時(shí)變論域下區(qū)間二型模糊集合的在線評(píng)論分析
[Abstract]:Online comments not only reflect the current concerns of consumers in real time, but also convey the rational cognition of the purchase process and goods in real time and accurately as the feedback of the purchasers. It can provide potential buyers with more useful reference points for risk perception; this will bring more convenient help to consumers. In this paper, the dynamic fuzzy rules and word calculation of shop goods based on the analysis of comment language are established by expressing the comment language by interval two fuzzy sets under the time-varying domain. The fuzzy clustering analysis method is used to classify the content contained in the keywords of online comment language. The richness of language comment vocabulary is simplified, and the factor set of target object is established by this method. Then, the discrete time-varying domain is used to describe the online store goods, and the two-type fuzzy set is used to express the base words to analyze the online comments, which is considered comprehensively from two aspects: the keywords of the online comment text are the language and the specific numbers. Determine the interval type 2 fuzzy set of each factor set of the present situation of business store commodities. The fuzzy comprehensive evaluation method and linguistic power system theory are used to dynamically evaluate the present situation of the same kind of goods in different stores, and the two-type fuzzy set is used to express the present situation results of the same kind of goods obtained from the online review and analysis. Finally, based on the continuous interval two-type fuzzy set, the online comments are analyzed, and the evaluation of the present situation of business stores and the improvement model of measures are established. Set the expected goal of the control object, according to its fuzzy rules and its word calculation, determine the interference or improvement measures that can be referred to, form the closed-loop control, obtain the expected language dynamics trajectory, and complete the target control task. And applied to the online store status quo improvement measures to determine the research. In this paper, a method of interval two fuzzy set is proposed to model and analyze online comments. In the current environment, it brings more convenient, effective and direct decision-making basis for customers, and provides a reference for businesses to make more reasonable improvement programs. Because of the fuzziness of online comment language, people's criteria for evaluating things will also change with the change of time. Therefore, dynamic fuzzy rules and their time-varying domains are more suitable for solving language evaluation problems. At the same time, due to the variable real-time performance of time-varying domain, the adaptive ability of the method is enhanced and the reasoning is more accurate.
【學(xué)位授予單位】:長(zhǎng)沙理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:F724.6;TP391.1
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