Design And Implementation Of Technology Development Trend Evaluation System

Technology development trend evaluation refers to the systematic analysis and comprehensive assessment of development problems in the field of science and technology.The results of the evaluation will have an important impact on the formulation and adjustment of science and technology strategies.The evaluation of development trend in the technical field requires both an evaluation of the current performance of the technology and a horizontal comparison of the technology development trends of various countries.At present,the existing evaluation systems in the market generally have problems such as the lacks of technical horizontal comparison functions,incomplete indicator systems,and unreasonable weight allocations.In addition,the evaluation processes are mostly based on static evaluation,which cannot dynamically display the readiness of key technologies.In order to solve the above problems,this thesis has completed the technology horizontal trend evaluation.In addition,Technology Readiness Calculator has been used to dynamically evaluate the current state of the technology.The trend evaluation is divided into quantitative indicator system trend evaluation and qualitative indicator system trend evaluation according to the type of evaluation indicators.Quantitative indicator system trend evaluation is completed with AHP and single evaluation utility function.Qualitative indicator system trend evaluation is completed with AHP and fuzzy comprehensive evaluation method.The above evaluation model is complete and reasonable.This thesis takes trend evaluation and technology readiness evaluation as the core,and uses java web technology to completely implement a trend evaluation system oriented to the development of science and technology.The main research work of the thesis is as follows:(1)This thesis constructs a general public module to complete the trend evaluation system data preparation work.This part models the evaluation tasks,evaluation indicators,evaluation objects,and target weights.This module designs database tables based on the relationship between each other,and designs and implements various functions according to actual requirements.(2)This thesis constructs a trend evaluation module to complete the implementation of the trend evaluation calculation process.The trend evaluation can be divided into quantitative indicator evaluation and qualitative indicator evaluation based on the type of indicator system.This module uses the model data constructed by the general public module to complete the construction of various matrices in this calculation module,including the judgment matrix,scoring matrix,and membership scoring matrix.This module completes the design and implementation of AHP,single evaluation utility function and fuzzy comprehensive evaluation method.(3)This thesis constructs a technology readiness evaluation module to complete the technology longitudinal evaluation.This module models evaluation tasks.In each task,users can use the basic settings to control the content of the readiness questionnaire and set the technology readiness calculation rules,and complete the design and implementation of technology readiness decision algorithms.The technology readiness evaluation module provides a standard,repeatable process for each evaluation task.(4)This thesis constructs a system management module to manage experts,templates,and users.This module completes the design and implementation of related functions according to the actual requirements analysis.The expert database and template database built in the system management are available for users to choose during the trend evaluation process.