20.500.12556/DKUM-22421 MODELIRANJE ODLOČITVENEGA ZNANJA ZA OBRAVNAVO NEPLAČNIKOV MODELING DECISION KNOWLEDGE FOR NON-PAYERS Problem v podjetju mobilnega operaterja so neplačniki računov. Neplačniki nastanejo tako, da ne plačajo svojih računov, kljub temu, da jim pošljejo opomine in jih opozorijo pred izključitvijo telefonske številke, tukaj pa pride do problemov, ker določene stranke ne morejo poplačati svojih dolgov. Namen diplomske naloge je, pregledati vsakega neplačnika, saj med temi neplačniki obstaja določen odstotek, ki tega dolga ne bodo mogli poplačati zaradi določenih kriterijev, ki jih omenjamo v diplomski nalogi. Tako ne bo prišlo do tožbe in izbrano podjetje si ne bo delalo dodatnih stroškov. Pri tem problemu si pomagamo s teorijo ekspertnih sistemov in odločitvenih dreves. Pri odločitvenih drevesih nam najbolj pomaga zgradba odločitvenih dreves, saj tako pravilno narišemo odločitveno drevo. Morebitni rezultati se ne bodo takoj pokazali. Potreben bo čas in potrpežljivost, vendar se s to rešitvijo ukvarjajo določeni strokovni delavci, ne pa pravniki, kakor je bilo do sedaj. S tem se bo podjetje zaščitilo in tožeče stranke, ki niso zmožne poplačati dolga, bodo dali v odpis oziroma arhiv. Z odločitvenimi drevesi se bodo odločali zaposleni, ki bodo strokovno izobraženi v tej smeri, saj so zdaj o tem problemu, ki je znotraj podjetja, odločali pravniki. Pravniki bodo imeli čas za druge pravne zadeve, ne pa več za neplačnike, kar jim je vzelo precej časa. The problem in mobile network company is the people who do not pay their bills. People become non-payers by not paying their bills, in spite of the fact that they receive warnings and are warned before the company turns off their phone number. The problems that arise from this are customers who can't pay their debts. The purpose of this thesis is to check every non-payer, because there is a certain percent of these non-payers who will not be able to pay their debt due to certain criteria mentioned in this thesis. In this manner there will be no lawsuit and the company will not have extra expenses. The help that can be used with dealing with this problem is the theory of expert systems and decision trees. What helps the most with these trees is their structure. In this way we can correctly draw the decision tree. The possible results will not appear instantly. Time and patience are needed. However, certain expert workers are dealing with this issue and not legal experts, the way it was done so far. By this the company protects itself and the sued customers who cannot pay their debt will be written off or archived. These decision trees will be used by expert employees with the knowledge of this issue, because so far legal experts dealt with this problem within the company. The latter will have time for other legal issues and not the issue with non-payers, which was very time-consuming. odločitveno drevo neplačnik tožba decision tree non-payer lawsuit true true false Slovenski jezik Angleški jezik Diplomsko delo 2012-03-21 11:32:17 2012-11-13 11:30:41 2022-04-14 11:47:48 2023-12-30 03:10:33 2012 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 7087891 URN:SI:UM:DK:VBMLL8M5 VS_Leposa_Mateja_2012.pdf VS_Leposa_Mateja_2012.pdf 1 626B8121B0885AB4346EEDDDA4749237 c5dd1e5acae9e3c536ee22ddc171dc8836accbed191587f02c4d931d9ca5f022 7b01ff95-7c06-11eb-bb7a-00155d0001ca 20.500.12556/dkum/dcebaa3b-4d28-4123-8cbf-c52ccd2cd345 https://dk.um.si/Dokument.php?lang=slv&id=29188 Fakulteta za organizacijske vede 0 0 0