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Evaluation of teaching is one of the important items of the internal quality assurance system in many higher institutions in China. This paper aims to find a better method to make evaluation on teaching accurate as much as possible. It then provides a grey evaluation model of estimating the indicator system of teaching quality on the basis of the related reference, in which an evaluation methodology...
A major research within the multicriteria decision method field is focused on ranking the alternatives. Technique for order preference by similarity degree to ideal solution method is one of the methods for ranking the alternatives . The similarity degree is based on the distances of the alternative versus the two ideal solutions: positive ideal solution and negative ideal solution. This paper introduces...
Rough set theory as a new mathematical tool is used to deal with the imprecise, incomplete and uncertain knowledge for pattern recognition. In current information explosion era, the powerful functions of agricultural decision support system(ADSS) on assistant decision-making and rough set on information processing is becoming increasingly obviously, and have called people's attention. According to...
An extension of the pairwise comparison matrix is considered when some comparisons are missing. A generalization of the eigenvector method for the incomplete case is introduced and discussed as well as the Logarithmic Least Squares Method. The uniqueness problem regarding both weighting methods is studied through the graph representation of pairwise comparison matrices. It is shown that the optimal...
Traditional comprehensive evaluation methods have the problem of inconsistence between multi-evaluation conclusions. To solve the above problem, some researchers provide a multi-evaluation conclusion aggregation method based on singular value decomposition. However, due to the approximate process on ordinal matrix, the SVD-based aggregation method will lose the ordinal information of original matrix...
Status quo model is a graphic model to help complete strategic conflict analysis, which display the players' moving path on different states. In this paper, a deep analysis about states transition path is studied, using Markov chain and conflict resolution technique. The concept of virtual player is introduced whose transition probability matrix is derived from individual player in conflict system...
Regarding assessment level of experts in group decision making based on different granularity linguistic judgment matrices, the linguistic judgment matrices are quantified through constructing transfer function in this paper, the matrices are transformed into the reciprocal matrices with 1-9 scale, furthermore a method to assessment level of experts is proposed based on the theory of mathematical...
The decision-making of normal high water level of a reservoir is a complex and uncertainty problem. To avoid the qualitative and subjective defects of traditional decision-making methods, a novel method by means of fuzzy analytic hierarchy process (FAHP) combined with real coding based accelerating genetic algorithm (RAGA), is described in this paper. A fuzzy preferential relation matrix is established...
This paper presents a fuzzy logic based mobile intelligent system for effectively evaluating and selecting hotels. The uncertainty, subjectiveness and imprecision inherent in the human decision making process are modeled through the use of fuzzy numbers. A fuzzy relationship matrix between the characteristics of each hotel and the requirements of individual tourists is built leading to the use of...
A rough set theory is a new mathematical tool to deal with uncertainty and vagueness of decision system, and the Computation of a Core is one of the most important problems of rough set. This paper introduces an improved algorithm based on discernibility matrix by Yang, and proposes an incremental updating algorithm for Core Computation. The space and time complexity of the new algorithm are cut down...
Bayesian network (BN) is used to build a model using a probability distribution over a set of variables. The benefit of BN is the compact representation of complex problem domains. Also, BN provides decision making, smooth, consistent and flexible applicability in the complex domains. On the other hand, association rules are based on antecedent and consequent part which have condition attributes and...
In this paper, the authors have adopted the synthetic appraising model based on multi-attribute to select mining methods. They at first have deduced the boundary weigh coefficients of the sequencing variety about all the plans when weigh coefficients of arbitrary two norms are relatively varied considering the variation of appraising norms. Secondly, the value of boundary norm based on single norm...
AHP (analytic hierarchy process) has been widely used in decision making. Inner dependence method AHP is one technique even in case of criteria have dependency. However using original AHP or Inner dependence method, the results often lose reliability because the comparison matrix does not always have sufficient consistency. In these cases, fuzzy representation for weighting criteria and alternatives...
Neural network tree (NNTree) is a hybrid model for machine learning. Compared with single model fully connected neural networks, NNTrees are more suitable for structural learning, and faster for decision making. To increase the realizability of the NNTrees, we have tried to induce more compact NNTrees through dimensionality reduction. So far, we have used principal component analysis (PCA) and linear...
The key factors from complicated selecting system are found to solve supermarket location optimization problem. By introducing Decision Making and Trial Evaluation Laboratory (DEMATEL) methodology matrix calculation is used and then DEMATEL quantitative analysis through surveying diversified experts is finished to find the core driving factor and priority order of influencing factors. One supermarket...
Researchers of decision making have often shown that it is a complex process that a decision maker is quick and accurate at preferences structure or ordering when he was confronted multiple objectives, multiple criteria, and multiple alternatives. Before the enterprise shifts the operation to RFID, needs to carry on the simulation or the construction feasible deliberation and the appraisal first....
An algebraic approach is developed to calculate stabilities in two decision maker graph models with strength of preference. The original graph model uses ??simple preference?? to represent a decision maker's relative preference between two states. This preference structure includes only a relative preference relation and an indifference relation. Basic stability definitions, and algorithms to calculate...
This paper aimed to establish a method of risk assessment based on grey decision making. Based on the characteristics of IT projects' risk, the paper defined five main factors that influence the success rate of IT projects and mixed the total risk to a matrix. By applying the grey relational analysis to measure the matrix's grey relational grade, in terms of which we can establish the evaluation guideline...
This article mainly introduces the method of TOPSIS and describes in much detail the application of TOPSIS in seeking the optimum method of blended coal by confirming the weight of index with entropy. A blended coal combustion in power plant issue as an example, optimum method is selected under the condition that four aims and four kinds of blended coals. The method can combine qualitative analysis...
This paper studies the dynamic decision-making problem in the intuitionistic fuzzy environment. For the decision matrix composed by intuitionistic fuzzy numbers, the intuitionistic fuzzy priority rating model is established to determine the membership relation of each alternative to the excellent alternative set, which is also described by intuitionistic fuzzy number. Furthermore, based on the score...
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