A sequential fitting procedure for linear data analysis models

A particular factor analysis model with parameter constraints is generalized to include classification problems definable within a framework of fitting linear models. The sequential fitting (SEFIT) approach of principal component analysis is extended to include several nonstandard data analysis and classification tasks. SEFIT methods attempt to explain the variability in the initial data (commonly defined by a sum of squares) through an additive decomposition attributable to the various terms in the model. New methods are developed for both traditional and fuzzy clustering that have useful theoretic and computational properties (principal cluster analysis, additive clustering, and so on). Connections to several known classification strategies are also stated.The author is grateful to P. Arabie and L. J. Hubert for editorial assistance and reviewing going well beyond traditional levels.     

Fuzzy值函数的线、面积分及其性质

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利用模糊数学的理论，对大学生的综合素质进行科学评价，同时应用 Ｖｉｓｕａｌ Ｆｏｘｐｒｏ编程技术开发系统软件实现了评价工作的自动化．     

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Simulation Modeling by Fuzzy Nets

Fuzzy technology is a newly developed discipline based on fuzzy mathematics. In the recent years, it has been successfully applied into many areas, such as process control, diagnosis,evaluation, decision making and scheduling, especially in simulation where accurate mathematical models can not or very hard be established. In this paper, to meet the demands of fuzzy simulation, two fuzzy nets will first be presented, which are quite suitable for modeling the parallel or concurrent systems with fuzzy behavior. Then, a concept of active simulation will be introduced, in which the simulation model not only can show its fuzzy behavior, but also has a certain ability which can actively perform many very useful actions, such as automatic warning, realtime monitoring, simulation re-sult checking, simulation model self-adapting, error recovery, simulating path tracing, system states inspecting and exception handling, by a unified approach while some specified events occur. The simulation model described by this     

模糊同态与模糊同态基本定理

利用模糊映射，给出群的模糊同态概念，研究了模糊同态的一些性质，并得到了模糊同态基本定理。     

灰色理论对我国速滑成绩提高因素的研究及在训练中的应用

应用灰色系统理论对我国女子速滑成绩提高各因素进行系统分析和研究,能较为准确地揭示各因素在专项成绩中应占的地位和作用,并为今后的科学训练提供决策依据。此研究方法可以弥补数理统计方法的不足,为科学地安排和控制运动训练全过程,提高速滑成绩,提供一种新的科学研究方法。     

Poointwise fuzzy almost groups

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二型Fuzzy集代数结构的若干性质

本文指出了文[4]的一个错误,改进了此文中的一个结果。此外,我们还得到了关于二型Fuuy集的许多有用的代数性质。