Application of Multivector Algebra in Real Space-time to Set Pair Analysis

The contact number is an important mathematical tool of systems theory and methods in the monograph Set Pair Analysis and Its Preliminary Applications written by Zhao Keqin for unitizedly processing the uncertainties due to the fuzzy, stochastic, intermediate and information uncomplete about something. The article applies the multivector algebra which is isomorphism with the real Dirac algebra in the real space-time adopted by Venzo de Sabbata to the contact number of set pair analysis, and consequently, the contact number is generalized correspondingly.     

Application of Attribute Reduct Method in Spatial Load Forecasting

Spatial load forecasting is a process distributing the total forecasted load to all partitioned area, and involving more spatial information and more factor influencing application of the future small area, which need a great deal of memory space and longer operation time. Rough set is new method of data analysis. It need not be provided with any advanced information except data set. But attribute reduct is its main algorithms. Division matrix approach on rough set used to reduce the attribute related to land - use decision in order to remove redundancy attribute and then the rules of small area land - use decision is distilled. The method obtained better effect and enhanced the total load forecasting efficiency.     

Improved Genetic Algorithm and Its Application in TSP

Crossover operator and mutation operator are basic operators of genetic algorithm , which play important roles in improving the quality of the solution populations. We propose the improved crossover operator , mutation operator and rotation operator on the basis of good point set with the traveling salesman problem , the experimental result shows these operators are very efficient.     

New Algorithms for Data Discretization Based on Rough Set Theory

The discretization of real values is always one of the key problems to be solved in the domain of machine learning for its great contribution to speeding up the followed learning algorithms, cutting down the real demand of algorithms on running space and time, and improving the clustering capability of the ultimate learning results. The basic characteristics and framework of discretization approaches based on rough set model are analyzed at first, then the different measurements of the importance of candidate cuts are discussed and researched. Two new heuristic algorithms are put forward to finally select the useful cuts from a candidate set. The selected cuts of the two algorithms will adequately maintain the discernible relation of information systems for their full considering the specialty of rough set, which perfectly embodies the advantages of this theory. Moreover, excellent discretization results may be expected through these heuristic algorithms.     

Determination to Weighting Coefficient of Combination Forecast Based on Rough Set Theory

The problem of determination to weighting coefficient is a key and difficulty for combination forecast. A method of determining weighting coefficient based on rough set theory is showed in this paper. Determining weighting coefficient is translated into estimating significance of attributes among rough set. A relation data model about combination forecast is established. Knowledge systems are built through making attribute value into eigenvalue. Under data moving, the weighting coefficients of a combination forecast model are computed by analyzing the dependence and significance of forecasting method for the predicted object. The proposed approach overcomes the subjectivity of traditional determination to weighting coefficient, avoids computing linear or nonlinear extremum problem and makes combination forecast more objective. The validity of the proposed approach is verified with a case.     

THE EXISTENCE OF APPROXIMATE EXTREME POIKTS OF CONSTRAINED OPTIMIZATION

According to the theories o?Riemannian manifolds and variational principles, two theorems about the existence of approximate extreme point of constrained optimization are given in this paper.     

Preparation of Electrochromic and Transparent Film of Polyaniline

The preparation method of transparent film of electrochromism polyaniline on the glass supporter is studied by a dipping polymerization. The electric and optic properities of the resulting film are measured as a function of oxidant,dopant,reaction time and temperature.The optimum technology term is obtained in the normal atmospheric temperature.The experimental result is testified by fuzzy set theory.     

Application of Matter Element Analysis in Assessment of Ambient Air Quality

A new method for assessment of ambient air quality is proposed by using matter element analysis.This model is simple and reasonable in assessment.The practical example is given,and compared with other methods.     

油初始坐果机制研究

以成年油木奈树为材料,对其初始坐果进行了研究。结果表明,盛花后2周内,油木奈出现大量的落花落果;幼果(子房)低水平的GA1 3与油木奈的落花落果高峰关系密切,而内源细胞分裂素ZRs和[diH]ZRs以及ABA与幼果(子房)的生长呈显著的正相关;初始坐果期,油木奈的雌配子体发育缓慢,且有相当数量的胚囊中途退化、败育,无法正常受精,从而导致其大量的落花落果。文中就油木奈的初始坐果机制进行了讨论。