الفهرس 
chapter 1Only 14 pages are availabe for public view
 |  | from | 146 |  |  |
| | | from | 146 | | |
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.