Open AccessPARTICIPANT TRUSTWORTHINESS ANALYSIS IN THE GAME-BASED URBAN PLANNING PROCESSES BY PROMETHEE-MGQNN APPROACH
Author(s) -
Romualdas Baušys,
Ingrida Leščauskienė,
Rokas Semėnas
Publication year - 2021
Publication title -
journal of civil engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.529
H-Index - 47
eISSN - 1822-3605
pISSN - 1392-3730
DOI - 10.3846/jcem.2021.15263
Subject(s) - trustworthiness , attractiveness , task (project management) , computer science , reliability (semiconductor) , multiple criteria decision analysis , construct (python library) , operations research , artificial intelligence , psychology , engineering , computer security , power (physics) , physics , systems engineering , quantum mechanics , psychoanalysis , programming language
Serious games together with the gamified and the game-based surveys (GBS), offer an engaging way to increase citizens’ participation in urban planning projects. However, there is always the risk of untrustworthy participants, which can decrease the overall reliability of the game-based research. Trustworthiness analysis is a highly challenging task since the neuropsychology of the GBS respondents and the infinite amount of their possible in-game actions causes many uncertainties in the data analysis. The novel MCDM approach PROMETHEE-mGqNN (PROMETHEE under m-generalised q-neutrosophic numbers) is proposed in this paper as the solution to the described problem. Five criteria that might be automatically calculated from the in-game data are proposed to construct the decision matrix to identify the untrustworthy respondents. The game-based survey “Parkis” developed to assess the safety and attractiveness of the urban public park “Missionary Garden” (Vilnius, Lithuania) is proposed as the case study of this research. By applying the proposed methodology, we calculated the trustworthy index value and noticed that it is capable of detecting the behavioural tendencies of the GBS players.