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A Study On Earning Ability Appraising System On AHP And Fuzzy Math

Posted on:2009-11-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y J HuFull Text:PDF
GTID:2189360272458502Subject:Business management
Abstract/Summary:PDF Full Text Request
In the developing of global economic, when China is closed with the whole world, the economic environment is changing quickly. Excellent earning ability is crucial to its own steady running and healthy development also is the basement of its own growth. How to keep the earning ability in good condition is fatal to the company's competitive advantage. Therefore, it is an urgent problem for the company to keep good earning ability. How to value company's earning ability nicety is the premise of enhancing the earning ability and very important in both theory and realism.Basing on the research background as said before, we analyzed the factors which influence the earning ability profoundly and major element, both in the quality and quantity. And then we established an unique evaluation index with not only mature fix quantity index but also qualitative index based on other scholastic's research so as to value the earning ability exactly. About the research method, according to the blur accounting information, we used the AHP to count the weight and made full use of fuzzy math analysis to evaluate the earning ability index with the membership degree . Finally, examples were given in the power industry in order to prove that the model was suitable and useful.In conclusion, we should value the earning ability from both the quality and quantity with not only fix quality index but also qualitative ones. Only in this way can we value the earning ability by rule and lines. Fuzzy math analysis is good for the blur accounting information analysis. The model basing on AHP and Fazzy math is easy to be used in the daily administration, and also is a tool with highly creditability for the investors and managers to make the right decision.
Keywords/Search Tags:Earning ability, Earning quality, AHP, Fuzzy math
PDF Full Text Request
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