الفهرس | Only 14 pages are availabe for public view |
Abstract In business scenarios, where some of the data or the business attributes are neutrosophic, it may be useful to construct a warehouse that can support the analysis of neutrosophic data. In this thesis, a neutrosophic data warehouse modeling approach is presented to support the neutrosophic analysis of the publishing house for books which allows integration of neutrosophic concept in dimensions and facts without affecting the core of a classical data warehouse. Also we describe a method is presented which includes guidelines that can be used to convert a classical data warehouse into a neutrosophic domain. Data warehouse and On-Line Analytical Processing (OLAP) are essential elements of decision support. OLAP is computer processing that enables a user to easily and selectively extract and view data from different points of view. Data warehouse and OLAP tools provide an efficient framework for data mining. Besides, data from real world are often imperfect, either because they are uncertain, or because they are imprecise. To solve this problem, We have presented a structure that manages imprecision by means of Neutrosophic logic. The use of neutrosophic set theory in systems enhances the understandability of the discovered knowledge, This is the reason why we have proposed an approach to perform OLAP-based on neutrosophic concept. In this thesis we have presented an OLAP system that implements a neutrosophic multidimensional model to represent imprecision using a neutrosophic concept in hierarchies and facts and achieving knowledge discovery from imperfect data. The use of a neutrosophic structures and the definition of the OLAP operations (roll-up, drill-down, slice and dice) enable the model to manage the imprecision of data and hide the complexity of the model and provide the user with a more understandable result. |