A new method for rules reduction to fuzzy attribute information systems is presented in this paper. Themethod gives a technique to treat continue attribute problem and a practical program scheme. Besides, the paper de...A new method for rules reduction to fuzzy attribute information systems is presented in this paper. Themethod gives a technique to treat continue attribute problem and a practical program scheme. Besides, the paper de-velops fuzzy theory with the technique of probability.展开更多
In recent years, due to its practical use in knowledge discovery and data mining, the research for rules reduction is becoming more important aspect of computer science. Based on rough set theory, a method of rules re...In recent years, due to its practical use in knowledge discovery and data mining, the research for rules reduction is becoming more important aspect of computer science. Based on rough set theory, a method of rules reduction for Dynamic Knowledge Systems is proposed in this paper. The experiments show the method is effective.展开更多
The paper draws comparison and analysis among present similarity measure methods in the case of similari-ty measures between Vague values, provides a new similarity measure method, of which discusses on the normalchar...The paper draws comparison and analysis among present similarity measure methods in the case of similari-ty measures between Vague values, provides a new similarity measure method, of which discusses on the normalcharacteristics, gives some relative character theorems. At the same time, it analyzes the application of fuzzy similari-ty measures in vague similarity measures and gives its normal forms such as similarity measures between Vague sets,between elements and their weighted similarity measures. Finally, vague entropy rule respectively aiming at twokinds of cases is approached and its corresponding vague entropy expressions is provided. The content of this paper isof practical significance in such fields as fuzzy decision-making, vague clustering, pattern recognition, data miningetc.展开更多
文摘A new method for rules reduction to fuzzy attribute information systems is presented in this paper. Themethod gives a technique to treat continue attribute problem and a practical program scheme. Besides, the paper de-velops fuzzy theory with the technique of probability.
文摘In recent years, due to its practical use in knowledge discovery and data mining, the research for rules reduction is becoming more important aspect of computer science. Based on rough set theory, a method of rules reduction for Dynamic Knowledge Systems is proposed in this paper. The experiments show the method is effective.
文摘The paper draws comparison and analysis among present similarity measure methods in the case of similari-ty measures between Vague values, provides a new similarity measure method, of which discusses on the normalcharacteristics, gives some relative character theorems. At the same time, it analyzes the application of fuzzy similari-ty measures in vague similarity measures and gives its normal forms such as similarity measures between Vague sets,between elements and their weighted similarity measures. Finally, vague entropy rule respectively aiming at twokinds of cases is approached and its corresponding vague entropy expressions is provided. The content of this paper isof practical significance in such fields as fuzzy decision-making, vague clustering, pattern recognition, data miningetc.
