A Fuzzy Approach to Environmental Informatics Modelling and Data Classification for Cultural Heritage in Archaeological Sites

Environmental Informatics aims at research and system development focusing on the environmental sciences relating to the creation, collection, storage, processing, modelling, interpretation, display and dissemination of data and information. The problem of classifying a number of environmental objects into classes is one of the main problems of data analysis and arises in many areas of environmental informatics. The objectives should a) To construct fuzzy membership functions for effective classified output of environmental Informatics b) To use Fuzzy logic with PCA as the input can be used for developing an environmental information system for modeling commonsense knowledge c) To enable Knowledge modeling approach for modeling commonsense knowledge in, land selection which enables holistic approach for cultural heritage in archaeological sites. The intelligent land assessment tool based on a questionnaire to identify land types in percentages and dominated land type in archaeological sites. This enable a guide understand, instrumental values, operating values, and weak values of archaeological sites. The project highlights usability of fuzzy logic for designing and implementation of an intelligent system by principal component analysis for environmental informatics modeling and data classification. The system will be evaluated by an intelligent land assessment tool in a sub field of architecture domain of land selection in archaeological sites to come up with land classifications as physical, functional and social.