Sustainable Development Goals and Homelessness

The United Nation's Sustainable Development Goals encourage countries to solve many social problems‎. ‎One of these problems is homelessness‎. ‎We consider those goals which are most pertinent to homelessness according to \cite{13}‎. ‎We rank countries with respect to the‎ achievement of these goals‎. ‎We use fuzzy similarity measures to determine‎ ‎ the degree of similarity between these rankings‎. ‎We use three methods to‎ ‎ rank the counties‎, ‎namely‎, ‎the Analytic Hierarchy Process‎, ‎the Guiasu‎ ‎ method,‎ ‎and the Yen method‎. ‎Overall scores of categories in some basic‎ ‎ research papers pertaining to Sustainable Development Goals were obtained by‎ ‎ using multiplication of the scores of the category's targets‎. ‎Multiplication‎ ‎ was used to agree with the philosophy that in order for a high score to be‎ ‎ obtained,‎ ‎all targets must have a high score‎. ‎To support this philosophy in‎ ‎ the decision process‎, ‎we use the $t$-norms bounded difference‎, ‎algebraic‎ ‎ product,‎ ‎and standard intersection as experts‎. ‎We also suggest a way the‎ ‎ techniques used here can be extended to nonstandard analysis‎.