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The tactile assessments on a set of men's suitings were conducted by an expert panel according to the standardized techniques and processes. Based on the obtained sensory data, a hybrid model integrating the use of fuzzy set theory and genetic algorithms was then developed to study the fuzzy relations between various sensory components and the total fabric hand. In this method, fuzzy comprehensive...
Existing clustering ensemble algorithms for partitioning categorical data only apply to know the generating process of clustering members very well. In order to broaden the application of clustering ensemble, a fuzzy clustering ensemble algorithm for partitioning categorical data is proposed in this paper. The proposed algorithm makes use of relationship degree between different attributes for pruning...
With the development of e-commerce and internet, the retrieval and reuse methodology of a great deal of faults diagnosis and treatment case knowledge in databases of remote center is a key technology in remote diagnosis and e-maintenance. In this article, firstly, the basic method and shortcoming of retrieval mechanism of CBR system is analyzed. The Manhattan distance and fuzzy method based similarity...
With regard to group decision making (GDM) problems based on multigranularity interval linguistic, we propose a new consensus method for GDM. Firstly, we transform information of multigranularity interval linguistic into information of fuzzy set in basic linguistic term set, and aggregating these values we obtain group assessment value. Secondly, a consensus mechanism guide experts to adjust their...
The paper firstly introduces the characteristics of higher vocational research oriented courses, and analyzes the deficiency of the common methods used for evaluating the quality of the courses at present. Based on this, more scientific, comprehensive and objective multi-level fuzzy comprehensive evaluation method based on fuzzy theory is brought forward. At the same time, aiming at the characteristics...
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