DEVELOPMENT AND APPLICATION OF AHP AND ANP DECISION MODELS FOR FARM TOURISM ANALYSIS

Raziskava zajema teoretično in praktično predstavitev metod AHP – analitičnega hierarhičnega procesa in ANP – analitičnega mrežnega procesa. Na podlagi razvitega odločitvenega orodja za analizo turistične dejavnosti na kmetiji in pridobljenih podatkov želimo oceniti najustreznejšega ponudnika oz. turistično kmetijo, ki bo maksimalno zadovoljila predhodno definirane kriterije. Rezultati raziskave bodo natančno pokazali prednosti in s tem tudi slabosti posameznih obravnavanih turističnih kmetij. Raziskava bo največjo pomoč nudila potencialnim uporabnikom AHP in ANP metod pri razvoju odločitvenih modelov, na drugi strani pa tudi neposredno podporo potrošnikom, ki se odločajo počitnice preživeti na turistični kmetiji. Z obravnavanjem le-teh smo prišli do končnih rezultatov, ki pa so bili tako v AHP kot tudi v ANP modelih enaki. V vseh razvitih modelih je bila kot najboljša ponudnica turistične dejavnosti ocenjena turistična kmetija IV, ki je s svojo pestro ponudbo dosegala najboljše rezultate.The survey encompasses theoretical and practical presentation of the methods AHP – Analytic Hierarchy Process – and ANP – Analytic Network Process. On a basis of evolved decision-making tool for analysis of tourist activity at a farm and collected data we want to assess the most adequate provider, i.e. a tourist farm, which will maximally fulfil beforehand defined criteria. Results of the survey will accurately show advantages as well as disadvantages of examined tourist farms. The survey will be of the greatest help to potential users of the AHP and ANP methods in development of decision-making models, but on the other hand will also offer immediate support to consumers, who would make decisions for holiday spending at a tourist farm. After examination of above mentioned groups of subjects we got final results, which were equal in the AHP as well as ANP models. In all evolved models the best provider of tourist activity was rated the Tourist farm IV, which achieved the highest scores due to its wide selection