Open AccessFuzzy-logic Method for Global Quality Optimization Problem of the Programmed Action Investment
Author(s) -
David Barilla,
Giuseppe Caristi,
Alfonso Esposito,
Sabrina Lo Bosco
Publication year - 2019
Publication title -
journal of business administration research
Language(s) - English
Resource type - Journals
ISSN - 2630-5194
DOI - 10.30564/jbar.v2i3.909
Subject(s) - action (physics) , fuzzy logic , investment (military) , order (exchange) , work (physics) , quality (philosophy) , computer science , risk analysis (engineering) , decision maker , operations research , management science , environmental economics , business , economics , engineering , artificial intelligence , finance , political science , mechanical engineering , philosophy , physics , epistemology , quantum mechanics , politics , law
In order to analyze the planning of a transport linear infrastructure (railway or ordinary road), in order to optimize a relationship work-environment after-work, the study team (engineers,architects, economists, etc), realize a careful prearranged analysis about the characteristic of the site and the large area which are involved by the work project and, once one found all possible alternative solutions, he should compare them through the use of suitable technical, economical and environmental parameters, choosing that one which maximize the global utility of the public investment. In this paper we study a fuzzy-logic method in order to help the decision maker in the analysis of the programmed action public investment.