An algorithm for knowledge acquisition of uncertain decision -making based on rough sets theory
MA Rui
Abstract：Rough sets theory is a mathematical tool to deal with incomplete and indefinite knowledge , which can effectively analyze and deal with inaccurate , inconsistent and incomplete information , find hidden knowledge and reveal potential rules .In view of the problems of redundancy of decision knowledge and inefficiency of deci-sion-making , this dissertation studies the knowledge reduction algorithm and decision -making rules acquisition method based on rough sets theory .Firstly, we study the theory of rough sets theory and the theory of knowledge acquisition, including knowledge and knowledge base , knowledge expression system , the relationship between kernel and acquisition .Secondly , we study the algorithm of attribute acquisition , including the importance of at-tribute, attribute acquisition algorithm and the definition of attribute acquisition algorithm and its mathematical model, and give the steps of attribute acquisition .Finally, taking the software maintenance and decision table as an example , according to attribute acquisition steps , attribute acquisition and attribute value acquisition , the fea-sibility and effectiveness of the algorithm and the method for obtaining decision -making rules are verified through case studies .The results show that using rough sets theory to reduce knowledge can simplify complicated system, eliminate redundant knowledge , get concise expression of knowledge base and effectively maintain the structure and function of knowledge base .
Keywords：rough setsuncertain decision -makingknowledge acquisitiondecision-making rule
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 378-384 )