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Regression analysis, which is an effective tool of scientific prediction and management, is an important branch of statistics. According to the analysis of the current regression, we establish a quasi-linear regression model (QRM) based on the concept of quasi-linear function. Then, we got the solution of QRM by combining with genetic algorithm (GA). And its characteristic is proved through an example...
Decision tree, as an important classification algorithm in data mining, has been successfully applied in many fields. In this paper, based on the analysis of the essential characteristics of decision tree algorithm, we give a leaf criterion for multi-decision values of decision attribute, and establish a mathematical model for the selection for expanded attributes; also we give a concrete model based...
Interval number, as a simple description of the uncertain information, is a widely used signal processing tool in many actual programming problems. Therefore, the ordering of interval numbers is the key to solve programming problems. In this paper, based on the structural property of interval numbers, by distinguishing principal indices and secondary indices, we put forward a compound quantitative...
To advance the machinery performances, obviously the intelligent decision-making technologies will bring into play the significant power. Aimed at knowledge acquisition bottleneck, in the paper to take rough set theory (RST) as a knowledge discovery tool and resolve the puzzle was explored. Both the tool's principle and its application way in machinery engineering were investigated. A novel knowledge...
Decision tree, as a simple classification algorithm, is an effective tool for mining knowledge rules, and it has been successfully applied in many fields. Based on the selection problems of the expanded attributes, we put forward quasi-linear leaf criterion and data utilization criterion which can recognize the extension ability of attributes, and give a selection model of expanded attributes based...
Decision tree, as a simple classification algorithm, is an effective tool for mining knowledge rules, and it has been successfully applied in many fields. Based on the analysis of the essential characteristics of decision tree algorithm, for the selection of the expanded attributes, we put forward leaf criterion; data utilization criterion and comprehensive effect criterion which can recognize the...
This paper focuses on fuzzy multiple-attribute decision with weights unknown and fuzzy information. Starting from the structural feature of fuzzy information, we propose the compound quantification description mode based on centralized quantification value, and establish a fuzzy information comparison method based on synthesizing effect. Through real case, all the results indicate that the fuzzy multiple-attribute...
The water resources vulnerability (WRV) is defined as the characteristics that water resources system easily suffers damage from natural factors or human activities, and it is difficult to recover to its former status once this damage happens. The quantitative assessment of the WRV is important for the scientific decision-making for the sustainable water resources exploitation and utilization. In...
By means of the essential notions in rough set theory, to partition a special universe U into the different knowledge particles sets is investigated. A novel granularity calculation model is built out. It makes use of the different division rules to partition the same U. The relations reflected in the different knowledge particle sets show as important information. It is that knowledge inclusion relations...
Aiming at improving respective shortcoming of target immunization and acquaintance immunization strategy, we present an immunization strategy which consists of two steps: choosing some node randomly and then adopting strengthened acquaintance immunization or improved target immunization according to different circumstances. This synthesis strategy retains the advantage of making decision based on...
In making decision, fuzzy information should be filtered to strengthen or weaken the influence of some factors according to some decision consciousness. An axiomatic system for fuzzy information filter operators is put forward after analyzing the essential feature of the existing filter methods. A general way to establish a fuzzy information filter operator is given, and the applications of filter...
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