotional expressions. Mapping the results to target users’ typical characteristics, we can acquire the users’ hierarchy of demands to designed products. Taking the design of a headset as the case, product perception evaluation experiments and relevant data analysis of 10 different design plans are carried out to clarify the ideal product’s “position” in the semantic space of typical user group. The hierarchy of perceptual demands of users to the headset is successfully established, which proved the feasibility of this method.
Highlights
The growing update frequency of consuming goods, to some extent, has encouraged the individualized perceptual demands of consumers for products[1]
Diagnosis was carried out to Pi=(1,2,3,4,5,6,7,8,9,10) by the correlation measure Equation (1)and the correlation weight( Yi, ωωi )between sentimental demand and user characteristics the results shown in Table 4 in detail
In terms of the users’ intricate perceptual demands when they are facing products, the study adopted intuitionistic fuzzy multi-attribute decision-making approach to rank the perceptual demand of users and find “ MRj ”, the emotional semantic axis
Summary
The growing update frequency of consuming goods, to some extent, has encouraged the individualized perceptual demands of consumers for products[1]. Further studies should be carried out to explore the hierarchy of multi-dimensional perceptual demands[5], and users’diversified but correlated demands make design even harder. A dynamic intuitionistic fuzzy multi-attribute decision-making method[6] is proposed in this study to rank users’ diversified perceptual demands, establishing the hierarchy of their demands. The correlation measure of intuitionistic fuzzy sets is used to analyze the semantic correlation of users’ multi-dimensional perceptual demands. Classifying the result of sematic correlation in accordance with typical users’ characteristics, we will work out a direct description of users’ comprehensive and dynamic perception to design plans, ensuring the scientificity and reliability of the evaluation to product design based on users’ perceptual demands
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