Location Selection - A Fuzzy Clustering approach
This paper uses the well-established Fuzzy C-Means Clustering Algorithm for suggesting a heuristic that effectively zeroes down upon a set of viable locations out of several alternatives. Besides the list of desirable location candidates, the methodology also provides a list of totally inappropriate alternatives that must be weeded out from the process of The paper also proposes a self-devised scoring mechanism that is used to rank the short-listed locations. The proposed methodology is validated on three problems, and an example is presented.
location selection fuzzy c-means clustering