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To meet the needs of desire of using natural language to describe data analysis, this paper combines ideas of both fuzzy query language and linguistic summaries, introduces fuzzy set theory and presents a more powerful algorithm based on relational database, which can find fuzzy rules among crisp data. As a result, an automatic fuzzy rule extraction system is developed, which can support users extract...
To deal with attribute reduction in incomplete information systems, this paper proposed a direct method of attribute relative reduction based on rough set theory. This reduction algorithm gives the concept of tolerance relationship similar matrix via extending equivalence relationship of rough set theory, which is called tolerance relationship. It introduces the generalized decision function to solve...
Evaluating and selecting electric equipment suppliers practically, effectively and reasonably can control the quality of power plant runs. On the basis of analyzing existing appraising method for supplier selection, this article builds up a comprehensive evaluation index system for electric equipment suppliers. AHP for determining criterion's weight is expounded, and then the appraisal and selection...
SPA linking number connects the measure functions of the various aspects of a certain study object. By taking full advantage of the information provided by SPA linking numbers on which it's based, system tendency sequencing could be used to replace the max-min algorithm in fuzzy comprehensive evaluation to avoid information loss caused by the algorithm, thus resulting in a much more reliable evaluation...
The paper combines and extends the technologies of fuzzy sets and association rules, considering users' differential emphasis on each attribute through fuzzy regions. A fuzzy data mining algorithm is proposed to discovery fuzzy association rules for weighted quantitative data. This is expected to be more realistic and practical than crisp association rules. Discovered rules are expressed in natural...
Association rules method is important in mining large sets of data, but there are often many meaningless rules discovered, which affects the algorithm's efficiency, moreover, the presentation of rules is not easy for users to understand. User guide often works during association rules mining procedure. This paper presents a user-guided association rules mining method, considering users' differential...
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