Keyword: fuzzy set
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WEPKS012 Intuitionistic Fuzzy (IF) Evaluations of Multidimensional Model data-analysis, operation, software, lattice 805
  • I.D. Valova
    ICER, Sofia, Bulgaria
  There are different logical methods for data structuring, but no one is perfect enough. Multidimensional model of data is presentation of data in a form of cube (referred as infocube or hypercube) with data or in form of "star" type scheme (referred as multidimensional scheme), by use of F-structures (Facts) and set of D-structures (Dimensions), based on the notion of hierarchy of D-structures. The data, being subject of analysis in a specific multidimensional model is located in a Cartesian space, being restricted by D-structures. In fact, the data is either dispersed or "concentrated", therefore the data cells are not distributed evenly within the respective space. The moment of occurrence of any event is difficult to be predicted and the data is concentrated as per time periods, location of performed event, etc. To process such dispersed or concentrated data, various technical strategies are needed. The use of intuitionistic fuzzy evaluations- IFE provide us new possibilities for alternative presentation and processing of data, subject of analysis in any OLAP application. The use of IFE at the evaluation of multidimensional models will result in the following advantages: analysts will dispose with more complete information for processing and analysis of respective data; benefit for the managers is that the final decisions will be more effective ones; enabling design of more functional multidimensional schemes. The purpose of this work is to apply intuitionistic fuzzy evaluations of multidimensional model of data.