0549081 20220320214746.920211202235959.9 10.1016/j.ifacol.2021.11.023 5 s. E cav_un_epca*05491022405-896336-40AmsterdamElsevier2021 Complex Systems Management Water Distribution Networks Expansion Project EPAnet software 2.0 cav_un_auth*0418158 Anchieta de T.F.F. BR cav_un_auth*0418159 Santos S.A.R. BR cav_un_auth*0409525 Brentan B. BR cav_un_auth*0398866 Carpitella Silvia UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR IT Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0256480 Izquierdo J. ES http://library.utia.cas.cz/separaty/2021/MTR/carpitella-0549081.pdf GA19-06569S GA ČR CZ cav_un_auth*0380559 The implementation of expansion projects of water networks supplying growing cities is deemed to be a complex decision-making problem involving both technical aspects and expert knowledge. Management and control processes must rely on experts in the field whose know-how must be coupled with techniques able to deal with the natural subjectivity that affects input evaluations. Given the presence of many decision-making elements, the choice of proper hydraulic technical parameters may be linked to the main aspects of analysis requiring formal expert evaluation. In this contribution, the simulation of hydraulic indicators is integrated with a multi-criteria approach able to eventually determine those areas of a water network through which organising the expansion may be more beneficial. The software EPAnet 2.0 is first used for hydraulic simulations, whereas the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) will eventually rank network’s nodes. A case study is solved to demonstrate the applicability and effectiveness of the proposed approach. cav_un_auth*0418060 IFAC Hybrid Conference on Analysis and Control of Chaotic Systems Catania September (CHAOS 2021) /6./ 20210927 20210929 Catania IT BA 10000 10100 10102 2022 5 PR RVO:67985556 http://hdl.handle.net/11104/0325737 S 99 0.332 18.32 1.1 7175 Q2 Q4 2021 SCOPUS PUBMED WOS cav_un_epca*0549102 IFAC-PapersOnLine.Volume 54, Issue 17 - 6th IFAC Conference on Analysis and Control of Chaotic Systems CHAOS 2021 Elsevier 2021 Amsterdam 36 40 2405-8963