BULLETIN OF THE TRANSILVANIA UNIVERSITY OF BRASOV  VOL. 9 (58) No.1 - 2016

SERIES V  -   ECONOMIC SCIENCES, ISSN 2065-2194 (Print), ISSN 2065-2208 (CD-ROM)

 

  ECONOMIC DATA PROCESSING

 

Chernov V., Dorokhov O., Dorokhova L.: Fuzzy logic approach to SWOT analysis for economics tasks and example of its

      computer realization .....................................................................................................................................................................................

317

Fanaru M.: Analysis and forecast of the economic indicators of S.C DEDEMAN.SRL ............................................................................

327

Gradinaru E., Bucs L., Bratucu G.: Statistical analysis regarding energy supply and demand in the EU and Romania

      between 1990 and 2014 ...............................................................................................................................................................................

335

Stefan M., Chitu I.B.: Analysis and forecasting of statistical indicators of health in Romania between 1997 and 2016 ...................

347

 

 

BULLETIN OF THE TRANSILVANIA UNIVERSITY OF BRASOV  VOL. 9 (58) No.2 - 2016

SERIES V  -   ECONOMIC SCIENCES, ISSN 2065-2194 (Print), ISSN 2065-2208 (CD-ROM)

 

  ECONOMIC DATA PROCESSING

 

Celik S., Baydan E.: Empirical evidence for gender differences in Turkey  ............................................................................................ 387

Chernov V, Dorokhov O., Dorokhova L.: Fuzzy approach to innovative programs development in conditions of partial and

      full uncertainty ..............................................................................................................................................................................................

399
Fanaru M.: Multivariate analysis of marketing data - applications for bricolage market ...................................................................... 419

Lixandroiu D.: An assignment model based on similarity measures of intuitionistic fuzzy sets ........................................................

429