Determining Weight Coefficients of Meteorological Service Evaluation Criteria with AHP

With the rapid development of social economy in China, the demand for meteorological service keeps growing, and the evaluation for meteorological service satisfaction becomes more important. The Analytic Hierarchy Process (AHP) method is used to evaluate the meteorological service satisfaction objectively, and constructing judgment matrix of good consistency is the key to use AHP.Two scales of AHP are used to construct judgment matrix of good consistency, and then weight coefficients can be calculated and the meteorological service can be evaluated. In the assessment system of meteorological service, using overall evaluation of meteorological services as the target layer, the first-grade and the second-grade evaluation indicators are composed. With the survey data of public satisfaction to meteorological services of 2010, 1-9 methods of scale and 0.618 methods of scale in AHP are applied to establish the judgment matrices. It is found that for the judgment matrix with less than 5 evaluation indicators, 1-9 methods of scale can be used; but for the judgment matrix with 5 evaluation indicators or more, 0.618 methods of scale should be used to calculate coefficients. The method is used in processing survey data of 2011, and coefficients for the first-grade and the second-grade evaluation indicators are calculated rapidly. The main value changes between two years are compared. Among weight coefficients for the first-grade, the value of meteorological information service contents increases while the value of meteorological knowledge propaganda and popularization decreases, which illustrates that the public pays more attention to the meteorological service contents and the meteorological department has achieved certain results in the meteorological knowledge propaganda and popularization. There is no obvious tendency change among values of the second-grade evaluation indicators. All judgment matrices pass the comparison matrix consistency tests, proving that the principle of judgment matrix construction is reasonable, effective and useful.