模糊综合评判的神经网络方法在损害分析中的应用

本文针对反倾销中损害案件的调查,在满足法律条文规定的基础上,采用模糊综合评判的神经网络方法,优化损害和损害程度的综合评判模型中企业经营指标的评判指标权重,进而采用优化后的权重进行损害和损害程度的综合评判.使评判过程和结果更加具有科学性,也使反倾销损害调查的裁决更加具有公共性和透明度.此方法对政府有关部门裁决倾销和反倾销案件有一定的辅助决策.     

以模糊评判为基础的大学生素质BP神经网络模型

文章建立了大学生综合素质评价的指标体系，并利用模糊数学多级综合评价的原理，对大学生的综合素质进行模糊评判。同时，利用评判结果建立了误差反传的BP神经网络模型，并在该模型中引入非模糊评判的教师对，该模型克服了模糊评判时权重的不可改变性，实现了素质评价指标和大学生综合素质的非线性映射。计算结果表明：该神经网络模型具有一定的合理性和实用性。     

数控铣削模糊控制系统的研究

为充分发挥数控机床的加工潜力和提高切削效率，作运用模糊控制方法研究了铣削加工过程的模糊自适应恒功率控制系统，并通过计算机仿真验证了控制方案的可行性；设计了系统的硬件和软件：进行了联机实验。实验结果表明，系统工作稳定可靠，平均可提高加工效率达20％以上。     

《红楼梦》中模糊语言及其翻译中的隐含的语用分析

《红楼梦》中关于人物描写的模糊语言比比皆是。通过分析其语用隐含来论证在模糊语言翻译中、尤其是模糊语言文学翻译中获得语用隐含的对等是达到人们所期望的“对等”翻译的一个重要方面。     

The effect of adaptivity on the reliability coefficient in adaptive comparative judgement

Comparative Judgement (CJ) is an increasingly widely investigated method in assessment for creating a scale, for example of the quality of essays. One area that has attracted attention in CJ studies is the optimisation of the selection of pairs of objects for judgement. One approach is known as adaptive comparative judgement (ACJ). It has been claimed in the literature that ACJ produces very high reliability, often higher than can be obtained by conventional marking. Bramley showed by simulation that adaptivity can substantially inflate the apparent reliability in ACJ. The empirical study described here compared an adaptive with a non-adaptive CJ study using GCSE English essays. An all-play-all set of comparisons of a subset of the essays allowed the extent of scale inflation to be quantified: the reported adaptive reliability was 0.97 whereas the deflated value was 0.84. The value from the non-adaptive study was 0.72. However, the scale from the non-adaptive study correlated slightly higher with external variables, suggesting the non-adaptive study was no less valid than the adaptive one.     

关于语义范畴模糊性的思考

结合认知语言学原型范畴理论和模糊集合理论,探讨语义的模糊性。分析语义范畴模糊性背后的认知理据,并对范畴外延不确定性、语义交集现象、模糊分界的相对性以及模糊语义扩大的方向性等问题进行思考。     

Fuzzy Comprehensive Assessment Method to Determine Tectonic Stress Patterns

The tectonic stress patterns were determined by a fuzzy comprehensive assessment method. Data of in-situ survey and fault information were utilized in the method. First, by making pressure and tension in the directions of along-river, cross-river, shear clockwise, and shear counterclockwise , 26 types of tectonic stress patterns were presented. And the stress vector of each pattern was obtained with FE software by taking unit displacement as boundary load. Then, by taking the 26 types of tectonic stress patterns as index set and 3 main stresses as factor set and choosing various operators, comparison of directions of computational stress vector and survey stress vector was made and the most possible tectonic stress pattern was obtained. Taking the 26 types of tectonic stress patterns as index set and strike angle as factor set, comparison of relationships between formation of fault and tectonic stress was made,and the tectonic stress patterns were assessed with known fault information. By summarizing the above assessment results, the most impossible tectonic stress pattern was obtained . Finally an engineering case was quoted to validate that the method is more feasible and reliable than traditional empirical method.     

模糊控制器的一种在线插值算法

普通模糊控制器引入在线插值算法,改善了普通模糊控制器的稳态性能,消除了普通模糊控制器的调节死区.     

基于模糊变权法的《动车组结构及原理》教学模式改革评价

文章以《动车组结构及原理》课程为例,结合模糊层次分析法和变权综合法提出一种基于模糊变权法的教学模式改革评价方法。该方法有效降低各评价因素权重的主观性,更好地反映改革的整体评价结果,对同类课程的教学模式改革具有一定的借鉴意义。     

Shapley值的模糊估计方法

研究了在多人合作分配方案问题中条件信息不完全的情况下,缺失条件的模糊估计,给出了在信息条件不明确时的Shapley值分配方案估计算法,并以模糊粒子观点一般化Shapley值表达式.