Xiaoji Chen

Fuzzy Decision Analysis of the Software Configuration Management Tools Selection

Configuration management tool play an important role in software project management, it can solve a lot of problems which trouble the software project managers, Configuration management tool selection involve in many factors, it is a multifactor, complex systems engineering problem. In this paper, use the method of fuzzy decision analysis to study. First, analysis the evaluation indicators of the configuration management tool, use the decision hierarchy diagram to analysis the function, performance, cost, service and other indicators, where after, study multi-objective fuzzy decision method, including constructing the factors index matrix, constructing the fuzzy matrix, and making decisions on programs, finally, use the configuration management tool to select the instance, explain the whole process of decision analysis methods. The results show that, fuzzy decision analysis method well solves the fuzzy and non-deterministic problem, in the configuration management tool selection, practical application should be using qualitative analysis and quantitative calculated combining method, flexibility to determine the evaluation index system and its weights value.

Attributes Knowledge Reduction and Evaluation Decision of Logistics Centre Location Based on Rough Sets

Reasonable choice of logistics center location, has important significance, for optimizing the regional industrial layout, and promoting the development of modern logistics industry. For the problems such as the logistics center location by many influence factors, the decision-making and evaluation of location program are complex, this paper use the rough sets method to study. first, analyze the influence factors of logistics center location, to build the influence factors index system, second, on the basis of properties importance formula which has been given, study the attributes knowledge acquisition algorithm, then study the decision model of program evaluation, including basic evaluating relationship model, fuzzy partial order model and mathematical formula which estimate the total order of evaluation objects, in the end, through logistics center location examples to illustrate the concrete steps of attributes knowledge acquisition and evaluation decision. The results show that, use the rough sets theory, conduct the evaluation decision after the attributes knowledge acquisition, this method is simple and applicable, and is the scientific method of logistics center location.

Research and practice on the cooperative concealing technology of Trojan horses

Trojan is a Trojan horse hiding technology, one of the key technologies, directly determine the viability of Trojan horses. This paper describes the current commonly used Trojan horse hiding technology, the traditional implementation method Trojan hidden lack of independence, according to concerted hidden thought, given the four threading model under Windows systems and their specific implementation method to explain the problems encountered in the implementation process and solution approach. In response to the four further threading model is just to restore the initial state of the shortcomings of the passive given extension model. Experiments show that the four threads together more independent thought hidden Trojan horse has a better prospect.

A method of fuzzy rule representation in expert system

Fuzzy rule representation is a core of the model expert system, through analysis of traditional knowledge representation implementation disadvantages of method, propose the combine a database and knowledge base integration, using a relational database to express fuzzy rules knowledge. First, knowledge base of rules designed to convert the method to the database and corresponding table structure, and then describe the fuzzy rules, study the cartesian product of fuzzy rules based on the relationship between representation. Finally, concrete example of fuzzy rule representation. Using this method, the advantage is that queries can be used in place of reasoning, improve the treatment efficiency.

Fuzzy rule representation and knowledge base construction in expert system

Fuzzy rule is the core of fuzzy expert system, which use relational database methods knowledge to build knowledge base, the combination of database and knowledge base is the development trend of the knowledge base. This paper describes the fuzzy rules first, including fuzzy logic, fuzzy production rules, multi-dimensional fuzzy rules; and studies the fuzzy rule representation, including the general rule representation and fuzzy rule representation; finally researches the construction of knowledge base, including the Knowledge Base System Structure and knowledge base table structure. The results show that the type knowledge of fuzzy rule reflects the relationship between the rules of deductive reasoning logical implication of the way to the database is a natural extension from the database to the knowledge base, which has some theoretical and practical value.

Notice of Retraction B to C E-Commerce Platform Software Development Cost and Schedule Estimation Method

The exactly software cost and progress estimates is the necessary method to ensure the development and application of e-commerce platform to operate, while in this article we take use of combining the Function Point Analysis and COCOMO II model to estimate. In the procedure of estimation, the first thing is to estimate the function points, which is according to the type and basis for classification, B to C e-commerce platform, functions of the complexity level and other factors point to estimate the unadjusted function points, the adjustment factor calculated by the adjusted function points; then based e-commerce platform development tool in the general level of the developers estimated development costs of labor productivity; and finally take the use of COCOMO II model to estimate the progress of the development.

Study of Using Critical Path Method to Formulate the Algorithm of Software Project Schedule Planning

Formulating the practical schedule planning for the software project, is the basis of orderly carrying out the software project, is the key of project to success. In this paper, study the application of using the critical path method and related technologies to formulate the computer program algorithm for the software project schedule planning. First of all, to clarify the basis preparations, including determine the project scope, definition activities, activity sequencing, activity duration estimation, etc, Secondly, to derive the critical path, including calculate the active time, determine the critical path, then study the Software algorithm, including database design and use the problem analysis diagram to show the core program algorithm, finally, using the program, which is written in accordance with the algorithm, to simulate project plan instance, and according to the simulate result, for the specific management. The results show that, using the computer software programs to achieve the critical path method and the related techniques to formulate the schedule, to reduce the workload of plan formulation, improve the accuracy of the plan, has the higher theoretical and practical value.

Based on Process Neural Network Learning Algorithm for Prediction of Urban Water Consumption

For urban water consumption characteristics of the process will be applied to the neural network model for forecasting urban water demand. Describes the process of feed-forward neural network model and the feedback process neural network model; study of weight function based on orthogonal basis started learning algorithm, and describes the specific steps of the algorithm; drawn flowchart of urban water consumption forecast, according to the relevant historical data the training process of neural network model to analyze the data value prediction to generate predicted data and actual data of the fitting curve. The results showed that the process of neural network model for forecasting urban water demand has a certain theoretical and practical value.