| The Battlefield Environment(BE) simulation is an important part of complex military simulation systems. With the improving demand for model reusability and data credibility, BE modeling methods and data evaluation methods as the two main directions of BE simulation research are currently becoming the key problems and difficulties. The dissertation is devoted to BE modeling methods and data evaluation methods, which is supported by the fund of National Nature Science Foundation of China"Research on complex simulation system evaluation theories and methods"and Weapon and Equipment Fund"Research on XX Environment simulation credibility evaluation".In order to get comprehensive description and presention of BE simulation, the entity factors and interaction relationship in BE simulation are studied and ontology is proposed to describe and present BE simulation. Based on the Conceptual reference model of BE Simulation, two parts of BE simulation systems are given which are entity and interaction, and the entity factors and interaction relationship are listed in detail. Aimed at presenting interaction relationship clearly, categories of entities in military simulation are given, then the components of BE simulation are presented. Ontology is proposed to describe and present the BE simulation directly, here eight meta-ontology terms are given through modifying current terms, then OWL and meta-ontology terms are used to build BE ontology.In order to improve the reusability of BE models, a method based on metamodel is proposed considering the BE simulation description and presentation. The relationship between BE models and BE metamodels is given on the analysis of BE models. BE modeling method based on the metamodel is given and the relationship between BE models and BE metamodels is provided in detail, which means BE metamodels are abstract of BE meta models and BE models are instances of BE metamodels. Here ontological metamodel is studied as the main kind of metamodels, and metamodel hierarchy of BE is given. In order to modify the traditional mothod, the potency and domain field are presented, then through making up the components of metamodels, BE metamodels are given, which include metaclass, metaattribute, metabehavior, metainteraction and metaconstraint. On the basis of these, the BE metamodels are defined and described through XML DTD, then the BE metamodels are presented on MOF, and an example is used to illustrate the mapping between BE ontology and BE metamodels. Also the BE multi-resolution models are implemented through EBNF(Extensible Backus Naur Form).In order to implement the BE modeling based on metamodel and import BE modeling knowledge, BEMMS is presented. A schematic diagram and simple procedure flow chart of BEMMS are given, also the main packages of BEMMS are listed in detail. Three basic classes for BEMMS are designed, and BEMMS metamodels are given, here 4-layed metamodels architecture of BEMMS is designed, and the relationship between metamodels and basic classes is given. The design of BE metamodel-base is presented, which includes three main metamodels such as effect metamodels, impact metamodels and internal dynamic metamodels. And the prototype system of BEMMS is developed, which implements part functions of BEMMS.In order to solve the problems such as the data quantity of BE is large and the important data can not be distinguished easily, two methods—EAHP and ART are presented to improve the credibility of BE data. The general objectives of BE data evaluation are listed, which provide the directions for BE data evaluation. Besides, the concepts and categories of BE data are concluded and analyzed, which provides the foundation for BE data evaluation. The evaluation process and the building of evaluation index for BE are given, which present the reference for BE data evaluation process standardization. Then two methods based on EAHP and ART are provided, which can be easily used in the BE data evaluation. Then examples are given to evaluate the air data using these two methods.
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