-1.#IND is a NaN printed out by one of the more common MS Windows libraries. https://stackoverflow.com/questions/347920/what-do-1-inf00-1-ind00-and-1-ind-mean
Notice that (for whatever reason) ANFIS thinks you have 452 linear parameters and 678 nonlinear parameters for a total of 1130 parameters, but that you have only 872 training data pairs. That leaves you with more parameters than data pairs: when you have more parameters than available data, it is not uncommon for algorithms to end up computing nan (especially if the algorithm uses some kind of matrix inverse.)
