Pregled bibliografske jedinice broj: 1145632
Effective Decision Making in Local GovernmentUsing the Hybrid Approach Based on Multi-Criteria Decision-Making Methods and Machine Learning
Effective Decision Making in Local GovernmentUsing the Hybrid Approach Based on Multi-Criteria Decision-Making Methods and Machine Learning // Proceedings of the 16th International Symposium on Operational Research in Slovenia / Drobne, S., Zadnik Stirn, L., . Kljajic Borstnar, M., Povh, J., . Zerovnik, J. (ur.).
online, 2021. str. 565-570 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1145632 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Effective Decision Making in Local GovernmentUsing
the Hybrid Approach Based on Multi-Criteria
Decision-Making Methods and Machine Learning
Autori
Đurek, Valentina ; Kadoić, Nikola ; Oreški, Dijana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 16th International Symposium on Operational Research in Slovenia
/ Drobne, S., Zadnik Stirn, L., . Kljajic Borstnar, M., Povh, J., . Zerovnik, J. - Online, 2021, 565-570
ISBN
978-961-6165-57-0
Skup
16th International Symposium on Operational Research (SOR 2021)
Mjesto i datum
Online, 22.09.2021. - 24.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
local government, decision making, multi criteria decision making, SNAP, neural networks
Sažetak
This paper deals with making decisions in local government units in the case of evaluating the projects of non-governmental organizations (NGOs) in the city of Zabok. There are 18 active NOGs in the city and they send their proposals to the city and depending on the quality of the proposals, the city determines the budget size they will fund. There are 17 criteria in the process of evaluation. The process requires the participation of experts that are capable of evaluation, and the city faces certain issues regarding the experts: it is hard to find them, and there is no budget to pay them. Additionally, the multi-criteria decision-making (MCDM) methods used in the process of evaluation are complex, and the process is time-consuming. In this paper, the combined MCDM & machine learning approach is used. There are several benefits of using the proposed approach. The approach applies long-term knowledge about the applicants in the evaluation of projects which is in the line with the rules of the public call. Also, the number of experts is now decreased since the neural network contains experts knowledge.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Projekti:
HRZZ-UIP-2020-02-6312 - SIMON: Inteligentni sustav za automatsku selekciju algoritama strojnog učenja u društvenim znanostima (SIMON) (Oreški, Dijana, HRZZ - 2020-02) ( CroRIS)
Ustanove:
Fakultet organizacije i informatike, Varaždin
