Extension of Paraconsistent Many-Valued Similarity Method to Group Decision

The Paraconsistent Many-Valued Similarity (PMVS) method for multi-attribute decision making will be incomplete as a decision model if it is not extended to the realm of group decision-making. Therefore, in this article, our primary objective is to show how the paraconsistent many-valued similarity method can be used to solve group decision-making problems involving choice making or ranking of a finite set of decision alternatives. Moreover, since weights are very important parameters in multi-attribute decision-making, we have introduced the Borda rule to calculate the weights of experts and that of every criterion under consideration. To demonstrate how the proposed method works, a numerical example on energy sources of an economy from the points of view of a group of experts is investigated. Further, we compare the results of this new approach with that of fuzzy TOPSIS group decision-making method to illustrate the robustness and effectiveness of the former.

Relative accuracy of spatial predictive models for lynx Lynx canadensis derived using logistic regression-AIC,multiple criteria evaluation and Bayesian approaches

We compared probability surfaces derived using one set of environmental variables in three Geographic Information Systems （GIS） -based approaches： logistic regression and Akaike＇s Information Criterion （AIC）, Multiple Criteria Evaluation （MCE）, and Bayesian Analysis （specifically Dempster-Shafer theory）. We used lynx Lynx canadensis as our focal species, and developed our environment relationship model using track data collected in Banff National Park, Alberta, Canada, during winters from 1997 to 2000. The accuracy of the three spatial models were compared using a contingency table method. We determined the percentage of cases in which both presence and absence points were correctly classified （overall accuracy）, the failure to predict a species where it occurred （omission error） and the prediction of presence where there was absence （commission error）. Our overall accuracy showed the logistic regression approach was the most accurate （74.51%）. The multiple criteria evaluation was intermediate （39.22%）, while the Dempster-Shafer （D-S） theory model was the poorest （29.90%）. However, omission and commission error tell us a different story： logistic regression had the lowest commission error, while D-S theory produced the lowest omission error. Our results provide evidence that habitat modellers should evaluate all three error measures when ascribing confidence in their model. We suggest that for our study area at least, the logistic regression model is optimal. However, where sample size is small or the species is very rare, it may also be useful to explore and/or use a more ecologically cautious modelling approach （e.g. Dempster-Shafer） that would over-predict, protect more sites, and thereby minimize the risk of missing critical habitat in conservation plans .

Application of Multiple Evaluation in Art Classroom Teaching in Rural Primary Schools

With the reform and development of China's primary school art education,the art teaching activities have obtained constant improvement,and the multiple evaluation of art teaching plays an important role in the process of art teaching.Based on the current situation of the evaluation of art classroom teaching in rural primary schools,this article uses diversified evaluation methods,multi-dimensional evaluation subjects and multiple evaluation contents to change the traditional and single primary art classroom evaluation method,to strive to improve the quality of art classroom teaching and stimulate students'learning interests and adapt to the development needs of students with different personalities.

An Introduction to The Construction of English Multiplex Teaching Evaluation System in Secondary Vocational Schools

In view of the current situation that the evaluation mode of English Teaching in secondary vocational school is still dominated by the summative evaluation,the new evaluation mode,the multiple evaluation system,is applied to the English teaching practice of secondary vocational school in the form of experiment,and the situation of studentst learning strategies,autonomous learning,interest in learning and English level after the implementation of the multiple evaluation system is analyzed.The results show that the multiple evaluation system of English Teaching in secondary vocational school has a positive impact on studentst English learning strategies,learning autonomy and learning interest,and also plays a certain role in promoting the improvement of students’ overall English level.

A Ship Officer Performance Evaluation Model Using Fuzzy-AHP

A ship＇s crew plays an important role in the maritime transportation sector and their performance is paramont in the shipping industry. On this account, an impartial evaluation of the crew＇s performance is an important issue. In this paper, the ship officer＇s performance evaluation problem is studied. The performance evaluation criteria that shipping companies take into account are determined and a performance evaluation process is modelled by using the FAHP （Fuzzy Analytic Hierarchy Process） based on Chang＇s Algorithm. Linguistic variables and fuzzy numbers are used in the assessment process. The results of the proposed model demonstrate that the FAHP method is effective and helps managers make better and more reliable decisions under fuzzy circumstances.

Application of KDQOL-SF^(TM) 1.3 version in evaluating quality of life of maintenance hemodialysis patients in multiple centers

Objective To understand the quality of life(QOL)and its influencing factors in maintenance hemodialysis patients(hemodialysis maintenance,MHD),and to provide theoretical basis for improving QOL of patients.Methods A cross-sectional study was conducted in the blood purification centre in 8 hospitals in Hefei,and patients’clinical data were collected.KDQOL-SF self-ad-

A Reputation Evaluating Model for Non-Government-Run Scientific Research and Technical Service Organizations

This paper presents a reputation evaluating model for non-govemment-run scientific research and technical service organizations of China. The model is composed of quantitative and qualitative factors, fuzzy comment set and weight vector. The fuzzy judgement technique is applied in the model. The application of the model is also demonstrated in the paper.

The weight distributions of a class of non-primitive cyclic codes with two nonzeros

Recently, a class of non-primitive cyclic codes with two nonzeros have received much attention of researchers and their weight distributions have been obtained for several cases of two key parameters related to the nonzeros. In this paper, by evaluating certain Jacobi sums, we determine the weight distributions of this class of cyclic codes for one more special case.

Research on Teaching Evaluation of Courses Based on Computer System Ability Training

The courses based on computer system ability training has its particularity of training objective.To achieve objective feedback of teaching,a multi-subject and multi-dimensional hierarchical teaching evaluation system is proposed based on the analysis of computer system ability training objectives.Then,the teaching content,implementation,learning experience and teaching effect were evaluated by supervisors,colleague teachers and students.Finally,the multi-dimensional evaluation results show that the evaluation system proposed is effective and provides a reference for teaching evaluation.