The Case-Based Reasoning Evaluating Model of Coal Resource Mining Right with Unknown Attribute Strength Function

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With the rapid development of coal mining rights market, case-based evaluation method will become more and more important in coal mining rights evaluation in the future. Currently case-based mining right evaluation methods home and abroad don’t solve the key problems like the criterion of case selecting, the set-up of similarity model. Based on case-based reasoning and the theories and methods of modern statistics, this thesis reveals the basic principle of case-based evaluation method of coal resource mining right, defines the important concepts like attribute index, attribute strength function, underlying asset, case assets, and case similarity; then establishes case selecting criterions and similarity model under the condition that attribute strength function is unknown; finally builds case-based evaluation model of coal resource mining right and its process. Through a practical case of coal mining rights, do researches on the application of this model. The results indicate that the price got from using case-based coal mining rights evaluation method is very close to the final deal price, and that case-based evaluation method is more effective and direct and needs less data than other evaluation methods with the precondition of existence of certain amount of comparable exchange targets.